1:"$Sreact.fragment"
3:I[54118,["6693","static/chunks/fba4ba2d-460e04194f22506f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","3009","static/chunks/6a7d804d-a5cc510ceffe206f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7505","static/chunks/c02d83f4-5637599209ef9447.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1737","static/chunks/fe207bbb-c84ed91deca4f888.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9509","static/chunks/9509-6125acd3006111c1.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4378","static/chunks/4378-3f82908971052aa9.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","5289","static/chunks/5289-131715863bbab062.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4094","static/chunks/4094-eaa6158623fe27ff.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4982","static/chunks/4982-a4b2ee93ffd82ffd.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1810","static/chunks/1810-cf4ca0391c1ddf2a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","6397","static/chunks/6397-b7ccd1edf8aedf12.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7979","static/chunks/7979-1799576a8e82a4f3.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","144","static/chunks/144-1a048554a0613a1b.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","2610","static/chunks/2610-c41f461a4ed7cf24.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","528","static/chunks/528-7ef2006e50a52549.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1742","static/chunks/1742-0ea812562873537a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1172","static/chunks/1172-89020d82938322e4.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9919","static/chunks/9919-b585857c6e10fb85.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9326","static/chunks/9326-103822841b140d80.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4077","static/chunks/4077-cba4e88bdb106467.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1924","static/chunks/1924-8c4ee98e9b0dbf83.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","2530","static/chunks/2530-9eb218eca5ffc00b.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7177","static/chunks/app/layout-75dbb92d3cda2f1c.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x"],"Providers"]
4:I[98195,["6693","static/chunks/fba4ba2d-460e04194f22506f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","3009","static/chunks/6a7d804d-a5cc510ceffe206f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7505","static/chunks/c02d83f4-5637599209ef9447.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1737","static/chunks/fe207bbb-c84ed91deca4f888.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9509","static/chunks/9509-6125acd3006111c1.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4378","static/chunks/4378-3f82908971052aa9.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","5289","static/chunks/5289-131715863bbab062.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4094","static/chunks/4094-eaa6158623fe27ff.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4982","static/chunks/4982-a4b2ee93ffd82ffd.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1810","static/chunks/1810-cf4ca0391c1ddf2a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","6397","static/chunks/6397-b7ccd1edf8aedf12.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7979","static/chunks/7979-1799576a8e82a4f3.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","144","static/chunks/144-1a048554a0613a1b.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","2610","static/chunks/2610-c41f461a4ed7cf24.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","528","static/chunks/528-7ef2006e50a52549.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1742","static/chunks/1742-0ea812562873537a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1172","static/chunks/1172-89020d82938322e4.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9919","static/chunks/9919-b585857c6e10fb85.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9326","static/chunks/9326-103822841b140d80.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4077","static/chunks/4077-cba4e88bdb106467.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1924","static/chunks/1924-8c4ee98e9b0dbf83.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","2530","static/chunks/2530-9eb218eca5ffc00b.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7177","static/chunks/app/layout-75dbb92d3cda2f1c.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x"],"GoogleTagManager"]
5:I[4411,["6693","static/chunks/fba4ba2d-460e04194f22506f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","3009","static/chunks/6a7d804d-a5cc510ceffe206f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7505","static/chunks/c02d83f4-5637599209ef9447.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1737","static/chunks/fe207bbb-c84ed91deca4f888.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9509","static/chunks/9509-6125acd3006111c1.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4378","static/chunks/4378-3f82908971052aa9.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","5289","static/chunks/5289-131715863bbab062.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4094","static/chunks/4094-eaa6158623fe27ff.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4982","static/chunks/4982-a4b2ee93ffd82ffd.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1810","static/chunks/1810-cf4ca0391c1ddf2a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","6397","static/chunks/6397-b7ccd1edf8aedf12.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7979","static/chunks/7979-1799576a8e82a4f3.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","144","static/chunks/144-1a048554a0613a1b.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","2610","static/chunks/2610-c41f461a4ed7cf24.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","528","static/chunks/528-7ef2006e50a52549.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1742","static/chunks/1742-0ea812562873537a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1172","static/chunks/1172-89020d82938322e4.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9919","static/chunks/9919-b585857c6e10fb85.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9326","static/chunks/9326-103822841b140d80.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4077","static/chunks/4077-cba4e88bdb106467.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1924","static/chunks/1924-8c4ee98e9b0dbf83.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","2530","static/chunks/2530-9eb218eca5ffc00b.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7177","static/chunks/app/layout-75dbb92d3cda2f1c.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x"],"FilmAwardStrip"]
6:"$Sreact.suspense"
7:I[40459,["6693","static/chunks/fba4ba2d-460e04194f22506f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","3009","static/chunks/6a7d804d-a5cc510ceffe206f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7505","static/chunks/c02d83f4-5637599209ef9447.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1737","static/chunks/fe207bbb-c84ed91deca4f888.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9509","static/chunks/9509-6125acd3006111c1.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4378","static/chunks/4378-3f82908971052aa9.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","5289","static/chunks/5289-131715863bbab062.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4094","static/chunks/4094-eaa6158623fe27ff.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4982","static/chunks/4982-a4b2ee93ffd82ffd.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1810","static/chunks/1810-cf4ca0391c1ddf2a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","6397","static/chunks/6397-b7ccd1edf8aedf12.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7979","static/chunks/7979-1799576a8e82a4f3.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","144","static/chunks/144-1a048554a0613a1b.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","2610","static/chunks/2610-c41f461a4ed7cf24.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","528","static/chunks/528-7ef2006e50a52549.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1742","static/chunks/1742-0ea812562873537a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1172","static/chunks/1172-89020d82938322e4.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9919","static/chunks/9919-b585857c6e10fb85.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9326","static/chunks/9326-103822841b140d80.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4077","static/chunks/4077-cba4e88bdb106467.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1924","static/chunks/1924-8c4ee98e9b0dbf83.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","2530","static/chunks/2530-9eb218eca5ffc00b.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7177","static/chunks/app/layout-75dbb92d3cda2f1c.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x"],"Navbar"]
8:I[15848,[],""]
9:I[55256,["6693","static/chunks/fba4ba2d-460e04194f22506f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","3009","static/chunks/6a7d804d-a5cc510ceffe206f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7505","static/chunks/c02d83f4-5637599209ef9447.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9509","static/chunks/9509-6125acd3006111c1.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4378","static/chunks/4378-3f82908971052aa9.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1742","static/chunks/1742-0ea812562873537a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1172","static/chunks/1172-89020d82938322e4.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","8039","static/chunks/app/error-332e154bd557e323.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x"],"default"]
a:I[62142,[],""]
19:I[79302,["4219","static/chunks/app/global-error-f07d85f704128170.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x"],"default"]
:HL["/_next/static/media/7d4881bb7e1bf84d-s.p.woff2","font",{"crossOrigin":"","type":"font/woff2"}]
:HL["/_next/static/css/c91c557421edbcc1.css?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","style"]
:HL["/_next/static/css/9c4f0c3be44ead33.css?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","style"]
2:T412,
(function () {
  window.dataLayer = window.dataLayer || [];
  function gtag() { window.dataLayer.push(arguments); }

  gtag('consent', 'default', {
    ad_storage: 'denied',
    ad_user_data: 'denied',
    ad_personalization: 'denied',
    analytics_storage: 'denied',
    functionality_storage: 'denied',
    personalization_storage: 'denied',
    security_storage: 'granted'
  });

  try {
    var match = document.cookie.match(/(?:^|;\s*)gdpr_consent=([^;]*)/);
    if (!match) return;
    var saved = JSON.parse(decodeURIComponent(match[1]));
    if (!saved || typeof saved !== 'object') return;
    gtag('consent', 'update', {
      analytics_storage: saved.analytics ? 'granted' : 'denied',
      ad_storage: saved.marketing ? 'granted' : 'denied',
      ad_user_data: saved.marketing ? 'granted' : 'denied',
      ad_personalization: saved.marketing ? 'granted' : 'denied',
      functionality_storage: saved.functional ? 'granted' : 'denied'
    });
  } catch (e) {
    /* malformed cookie â€” the denied default stands */
  }
})();
0:{"P":null,"b":"vX-6P7rGIK5v7u82yfIum","p":"","c":["","models","tts-elevenlabs-with-timestamps"],"i":false,"f":[[["",{"children":["models",{"children":[["route","tts-elevenlabs-with-timestamps","d"],{"children":["__PAGE__",{}]}]}]},"$undefined","$undefined",true],["",["$","$1","c",{"children":[[["$","link","0",{"rel":"stylesheet","href":"/_next/static/css/c91c557421edbcc1.css?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","link","1",{"rel":"stylesheet","href":"/_next/static/css/9c4f0c3be44ead33.css?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}]],["$","html",null,{"lang":"en","suppressHydrationWarning":true,"className":"__variable_8c25df","children":[["$","head",null,{"children":[["$","script",null,{"id":"consent-mode-default","dangerouslySetInnerHTML":{"__html":"$2"}}],["$","script",null,{"id":"film-award-dismissed","dangerouslySetInnerHTML":{"__html":"try{if(document.cookie.split(';').some(function(c){return c.trim()===\"film_award_2027_dismissed=1\"}))document.documentElement.setAttribute(\"data-film-award-dismissed\",'')}catch(e){}"}}],["$","link",null,{"rel":"preconnect","href":"https://images.segmind.com"}],["$","link",null,{"rel":"preconnect","href":"https://segmind-resources.s3.amazonaws.com"}],["$","link",null,{"rel":"preconnect","href":"https://www.googletagmanager.com"}],["$","link",null,{"rel":"preload","href":"/fonts/Satoshi-Variable.woff2","as":"font","type":"font/woff2","crossOrigin":"anonymous"}]]}],["$","body",null,{"className":"antialiased bg-background text-foreground","children":["$","$L3",null,{"children":[["$","$L4",null,{"gtmId":"GTM-MHW23H4Z"}],["$","div",null,{"className":"min-h-screen flex flex-col","children":[["$","$L5",null,{}],["$","$6",null,{"fallback":["$","div",null,{"className":"h-16 bg-background/95 backdrop-blur border-b border-border"}],"children":["$","$L7",null,{}]}],["$","main",null,{"className":"flex-1","children":["$","$L8",null,{"parallelRouterKey":"children","error":"$9","errorStyles":[],"errorScripts":[],"template":["$","$La",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":[["$","div",null,{"className":"min-h-screen bg-background flex items-center justify-center px-4 sm:px-6 lg:px-8","children":["$","div",null,{"className":"max-w-lg w-full text-center","children":[["$","div",null,{"className":"mb-8","children":["$","div",null,{"className":"relative","children":[["$","h1",null,{"className":"text-9xl font-bold text-muted/20 dark:text-muted/10 select-none","children":"404"}],["$","div",null,{"className":"absolute inset-0 flex items-center justify-center","children":["$","div",null,{"className":"relative","children":[["$","div",null,{"className":"absolute -top-8 -left-8 w-16 h-16 bg-brand-100 dark:bg-brand-950 rounded-full flex items-center justify-center animate-bounce","children":["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-zap w-8 h-8 text-brand-500","children":["$Lb","$undefined"]}]}],"$Lc","$Ld"]}]}]]}]}],"$Le","$Lf","$L10","$L11"]}]}],[]],"forbidden":"$undefined","unauthorized":"$undefined"}]}],"$L12"]}],"$L13","$L14"]}]}]]}]]}],{"children":["models","$L15",{"children":[["route","tts-elevenlabs-with-timestamps","d"],"$L16",{"children":["__PAGE__","$L17",{},null,false]},null,false]},null,false]},null,false],"$L18",false]],"m":"$undefined","G":["$19",[]],"s":false,"S":true}
1a:I[75289,["6693","static/chunks/fba4ba2d-460e04194f22506f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","3009","static/chunks/6a7d804d-a5cc510ceffe206f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7505","static/chunks/c02d83f4-5637599209ef9447.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","6541","static/chunks/fb4e7fc9-e31ad622f5fde25d.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9761","static/chunks/998e86a0-e112630ec4db17dc.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9509","static/chunks/9509-6125acd3006111c1.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4378","static/chunks/4378-3f82908971052aa9.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","5289","static/chunks/5289-131715863bbab062.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4094","static/chunks/4094-eaa6158623fe27ff.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4982","static/chunks/4982-a4b2ee93ffd82ffd.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1810","static/chunks/1810-cf4ca0391c1ddf2a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","6118","static/chunks/6118-7328b7d3f629a5ef.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7979","static/chunks/7979-1799576a8e82a4f3.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","393","static/chunks/393-7cd2157fc3790475.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","3985","static/chunks/3985-1f9bcb95de313d61.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","2610","static/chunks/2610-c41f461a4ed7cf24.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4844","static/chunks/4844-011fe3465334e7d0.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9305","static/chunks/9305-0f5d0f2a661afddc.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","713","static/chunks/713-dcb3ca4f0233704d.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","3504","static/chunks/3504-ae9bc2dc93d2ef47.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1742","static/chunks/1742-0ea812562873537a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1172","static/chunks/1172-89020d82938322e4.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9919","static/chunks/9919-b585857c6e10fb85.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9326","static/chunks/9326-103822841b140d80.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1885","static/chunks/1885-f206f5873f09b3e2.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4077","static/chunks/4077-cba4e88bdb106467.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","5126","static/chunks/5126-bdde68ce894e4935.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","5642","static/chunks/5642-c80cb7ee6e914a6a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1924","static/chunks/1924-8c4ee98e9b0dbf83.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","6372","static/chunks/6372-3e2880fc7d769d1f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1289","static/chunks/1289-4fdf72847f7ef615.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","8382","static/chunks/8382-004a14550e3769cc.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1951","static/chunks/app/models/%5Broute%5D/page-c5fd4df0a8a5cab4.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x"],""]
1b:I[4717,["6693","static/chunks/fba4ba2d-460e04194f22506f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","3009","static/chunks/6a7d804d-a5cc510ceffe206f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7505","static/chunks/c02d83f4-5637599209ef9447.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1737","static/chunks/fe207bbb-c84ed91deca4f888.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9509","static/chunks/9509-6125acd3006111c1.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4378","static/chunks/4378-3f82908971052aa9.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","5289","static/chunks/5289-131715863bbab062.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4094","static/chunks/4094-eaa6158623fe27ff.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4982","static/chunks/4982-a4b2ee93ffd82ffd.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1810","static/chunks/1810-cf4ca0391c1ddf2a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","6397","static/chunks/6397-b7ccd1edf8aedf12.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7979","static/chunks/7979-1799576a8e82a4f3.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","144","static/chunks/144-1a048554a0613a1b.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","2610","static/chunks/2610-c41f461a4ed7cf24.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","528","static/chunks/528-7ef2006e50a52549.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1742","static/chunks/1742-0ea812562873537a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1172","static/chunks/1172-89020d82938322e4.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9919","static/chunks/9919-b585857c6e10fb85.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9326","static/chunks/9326-103822841b140d80.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4077","static/chunks/4077-cba4e88bdb106467.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1924","static/chunks/1924-8c4ee98e9b0dbf83.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","2530","static/chunks/2530-9eb218eca5ffc00b.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7177","static/chunks/app/layout-75dbb92d3cda2f1c.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x"],"Footer"]
1c:I[35733,["6693","static/chunks/fba4ba2d-460e04194f22506f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","3009","static/chunks/6a7d804d-a5cc510ceffe206f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7505","static/chunks/c02d83f4-5637599209ef9447.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9509","static/chunks/9509-6125acd3006111c1.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4378","static/chunks/4378-3f82908971052aa9.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","6397","static/chunks/6397-b7ccd1edf8aedf12.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1742","static/chunks/1742-0ea812562873537a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","341","static/chunks/app/models/(catalogue)/loading-03c2017343ab8539.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x"],"Toaster"]
1d:I[20659,["6693","static/chunks/fba4ba2d-460e04194f22506f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","3009","static/chunks/6a7d804d-a5cc510ceffe206f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7505","static/chunks/c02d83f4-5637599209ef9447.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1737","static/chunks/fe207bbb-c84ed91deca4f888.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9509","static/chunks/9509-6125acd3006111c1.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4378","static/chunks/4378-3f82908971052aa9.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","5289","static/chunks/5289-131715863bbab062.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4094","static/chunks/4094-eaa6158623fe27ff.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4982","static/chunks/4982-a4b2ee93ffd82ffd.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1810","static/chunks/1810-cf4ca0391c1ddf2a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","6397","static/chunks/6397-b7ccd1edf8aedf12.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7979","static/chunks/7979-1799576a8e82a4f3.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","144","static/chunks/144-1a048554a0613a1b.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","2610","static/chunks/2610-c41f461a4ed7cf24.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","528","static/chunks/528-7ef2006e50a52549.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1742","static/chunks/1742-0ea812562873537a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1172","static/chunks/1172-89020d82938322e4.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9919","static/chunks/9919-b585857c6e10fb85.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9326","static/chunks/9326-103822841b140d80.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4077","static/chunks/4077-cba4e88bdb106467.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1924","static/chunks/1924-8c4ee98e9b0dbf83.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","2530","static/chunks/2530-9eb218eca5ffc00b.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7177","static/chunks/app/layout-75dbb92d3cda2f1c.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x"],"LazyLayoutExtras"]
20:I[30661,[],"OutletBoundary"]
22:I[72272,[],"AsyncMetadataOutlet"]
24:I[30661,[],"ViewportBoundary"]
26:I[30661,[],"MetadataBoundary"]
b:["$","path","1xq2db",{"d":"M4 14a1 1 0 0 1-.78-1.63l9.9-10.2a.5.5 0 0 1 .86.46l-1.92 6.02A1 1 0 0 0 13 10h7a1 1 0 0 1 .78 1.63l-9.9 10.2a.5.5 0 0 1-.86-.46l1.92-6.02A1 1 0 0 0 11 14z"}]
c:["$","div",null,{"className":"absolute -top-4 -right-12 w-12 h-12 bg-brand-secondary-100 dark:bg-brand-secondary-950 rounded-full flex items-center justify-center animate-pulse","children":["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-search w-6 h-6 text-brand-secondary-500","children":[["$","circle","4ej97u",{"cx":"11","cy":"11","r":"8"}],["$","path","1qie3q",{"d":"m21 21-4.3-4.3"}],"$undefined"]}]}]
d:["$","div",null,{"className":"absolute -bottom-6 left-4 w-10 h-10 bg-green-100 dark:bg-green-950 rounded-full flex items-center justify-center animate-bounce delay-200","children":["$","div",null,{"className":"w-3 h-3 bg-green-500 rounded-full"}]}]
e:["$","div",null,{"className":"mb-8","children":[["$","h2",null,{"className":"text-2xl font-semibold text-foreground mb-4","children":"Page Not Found"}],["$","p",null,{"className":"text-muted-foreground text-lg mb-2","children":"Oops! The page you're looking for doesn't exist."}],["$","p",null,{"className":"text-muted-foreground","children":"It might have been moved, deleted, or you entered the wrong URL."}]]}]
f:["$","div",null,{"className":"flex flex-col sm:flex-row gap-4 justify-center items-center mb-12","children":[["$","$L1a",null,{"href":"/","className":"inline-flex items-center justify-center gap-2 px-6 py-3 bg-brand-600 dark:bg-brand-500 text-white rounded-lg hover:bg-brand-700 dark:hover:bg-brand-600 transition-colors font-medium text-base w-full sm:w-auto","children":[["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-house w-5 h-5","children":[["$","path","5wwlr5",{"d":"M15 21v-8a1 1 0 0 0-1-1h-4a1 1 0 0 0-1 1v8"}],["$","path","1d0kgt",{"d":"M3 10a2 2 0 0 1 .709-1.528l7-5.999a2 2 0 0 1 2.582 0l7 5.999A2 2 0 0 1 21 10v9a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2z"}],"$undefined"]}],"Go Home"]}],["$","$L1a",null,{"href":"/models","className":"inline-flex items-center justify-center gap-2 px-6 py-3 bg-surface border border-border text-foreground rounded-lg hover:bg-surface/80 transition-colors font-medium text-base w-full sm:w-auto","children":[["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-search w-5 h-5","children":[["$","circle","4ej97u",{"cx":"11","cy":"11","r":"8"}],["$","path","1qie3q",{"d":"m21 21-4.3-4.3"}],"$undefined"]}],"Browse Models"]}]]}]
10:["$","div",null,{"className":"border-t border-border pt-8","children":[["$","p",null,{"className":"text-sm text-muted-foreground mb-4","children":"Popular destinations:"}],["$","div",null,{"className":"flex flex-wrap justify-center gap-4 text-sm","children":[["$","$L1a",null,{"href":"/models/tags/image","className":"text-brand-600 dark:text-brand-400 hover:text-brand-700 dark:hover:text-brand-300 transition-colors","children":"Image Models"}],["$","span",null,{"className":"text-muted-foreground","children":"â€¢"}],["$","$L1a",null,{"href":"/models/tags/video","className":"text-brand-600 dark:text-brand-400 hover:text-brand-700 dark:hover:text-brand-300 transition-colors","children":"Video Models"}],["$","span",null,{"className":"text-muted-foreground","children":"â€¢"}],["$","$L1a",null,{"href":"/models/tags/llms","className":"text-brand-600 dark:text-brand-400 hover:text-brand-700 dark:hover:text-brand-300 transition-colors","children":"LLMs"}],["$","span",null,{"className":"text-muted-foreground","children":"â€¢"}],["$","$L1a",null,{"href":"/models","className":"text-brand-600 dark:text-brand-400 hover:text-brand-700 dark:hover:text-brand-300 transition-colors","children":"All Models"}]]}]]}]
11:["$","div",null,{"className":"mt-8","children":["$","$L1a",null,{"href":"/","className":"inline-flex items-center text-sm text-muted-foreground hover:text-foreground transition-colors","children":[["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-arrow-left w-4 h-4 mr-2","children":[["$","path","1l729n",{"d":"m12 19-7-7 7-7"}],["$","path","x3x0zl",{"d":"M19 12H5"}],"$undefined"]}],"Go back to homepage"]}]}]
12:["$","$L1b",null,{}]
13:["$","$L1c",null,{"closeButton":true,"toastOptions":{"duration":30000}}]
14:["$","$L1d",null,{}]
15:["$","$1","c",{"children":[null,["$","$L8",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$La",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]]}]
16:["$","$1","c",{"children":[null,"$L1e"]}]
17:["$","$1","c",{"children":["$L1f",null,["$","$L20",null,{"children":["$L21",["$","$L22",null,{"promise":"$@23"}]]}]]}]
18:["$","$1","h",{"children":[null,[["$","$L24",null,{"children":"$L25"}],["$","meta",null,{"name":"next-size-adjust","content":""}]],["$","$L26",null,{"children":["$","div",null,{"hidden":true,"children":["$","$6",null,{"fallback":null,"children":"$L27"}]}]}]]}]
25:[["$","meta","0",{"charSet":"utf-8"}],["$","meta","1",{"name":"viewport","content":"width=device-width, initial-scale=1"}]]
21:null
28:I[53921,["6693","static/chunks/fba4ba2d-460e04194f22506f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","3009","static/chunks/6a7d804d-a5cc510ceffe206f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7505","static/chunks/c02d83f4-5637599209ef9447.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9509","static/chunks/9509-6125acd3006111c1.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4378","static/chunks/4378-3f82908971052aa9.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","5289","static/chunks/5289-131715863bbab062.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1742","static/chunks/1742-0ea812562873537a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1172","static/chunks/1172-89020d82938322e4.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7213","static/chunks/7213-ed3acee0c865cd60.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7256","static/chunks/app/models/%5Broute%5D/layout-23522cb6540a765c.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x"],"default"]
2c:I[4704,[],"IconMark"]
29:T1607,# ElevenLabs Text-to-Speech: Advanced AI Voice Generation

## What is ElevenLabs Text-to-Speech?

ElevenLabs Text-to-Speech (TTS) is a suite of advanced AI models that transform written text into highly realistic, emotionally expressive spoken audio. Unlike traditional TTS systems that sound robotic or flat, ElevenLabs uses deep learning to generate voices with natural prosody, emotion, and cultural nuance. The platform offers multiple model variants optimized for different use casesâ€”from Eleven v3's emotion-rich delivery across 70+ languages to Flash v2.5's ultra-low latency for real-time streaming applications.

These models adapt tone and inflection based on textual context, making them suitable for professional voiceovers, audiobook narration, interactive conversational agents, and multilingual content localization. Developers can control voice characteristics through parameters like stability, similarity boost, and style exaggeration to fine-tune output quality.

## Key Features

- **Multi-Model Architecture**: Choose from eight specialized models including Eleven v3 (70+ languages), Multilingual v2 (29 languages), Flash v2.5 (ultra-low latency), and Turbo v2.5 (32 languages with speed optimization)
- **Emotional Intelligence**: Models naturally interpret text sentiment and adjust tone, pitch, and pacing accordingly
- **Voice Cloning Support**: Use custom Voice IDs to replicate specific speakers with high fidelity
- **Multilingual Excellence**: Native support for 30+ languages with proper pronunciation and cultural intonation
- **Real-Time Streaming**: Flash and Turbo models deliver sub-300ms latency for live applications
- **Granular Control**: Adjust stability, similarity boost, style, speed, and speaker boost for precise voice tuning

## Best Use Cases

**Media Production**: Generate voiceovers for video content, podcasts, and documentary narration with professional-grade audio quality.

**Accessibility**: Convert written content into speech for visually impaired users or learning applications requiring audio formats.

**Gaming & Interactive Media**: Create dynamic NPC dialogue and character voices that respond contextually to player actions.

**E-Learning Platforms**: Produce multilingual course materials with consistent voice quality across languages.

**Customer Service**: Power conversational AI agents with natural-sounding voices for phone systems and chatbots.

**Audiobook Production**: Scale audiobook creation across genres and languages while maintaining narrative consistency and emotional depth.

## Prompt Tips and Output Quality

**Text Structure**: Use punctuation strategicallyâ€”commas add natural pauses, ellipses create suspense, and exclamation marks increase energy. Short phrases (under 500 characters) generate faster; longer text enables better contextual understanding.

**Parameter Optimization**:
- **Stability (0.0-1.0)**: Lower values (0.3-0.5) create expressive, emotional speech; higher values (0.7-1.0) produce consistent, stable narration
- **Similarity Boost (0.0-1.0)**: Set to 0.85+ for maximum voice clone accuracy; reduce to 0.5-0.7 for more variation
- **Style (0.0-1.0)**: Use 0.0-0.3 for natural delivery; increase to 0.7+ for dramatic, exaggerated performances
- **Speed (0.25-4.0)**: Default 1.0 is natural; 1.5+ for fast-paced content; 0.75 for deliberate, educational material

**Model Selection**: Use Eleven v3 for maximum emotional range and language support; Flash v2.5 for real-time chat applications; Multilingual v2 for long-form audiobooks; Turbo v2.5 when balancing quality and latency.

**Reproducibility**: Set a fixed `seed` value to generate identical audio outputs across API callsâ€”critical for A/B testing and iterative refinement.

## FAQs

**Which model should I choose for my application?**  
Use **Eleven v3** for premium emotional content across 70+ languages, **Flash v2.5** for latency-critical real-time streaming, **Multilingual v2** for stable long-form narration, and **Turbo v2.5** when you need both quality and speed across 32 languages.

**How do I customize voice characteristics?**  
Adjust `stability` to control emotional variation, `similarity_boost` to match a reference voice, and `style` to exaggerate delivery. Enable `use_speaker_boost` to enhance voice clone accuracy. Combine parameters iteratively based on your quality requirements.

**What's the difference between stability and similarity boost?**  
**Stability** controls emotional range (low = expressive, high = consistent), while **similarity_boost** determines how closely the output matches the original Voice ID (high = accurate clone, low = more interpretation).

**Can I generate the same audio output repeatedly?**  
Yes. Set a fixed `seed` value (any integer between 0 and 4,294,967,295) to ensure deterministic outputs. Use `seed: 0` for randomization across API calls.

**What languages are supported?**  
The platform supports 30+ languages including English, Spanish, French, German, Italian, Portuguese, Polish, Hindi, Arabic, Chinese, Japanese, Korean, and more. Specify language using ISO 639-1 codes via `language_code` parameter, or leave empty for automatic detection.

**How does text normalization affect output?**  
Text normalization converts written formats (numbers, dates, abbreviations) into speakable text. Set `apply_text_normalization: "auto"` for smart handling, `"on"` to force normalization, or `"off"` to preserve text exactly as written. Enable `apply_language_text_normalization` for language-specific rules (currently optimized for Japanese).2a:T91d,# ElevenLabs Text-to-Speech: Effective Usage Guide

ElevenLabs Text-to-Speech (TTS) delivers natural, emotionally rich audio across 30+ languages. This guide helps you pick the right model and fine-tune parameters for common scenarios.

## 1. Model Selection
- **eleven_v3**: Best for premium narration with deep emotional range (70+ languages).  
- **eleven_multilingual_v2**: Ideal for long-form audiobooks and global content (29 languages).  
- **eleven_flash_v2_5**: Ultra-low latency (<300 ms) for real-time chatbots and streaming.  
- **eleven_turbo_v2_5**: Balanced quality and speed (32 languages) for interactive apps.

## 2. Core Parameters
Use these sliders in your API call:
- **stability (0.0â€“1.0)**:  
  â€¢ 0.3â€“0.5 for expressive, emotional reads  
  â€¢ 0.7â€“1.0 for consistent, steady narration  
- **similarity_boost (0.0â€“1.0)**:  
  â€¢ 0.85+ for voice cloning fidelity  
  â€¢ 0.5â€“0.7 for slight variation  
- **style (0.0â€“1.0)**:  
  â€¢ 0.0â€“0.3 for natural delivery  
  â€¢ 0.7+ for dramatic emphasis  
- **speed (0.25â€“4.0)**:  
  â€¢ 1.0 normal pace  
  â€¢ 1.5+ for fast-paced content  
  â€¢ 0.75 for clear, deliberate speech  

## 3. Use-Case Presets
1. **Audiobook Narration**  
   Model: eleven_multilingual_v2  
   stability: 0.8, style: 0.2, speed: 1.0  
2. **Podcast/Voiceover**  
   Model: eleven_v3  
   stability: 0.6, similarity_boost: 0.9, style: 0.4, speed: 1.1  
3. **Interactive Agent (Chatbot/Game NPC)**  
   Model: eleven_flash_v2_5  
   stability: 0.5, style: 0.3, speed: 1.3  
4. **E-Learning Modules**  
   Model: eleven_turbo_v2_5  
   stability: 0.9, style: 0.1, speed: 0.9  

## 4. Prompt Construction
- Keep sentences under 500 characters for fast turnaround.  
- Use punctuation for natural pauses: commas, ellipses, exclamation marks.  
- Insert SSML tags (e.g., `<break time="500ms"/>`) for precise silences.

## 5. Reproducibility & Normalization
- **Seed**: Set any integer (0 for random) to reproduce output across calls.  
- **apply_text_normalization**:  
  â€¢ `auto` for smart handling  
  â€¢ `on` to enforce  
  â€¢ `off` to preserve original text  

Tailor these settings iteratively to match your brand voice, emotional tone, and delivery speed. Enjoy lifelike, context-aware speech with ElevenLabs TTS!1e:["$","$L28",null,{"route":"tts-elevenlabs-with-timestamps","modelDetails":{"title":"TTS Elevenlabs With Timing","thumbnail_image":"https://segmind-resources.s3.amazonaws.com/output/tts-elevenlabs-with-timestamps-6025.png","type":"audioToText","model_type":"SEL","is_depreciated":false,"meta_description":"Transforms text into emotionally expressive audio with unparalleled realism and versatility across languages.","seo_description":"$29","guide":"$2a","pricing_guide":null,"artifacts":[],"default_image_output":"TTS Elevenlabs With Timing","default_response":null,"parameters":{"prompt":{"isRequired":true,"affectsPricing":false,"type":"str","description":"Text for generating audio. Use short phrases for quick outputs and longer text for detailed responses.","isEnum":false,"hidden":false,"isAdvanced":false,"displayOrder":1,"component":"textarea","default":"Explore the depths of the ocean with us, where mystery and wonder await.","displayValue":"Explore the depths of the ocean with us, where mystery and wonder await.","label":"Prompt"},"voice_id":{"default":"21m00Tcm4TlvDq8ikWAM","isRequired":false,"affectsPricing":false,"type":"str","description":"Set a voice ID for personalized output. Use default for standard or specific ID for a custom voice.","isEnum":false,"hidden":false,"isAdvanced":false,"displayOrder":3,"component":"textbox","displayValue":"21m00Tcm4TlvDq8ikWAM","label":"Voice ID"},"model_id":{"default":"eleven_multilingual_v2","isRequired":false,"affectsPricing":false,"type":"str","description":"Choose a TTS model. Use 'multilingual' for global languages and 'turbo' for faster processing.","isEnum":true,"hidden":false,"isAdvanced":false,"displayOrder":4,"component":"dropdown","displayValue":"eleven_multilingual_v2","label":"Model ID","values":["eleven_v3","eleven_multilingual_v2","eleven_flash_v2_5","eleven_turbo_v2_5","eleven_turbo_v2","eleven_flash_v2","eleven_monolingual_v1","eleven_multilingual_v1"]},"language_code":{"default":"","isRequired":false,"affectsPricing":false,"type":"str","description":"Specify language for output using ISO 639-1 code. Set 'en' for English, or default for automatic detection.","isEnum":true,"hidden":false,"isAdvanced":true,"displayOrder":5,"component":"dropdown","displayValue":"en","label":"Language Code","values":["en","es","fr","de","it","pt","pl","hi","ar","zh","ja","ko","nl","tr","sv","id","fil","uk","el","cs","fi","ro","ru","da","bg","ms","sk","hr","ta","no"]},"stability":{"default":0.7,"isRequired":false,"affectsPricing":false,"type":"float","description":"Controls emotional range in voice. Use lower values for more emotion or higher for consistent tone.","isEnum":false,"hidden":false,"isAdvanced":true,"displayOrder":6,"component":"slider","displayValue":0.7,"label":"Stability","range":[0,1],"step":0.01},"use_speaker_boost":{"default":true,"isRequired":false,"affectsPricing":false,"type":"boolean","description":"Enhance similarity to the original voice. Enable for maximum likeness; disable for more neutral tone.","isEnum":false,"hidden":false,"isAdvanced":true,"displayOrder":7,"component":"checkbox","displayValue":true,"label":"Use Speaker Boost"},"similarity_boost":{"default":0.85,"isRequired":false,"affectsPricing":false,"type":"float","description":"Adjusts voice similarity to original. Higher values for likeness, lower for variability.","isEnum":false,"hidden":false,"isAdvanced":true,"displayOrder":8,"component":"slider","displayValue":0.85,"label":"Similarity Boost","range":[0,1],"step":0.01},"style":{"default":0.3,"isRequired":false,"affectsPricing":true,"type":"float","description":"Sets style exaggeration. Use low for subtle, natural sound or high for dramatic effect.","isEnum":false,"hidden":false,"isAdvanced":true,"displayOrder":9,"component":"slider","displayValue":0.3,"label":"Style","range":[0,1],"step":0.01},"speed":{"default":1.1,"isRequired":false,"affectsPricing":false,"type":"float","description":"Adjusts speech pace. Set lower for clarity, higher for quick delivery.","isEnum":false,"hidden":false,"isAdvanced":true,"displayOrder":10,"component":"slider","displayValue":1.1,"label":"Speed","range":[0.25,4],"step":0.05},"seed":{"default":12345678,"isRequired":false,"affectsPricing":false,"type":"int","description":"Ensure repeatable outputs with a seed. Use '0' for randomization or set a number for consistency.","isEnum":false,"hidden":false,"isAdvanced":true,"displayOrder":11,"component":"text_field","displayValue":12345678,"label":"Seed","range":[0,4294967295]},"apply_text_normalization":{"default":"auto","isRequired":false,"affectsPricing":false,"type":"str","description":"Handle text normalization. Set 'auto' for default, 'on' for guaranteed, or 'off' for text as is.","isEnum":true,"hidden":false,"isAdvanced":true,"displayOrder":12,"component":"dropdown","displayValue":"auto","label":"Apply Text Normalization","values":["auto","on","off"]},"apply_language_text_normalization":{"default":false,"isRequired":false,"affectsPricing":false,"type":"boolean","description":"Enable language-specific text normalization if supported, mostly for Japanese. Use-default otherwise.","isEnum":false,"hidden":false,"isAdvanced":true,"displayOrder":13,"component":"checkbox","displayValue":false,"label":"Apply Language Text Normalization"}},"endpoints":{"main":"/v1/tts-elevenlabs-with-timestamps"},"api_notes":[],"model_outputs":null,"llm_capabilities":null,"license":"","github_link":null,"inference_provider":"ELEVENLABS","created_ts":"2025-11-11 11:44:04.622895+00:00","slug":"tts-elevenlabs-with-timestamps","name":"TTS Elevenlabs With Timing","description":"Emotionally expressive TTS with word-level timestamp output.","category":"audioToText","modality":"audio","input":"audio","output":"text","provider":"ELEVENLABS","thumbnail_url":"https://segmind-resources.s3.amazonaws.com/output/tts-elevenlabs-with-timestamps-6025.png","is_new":false,"coming_soon":false,"popularity_score":44,"category_percentile":86,"average_cost":0.040927139037433155,"latency_seconds":5.30835,"created_at":"2025-11-11 11:44:04.622895+00:00","parameters_schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","version":"2.0.0","type":"object","properties":{"prompt":{"type":"string","description":"Text for generating audio. Use short phrases for quick outputs and longer text for detailed responses.","default":"Explore the depths of the ocean with us, where mystery and wonder await.","title":"Prompt","x-ui-metadata":{"order":1,"advanced":false,"hidden":false}},"voice_id":{"type":"string","description":"ElevenLabs voice ID (e.g., '21m00Tcm4TlvDq8ikWAM'). If not provided, voice parameter will be used.","default":"","title":"Voice ID","x-ui-metadata":{"order":3,"advanced":false,"hidden":false,"api-dropdown":{"endpoint":"https://www.segmind.com/api/voices","authType":"mixed","allowCustom":true,"searchEndpoint":"/api/voices/search","detailEndpoint":"/api/voices"}}},"model_id":{"type":"string","description":"Choose a TTS model. Use 'multilingual' for global languages and 'turbo' for faster processing.","default":"eleven_multilingual_v2","oneOf":[{"const":"eleven_v3","title":"eleven_v3"},{"const":"eleven_multilingual_v2","title":"eleven_multilingual_v2"},{"const":"eleven_flash_v2_5","title":"eleven_flash_v2_5"},{"const":"eleven_turbo_v2_5","title":"eleven_turbo_v2_5"},{"const":"eleven_turbo_v2","title":"eleven_turbo_v2"},{"const":"eleven_flash_v2","title":"eleven_flash_v2"},{"const":"eleven_monolingual_v1","title":"eleven_monolingual_v1"},{"const":"eleven_multilingual_v1","title":"eleven_multilingual_v1"}],"title":"Model iD","x-ui-metadata":{"order":4,"advanced":false,"hidden":false}},"language_code":{"type":"string","description":"Specify language for output using ISO 639-1 code. Set 'en' for English, or default for automatic detection.","default":"","oneOf":[{"const":"","title":""},{"const":"en","title":"en"},{"const":"es","title":"es"},{"const":"fr","title":"fr"},{"const":"de","title":"de"},{"const":"it","title":"it"},{"const":"pt","title":"pt"},{"const":"pl","title":"pl"},{"const":"hi","title":"hi"},{"const":"ar","title":"ar"},{"const":"zh","title":"zh"},{"const":"ja","title":"ja"},{"const":"ko","title":"ko"},{"const":"nl","title":"nl"},{"const":"tr","title":"tr"},{"const":"sv","title":"sv"},{"const":"id","title":"id"},{"const":"fil","title":"fil"},{"const":"uk","title":"uk"},{"const":"el","title":"el"},{"const":"cs","title":"cs"},{"const":"fi","title":"fi"},{"const":"ro","title":"ro"},{"const":"ru","title":"ru"},{"const":"da","title":"da"},{"const":"bg","title":"bg"},{"const":"ms","title":"ms"},{"const":"sk","title":"sk"},{"const":"hr","title":"hr"},{"const":"ta","title":"ta"},{"const":"no","title":"no"}],"title":"Language code","x-ui-metadata":{"order":5,"advanced":true,"hidden":false}},"stability":{"type":"number","description":"Controls emotional range in voice. Use lower values for more emotion or higher for consistent tone.","default":0.7,"minimum":0,"maximum":1,"multipleOf":0.01,"title":"Stability","x-ui-metadata":{"order":6,"advanced":true,"hidden":false}},"use_speaker_boost":{"type":"boolean","description":"Enhance similarity to the original voice. Enable for maximum likeness; disable for more neutral tone.","default":true,"title":"Use speaker boost","x-ui-metadata":{"order":7,"advanced":true,"hidden":false}},"similarity_boost":{"type":"number","description":"Adjusts voice similarity to original. Higher values for likeness, lower for variability.","default":0.85,"minimum":0,"maximum":1,"multipleOf":0.01,"title":"Similarity boost","x-ui-metadata":{"order":8,"advanced":true,"hidden":false}},"style":{"type":"number","description":"Sets style exaggeration. Use low for subtle, natural sound or high for dramatic effect.","default":0.3,"minimum":0,"maximum":1,"multipleOf":0.01,"title":"Style","x-ui-metadata":{"order":9,"advanced":true,"hidden":false}},"speed":{"type":"number","description":"Adjusts speech pace. Set lower for clarity, higher for quick delivery.","default":1.1,"minimum":0.25,"maximum":4,"multipleOf":0.05,"title":"Speed","x-ui-metadata":{"order":10,"advanced":true,"hidden":false}},"seed":{"type":"integer","description":"Ensure repeatable outputs with a seed. Use '0' for randomization or set a number for consistency.","default":12345678,"minimum":0,"maximum":4294967295,"title":"Seed","x-ui-metadata":{"order":11,"advanced":true,"hidden":false}},"apply_text_normalization":{"type":"string","description":"Handle text normalization. Set 'auto' for default, 'on' for guaranteed, or 'off' for text as is.","default":"auto","oneOf":[{"const":"auto","title":"auto"},{"const":"on","title":"on"},{"const":"off","title":"off"}],"title":"Apply text normalization","x-ui-metadata":{"order":12,"advanced":true,"hidden":false}},"apply_language_text_normalization":{"type":"boolean","description":"Enable language-specific text normalization if supported, mostly for Japanese. Use-default otherwise.","default":false,"title":"Apply language text normalization","x-ui-metadata":{"order":13,"advanced":true,"hidden":false}}},"required":["prompt"],"examples":[{"prompt":"Explore the depths of the ocean with us, where mystery and wonder await.","voice_id":"21m00Tcm4TlvDq8ikWAM","model_id":"eleven_multilingual_v2","stability":0.7,"use_speaker_boost":true,"similarity_boost":0.85,"style":0.3,"speed":1.1,"seed":12345678,"apply_text_normalization":"auto","apply_language_text_normalization":false}]}},"metrics":{"total_requests":null,"latency":5.30835},"children":"$L2b"}]
23:{"metadata":[["$","title","0",{"children":"TTS Elevenlabs With Timing API | Segmind"}],["$","meta","1",{"name":"description","content":"Transforms text into emotionally expressive audio with unparalleled realism and versatility across languages."}],["$","link","2",{"rel":"canonical","href":"https://www.segmind.com/models/tts-elevenlabs-with-timestamps"}],["$","meta","3",{"property":"og:title","content":"TTS Elevenlabs With Timing API | Segmind"}],["$","meta","4",{"property":"og:description","content":"Transforms text into emotionally expressive audio with unparalleled realism and versatility across languages."}],["$","meta","5",{"property":"og:image","content":"https://segmind-resources.s3.amazonaws.com/output/tts-elevenlabs-with-timestamps-6025.png"}],["$","meta","6",{"name":"twitter:card","content":"summary_large_image"}],["$","meta","7",{"name":"twitter:title","content":"TTS Elevenlabs With Timing API | Segmind"}],["$","meta","8",{"name":"twitter:description","content":"Transforms text into emotionally expressive audio with unparalleled realism and versatility across languages."}],["$","meta","9",{"name":"twitter:image","content":"https://www.segmind.com/og/home.jpg"}],["$","link","10",{"rel":"shortcut icon","href":"/favicon.ico"}],["$","link","11",{"rel":"icon","href":"/favicon.ico","sizes":"any"}],["$","link","12",{"rel":"icon","href":"/favicon-48x48.png","type":"image/png","sizes":"48x48"}],["$","link","13",{"rel":"icon","href":"/favicon-192x192.png","type":"image/png","sizes":"192x192"}],["$","link","14",{"rel":"icon","href":"/favicon.svg","type":"image/svg+xml"}],["$","link","15",{"rel":"apple-touch-icon","href":"/favicon-48x48.png"}],["$","$L2c","16",{}]],"error":null,"digest":"$undefined"}
27:"$23:metadata"
2b:["$","$L8",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$La",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]
2d:T91a,{"@context":"https://schema.org","@type":"FAQPage","@id":"https://www.segmind.com/models/tts-elevenlabs-with-timestamps#faq","mainEntity":[{"@type":"Question","name":"Which model should I choose for my application?","acceptedAnswer":{"@type":"Answer","text":"Use Eleven v3 for premium emotional content across 70+ languages, Flash v2.5 for latency-critical real-time streaming, Multilingual v2 for stable long-form narration, and Turbo v2.5 when you need both quality and speed across 32 languages."}},{"@type":"Question","name":"How do I customize voice characteristics?","acceptedAnswer":{"@type":"Answer","text":"Adjust stability to control emotional variation, similarity_boost to match a reference voice, and style to exaggerate delivery. Enable use_speaker_boost to enhance voice clone accuracy. Combine parameters iteratively based on your quality requirements."}},{"@type":"Question","name":"What's the difference between stability and similarity boost?","acceptedAnswer":{"@type":"Answer","text":"Stability controls emotional range (low = expressive, high = consistent), while similarity_boost determines how closely the output matches the original Voice ID (high = accurate clone, low = more interpretation)."}},{"@type":"Question","name":"Can I generate the same audio output repeatedly?","acceptedAnswer":{"@type":"Answer","text":"Yes. Set a fixed seed value (any integer between 0 and 4,294,967,295) to ensure deterministic outputs. Use seed: 0 for randomization across API calls."}},{"@type":"Question","name":"What languages are supported?","acceptedAnswer":{"@type":"Answer","text":"The platform supports 30+ languages including English, Spanish, French, German, Italian, Portuguese, Polish, Hindi, Arabic, Chinese, Japanese, Korean, and more. Specify language using ISO 639-1 codes via language_code parameter, or leave empty for automatic detection."}},{"@type":"Question","name":"How does text normalization affect output?","acceptedAnswer":{"@type":"Answer","text":"Text normalization converts written formats (numbers, dates, abbreviations) into speakable text. Set apply_text_normalization: \"auto\" for smart handling, \"on\" to force normalization, or \"off\" to preserve text exactly as written. Enable apply_language_text_normalization for language-specific rules (currently optimized for Japanese)."}}]}1f:[["$","script",null,{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"{\"@context\":\"https://schema.org\",\"@type\":\"SoftwareApplication\",\"@id\":\"https://www.segmind.com/models/tts-elevenlabs-with-timestamps\",\"name\":\"TTS Elevenlabs With Timing\",\"description\":\"Transforms text into emotionally expressive audio with unparalleled realism and versatility across languages.\",\"url\":\"https://www.segmind.com/models/tts-elevenlabs-with-timestamps\",\"applicationCategory\":\"AI Model\",\"applicationSubCategory\":\"audioToText\",\"operatingSystem\":\"Any\",\"image\":\"https://segmind-resources.s3.amazonaws.com/output/tts-elevenlabs-with-timestamps-6025.png\",\"offers\":{\"@type\":\"Offer\",\"availability\":\"https://schema.org/InStock\",\"priceCurrency\":\"USD\",\"price\":\"0.040927139037433155\"},\"provider\":{\"@type\":\"Organization\",\"@id\":\"https://www.segmind.com/#organization\",\"name\":\"Segmind\",\"url\":\"https://www.segmind.com\",\"logo\":\"https://www.segmind.com/favicon.svg\"}}"}}],["$","script",null,{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"$2d"}}],"$L2e","$L2f"]
30:I[68382,["6693","static/chunks/fba4ba2d-460e04194f22506f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","3009","static/chunks/6a7d804d-a5cc510ceffe206f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7505","static/chunks/c02d83f4-5637599209ef9447.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","6541","static/chunks/fb4e7fc9-e31ad622f5fde25d.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9761","static/chunks/998e86a0-e112630ec4db17dc.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9509","static/chunks/9509-6125acd3006111c1.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4378","static/chunks/4378-3f82908971052aa9.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","5289","static/chunks/5289-131715863bbab062.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4094","static/chunks/4094-eaa6158623fe27ff.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4982","static/chunks/4982-a4b2ee93ffd82ffd.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1810","static/chunks/1810-cf4ca0391c1ddf2a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","6118","static/chunks/6118-7328b7d3f629a5ef.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","7979","static/chunks/7979-1799576a8e82a4f3.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","393","static/chunks/393-7cd2157fc3790475.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","3985","static/chunks/3985-1f9bcb95de313d61.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","2610","static/chunks/2610-c41f461a4ed7cf24.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4844","static/chunks/4844-011fe3465334e7d0.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9305","static/chunks/9305-0f5d0f2a661afddc.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","713","static/chunks/713-dcb3ca4f0233704d.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","3504","static/chunks/3504-ae9bc2dc93d2ef47.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1742","static/chunks/1742-0ea812562873537a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1172","static/chunks/1172-89020d82938322e4.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9919","static/chunks/9919-b585857c6e10fb85.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","9326","static/chunks/9326-103822841b140d80.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1885","static/chunks/1885-f206f5873f09b3e2.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","4077","static/chunks/4077-cba4e88bdb106467.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","5126","static/chunks/5126-bdde68ce894e4935.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","5642","static/chunks/5642-c80cb7ee6e914a6a.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1924","static/chunks/1924-8c4ee98e9b0dbf83.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","6372","static/chunks/6372-3e2880fc7d769d1f.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1289","static/chunks/1289-4fdf72847f7ef615.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","8382","static/chunks/8382-004a14550e3769cc.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x","1951","static/chunks/app/models/%5Broute%5D/page-c5fd4df0a8a5cab4.js?dpl=dpl_CPYCfxesaX7RKfJUQZpH2JDib41x"],"default",1]
2e:null
31:T1607,# ElevenLabs Text-to-Speech: Advanced AI Voice Generation

## What is ElevenLabs Text-to-Speech?

ElevenLabs Text-to-Speech (TTS) is a suite of advanced AI models that transform written text into highly realistic, emotionally expressive spoken audio. Unlike traditional TTS systems that sound robotic or flat, ElevenLabs uses deep learning to generate voices with natural prosody, emotion, and cultural nuance. The platform offers multiple model variants optimized for different use casesâ€”from Eleven v3's emotion-rich delivery across 70+ languages to Flash v2.5's ultra-low latency for real-time streaming applications.

These models adapt tone and inflection based on textual context, making them suitable for professional voiceovers, audiobook narration, interactive conversational agents, and multilingual content localization. Developers can control voice characteristics through parameters like stability, similarity boost, and style exaggeration to fine-tune output quality.

## Key Features

- **Multi-Model Architecture**: Choose from eight specialized models including Eleven v3 (70+ languages), Multilingual v2 (29 languages), Flash v2.5 (ultra-low latency), and Turbo v2.5 (32 languages with speed optimization)
- **Emotional Intelligence**: Models naturally interpret text sentiment and adjust tone, pitch, and pacing accordingly
- **Voice Cloning Support**: Use custom Voice IDs to replicate specific speakers with high fidelity
- **Multilingual Excellence**: Native support for 30+ languages with proper pronunciation and cultural intonation
- **Real-Time Streaming**: Flash and Turbo models deliver sub-300ms latency for live applications
- **Granular Control**: Adjust stability, similarity boost, style, speed, and speaker boost for precise voice tuning

## Best Use Cases

**Media Production**: Generate voiceovers for video content, podcasts, and documentary narration with professional-grade audio quality.

**Accessibility**: Convert written content into speech for visually impaired users or learning applications requiring audio formats.

**Gaming & Interactive Media**: Create dynamic NPC dialogue and character voices that respond contextually to player actions.

**E-Learning Platforms**: Produce multilingual course materials with consistent voice quality across languages.

**Customer Service**: Power conversational AI agents with natural-sounding voices for phone systems and chatbots.

**Audiobook Production**: Scale audiobook creation across genres and languages while maintaining narrative consistency and emotional depth.

## Prompt Tips and Output Quality

**Text Structure**: Use punctuation strategicallyâ€”commas add natural pauses, ellipses create suspense, and exclamation marks increase energy. Short phrases (under 500 characters) generate faster; longer text enables better contextual understanding.

**Parameter Optimization**:
- **Stability (0.0-1.0)**: Lower values (0.3-0.5) create expressive, emotional speech; higher values (0.7-1.0) produce consistent, stable narration
- **Similarity Boost (0.0-1.0)**: Set to 0.85+ for maximum voice clone accuracy; reduce to 0.5-0.7 for more variation
- **Style (0.0-1.0)**: Use 0.0-0.3 for natural delivery; increase to 0.7+ for dramatic, exaggerated performances
- **Speed (0.25-4.0)**: Default 1.0 is natural; 1.5+ for fast-paced content; 0.75 for deliberate, educational material

**Model Selection**: Use Eleven v3 for maximum emotional range and language support; Flash v2.5 for real-time chat applications; Multilingual v2 for long-form audiobooks; Turbo v2.5 when balancing quality and latency.

**Reproducibility**: Set a fixed `seed` value to generate identical audio outputs across API callsâ€”critical for A/B testing and iterative refinement.

## FAQs

**Which model should I choose for my application?**  
Use **Eleven v3** for premium emotional content across 70+ languages, **Flash v2.5** for latency-critical real-time streaming, **Multilingual v2** for stable long-form narration, and **Turbo v2.5** when you need both quality and speed across 32 languages.

**How do I customize voice characteristics?**  
Adjust `stability` to control emotional variation, `similarity_boost` to match a reference voice, and `style` to exaggerate delivery. Enable `use_speaker_boost` to enhance voice clone accuracy. Combine parameters iteratively based on your quality requirements.

**What's the difference between stability and similarity boost?**  
**Stability** controls emotional range (low = expressive, high = consistent), while **similarity_boost** determines how closely the output matches the original Voice ID (high = accurate clone, low = more interpretation).

**Can I generate the same audio output repeatedly?**  
Yes. Set a fixed `seed` value (any integer between 0 and 4,294,967,295) to ensure deterministic outputs. Use `seed: 0` for randomization across API calls.

**What languages are supported?**  
The platform supports 30+ languages including English, Spanish, French, German, Italian, Portuguese, Polish, Hindi, Arabic, Chinese, Japanese, Korean, and more. Specify language using ISO 639-1 codes via `language_code` parameter, or leave empty for automatic detection.

**How does text normalization affect output?**  
Text normalization converts written formats (numbers, dates, abbreviations) into speakable text. Set `apply_text_normalization: "auto"` for smart handling, `"on"` to force normalization, or `"off"` to preserve text exactly as written. Enable `apply_language_text_normalization` for language-specific rules (currently optimized for Japanese).32:T91d,# ElevenLabs Text-to-Speech: Effective Usage Guide

ElevenLabs Text-to-Speech (TTS) delivers natural, emotionally rich audio across 30+ languages. This guide helps you pick the right model and fine-tune parameters for common scenarios.

## 1. Model Selection
- **eleven_v3**: Best for premium narration with deep emotional range (70+ languages).  
- **eleven_multilingual_v2**: Ideal for long-form audiobooks and global content (29 languages).  
- **eleven_flash_v2_5**: Ultra-low latency (<300 ms) for real-time chatbots and streaming.  
- **eleven_turbo_v2_5**: Balanced quality and speed (32 languages) for interactive apps.

## 2. Core Parameters
Use these sliders in your API call:
- **stability (0.0â€“1.0)**:  
  â€¢ 0.3â€“0.5 for expressive, emotional reads  
  â€¢ 0.7â€“1.0 for consistent, steady narration  
- **similarity_boost (0.0â€“1.0)**:  
  â€¢ 0.85+ for voice cloning fidelity  
  â€¢ 0.5â€“0.7 for slight variation  
- **style (0.0â€“1.0)**:  
  â€¢ 0.0â€“0.3 for natural delivery  
  â€¢ 0.7+ for dramatic emphasis  
- **speed (0.25â€“4.0)**:  
  â€¢ 1.0 normal pace  
  â€¢ 1.5+ for fast-paced content  
  â€¢ 0.75 for clear, deliberate speech  

## 3. Use-Case Presets
1. **Audiobook Narration**  
   Model: eleven_multilingual_v2  
   stability: 0.8, style: 0.2, speed: 1.0  
2. **Podcast/Voiceover**  
   Model: eleven_v3  
   stability: 0.6, similarity_boost: 0.9, style: 0.4, speed: 1.1  
3. **Interactive Agent (Chatbot/Game NPC)**  
   Model: eleven_flash_v2_5  
   stability: 0.5, style: 0.3, speed: 1.3  
4. **E-Learning Modules**  
   Model: eleven_turbo_v2_5  
   stability: 0.9, style: 0.1, speed: 0.9  

## 4. Prompt Construction
- Keep sentences under 500 characters for fast turnaround.  
- Use punctuation for natural pauses: commas, ellipses, exclamation marks.  
- Insert SSML tags (e.g., `<break time="500ms"/>`) for precise silences.

## 5. Reproducibility & Normalization
- **Seed**: Set any integer (0 for random) to reproduce output across calls.  
- **apply_text_normalization**:  
  â€¢ `auto` for smart handling  
  â€¢ `on` to enforce  
  â€¢ `off` to preserve original text  

Tailor these settings iteratively to match your brand voice, emotional tone, and delivery speed. Enjoy lifelike, context-aware speech with ElevenLabs TTS!2f:["$","$L30",null,{"route":"tts-elevenlabs-with-timestamps","modelDetails":{"title":"TTS Elevenlabs With Timing","thumbnail_image":"https://segmind-resources.s3.amazonaws.com/output/tts-elevenlabs-with-timestamps-6025.png","type":"audioToText","model_type":"SEL","is_depreciated":false,"meta_description":"Transforms text into emotionally expressive audio with unparalleled realism and versatility across languages.","seo_description":"$31","guide":"$32","pricing_guide":null,"artifacts":"$1e:props:modelDetails:artifacts","default_image_output":"TTS Elevenlabs With Timing","default_response":null,"parameters":"$1e:props:modelDetails:parameters","endpoints":"$1e:props:modelDetails:endpoints","api_notes":"$1e:props:modelDetails:api_notes","model_outputs":null,"llm_capabilities":null,"license":"","github_link":null,"inference_provider":"ELEVENLABS","created_ts":"2025-11-11 11:44:04.622895+00:00","slug":"tts-elevenlabs-with-timestamps","name":"TTS Elevenlabs With Timing","description":"Emotionally expressive TTS with word-level timestamp output.","category":"audioToText","modality":"audio","input":"audio","output":"text","provider":"ELEVENLABS","thumbnail_url":"https://segmind-resources.s3.amazonaws.com/output/tts-elevenlabs-with-timestamps-6025.png","is_new":false,"coming_soon":false,"popularity_score":44,"category_percentile":86,"average_cost":0.040927139037433155,"latency_seconds":5.30835,"created_at":"2025-11-11 11:44:04.622895+00:00","parameters_schema":"$1e:props:modelDetails:parameters_schema"},"relatedTemplates":[],"popularModels":[{"slug":"elevenlabs-voice-design","title":"Elevenlabs Voice Design","description":"Generate unique synthetic voices without audio samples.","type":"audioToText","partner":"ELEVENLABS","thumbnail_image":"https://segmind-resources.s3.amazonaws.com/output/eleven-labs-voice-design-3159.png","default_image_output":"","is_new":false,"coming_soon":false,"is_visible":true,"segmind":true,"is_depreciated":false,"parameters":null,"latency":23.4654,"average_cost":0.01,"created_at":"2025-11-11 10:06:43.048230+00:00","popularity_score":39,"popularity_scale":"score","category_percentile":57},{"slug":"elevenlabs-voice-clone","title":"Elevenlabs Voice Cloning","description":"Hyper-realistic voice cloning from short audio samples.","type":"audioToText","partner":"ELEVENLABS","thumbnail_image":"https://segmind-resources.s3.amazonaws.com/output/eleven-labs-voice-clone-5599.png","default_image_output":"","is_new":false,"coming_soon":false,"is_visible":true,"segmind":true,"is_depreciated":false,"parameters":null,"latency":10.09124,"average_cost":0.010000000000000004,"created_at":"2025-11-11 10:06:15.912502+00:00","popularity_score":39,"popularity_scale":"score","category_percentile":71},{"slug":"elevenlabs-dialogue-with-timestamps","title":"Elevenlabs Dialogue With Timing","description":"Multi-speaker dialogue with expressive timestamps included.","type":"audioToText","partner":"ELEVENLABS","thumbnail_image":"https://segmind-resources.s3.amazonaws.com/output/eleven-labs-dialogue-with-timestamps-6927.png","default_image_output":"","is_new":false,"coming_soon":false,"is_visible":true,"segmind":true,"is_depreciated":false,"parameters":null,"latency":9.20671,"average_cost":0.05486785714285714,"created_at":"2025-11-11 10:07:25.249449+00:00","popularity_score":17,"popularity_scale":"score","category_percentile":14},{"slug":"eleven-labs-transcript","title":"Elevenlabs Transcript","description":"Transcribe audio to accurate text in 99 languages with speaker diarization and word-level timestamps.","type":"audioToText","partner":"ELEVENLABS","thumbnail_image":"https://segmind-resources.s3.amazonaws.com/output/eleven-labs-transcript-4354-compressed.png","default_image_output":"","is_new":false,"coming_soon":false,"is_visible":true,"segmind":true,"is_depreciated":false,"parameters":null,"latency":4.88742,"average_cost":0.005081432499999999,"created_at":"2025-03-12 16:02:33.141778+00:00","popularity_score":31,"popularity_scale":"score","category_percentile":43}]}]
