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Audio Tool
Text to Speech

Three voice models are available, and they work in genuinely different ways. Fast and Balanced first turn your text into phonemes. The actual sounds, with stress marks and clause breaks, which is what makes "read" in "I read it" come out right. Using espeak-ng compiled to run here; a neural voice then turns those phonemes into a waveform. Fast uses Piper voices, one per language. Balanced uses KittenTTS, which is smaller yet clearer in English, and speaks English only. Ultra skips phonemes entirely: Supertonic reads the letters themselves through an index table published with the model, which is how one set of weights covers twenty-four languages, and it sounds the most natural of the three. All of them run on your device, which is why the first run pauses to fetch the model and later ones do not. Punctuation matters more than people expect: commas and full stops are real inputs to every one of these models, so text punctuated the way you would read it aloud sounds noticeably better than a wall of words.

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Text to Speech: Free Natural Voice Generator

Read any text aloud in a natural voice: three voice models, 24 languages, running on your device. Download as WAV, MP3 or M4A.

Three voice models are available, and they work in genuinely different ways. Fast and Balanced first turn your text into phonemes, the actual sounds, with stress marks and clause breaks, which is what makes "read" in "I read it" come out right, using espeak-ng compiled to run here; a neural voice then turns those phonemes into a waveform. Fast uses Piper voices, one per language. Balanced uses KittenTTS, which is smaller yet clearer in English, and speaks English only. Ultra skips phonemes entirely: Supertonic reads the letters themselves through an index table published with the model, which is how one set of weights covers twenty-four languages, and it sounds the most natural of the three. All of them run on your device, which is why the first run pauses to fetch the model and later ones do not. Punctuation matters more than people expect: commas and full stops are real inputs to every one of these models, so text punctuated the way you would read it aloud sounds noticeably better than a wall of words.

How to Use It

  1. Upload your audio file and wait for the local preview to load.
  2. Adjust the settings: Paste or type the text, pick the voice that matches its language, set the speaking rate, then generate the speech.
  3. Download the result: Download the processed file directly to your device.

Controls and Options

Match the voice to the language of your text. An English voice reading Turkish mispronounces it. Lower the rate for narration and raise it for quick previews. Punctuation is an input to the model, so commas and full stops shape the phrasing.

Formats and Output

Takes plain text up to 5000 characters and exports the spoken result as a 22.05 kHz WAV file.

Frequently Asked Questions

Which languages can it speak?

It depends on the model. Fast reads English and Turkish, Balanced reads English only, and Ultra reads twenty-four languages: Arabic, Croatian, Czech, Danish, Dutch, English, Finnish, French, German, Greek, Hungarian, Indonesian, Italian, Japanese, Korean, Polish, Portuguese, Romanian, Russian, Slovenian, Spanish, Swedish, Turkish and Vietnamese. The Ultra model's own release lists thirty-one; the other seven were left out after testing. Five read materially less accurately than the rest, Ukrainian came out with Russian pronunciation across every speaker, and Hindi could not be checked reliably enough to offer. Choosing Turkish under Balanced generates the Ultra voice instead and tells you it did. The language you pick and the language you wrote in still have to match, because the model is told which language it is reading.

What is the difference between Fast, Balanced and Ultra?

They are three different neural voice models, not three settings on one. Fast is a Piper voice per language, 63 MB, and the established choice. Balanced is KittenTTS at 27 MB. The smallest download and the clearest English of the three, but English only. Ultra is Supertonic at 137 MB, the most natural sounding and the slowest, and it reads both languages from one model. Balanced and Ultra also offer a choice of speaker.

Why does the first run take longer?

The selected model downloads once per session before the first sentence is spoken: 27 MB for Balanced, 63 MB for Fast, 137 MB for Ultra. After that, generating more speech with the same model does not download anything; switching models or languages fetches what that combination needs.

How natural does it sound?

These are neural voices, so intonation and rhythm follow the sentence rather than a fixed cadence. They are compact models built to run in a browser tab, not studio recordings. Long paragraphs and unusual proper nouns are where the seams show.

How are numbers and amounts read?

In English and Turkish they are written out in full before the voice sees them, so 12.50 dollars is spoken as words. In the other languages the digits are passed through, which works better than it sounds: the model reads them in the language it was told to read, not in English. Money is the exception everywhere, so amounts are split around their unit before synthesis. If a number matters and the language is not English or Turkish, writing it out in words yourself takes the question off the table.

Does punctuation change the result?

Yes, more than you might expect. Commas, colons and full stops are inputs to the model and control pauses and phrasing, so punctuating the way you would read the text aloud improves the output.

How much text can I convert at once?

Up to 5000 characters per run. The text is split into sentence-sized pieces, synthesized one at a time and joined with a short gap, so longer passages mostly cost time rather than quality.

Can I use the audio anywhere?

The output downloads as WAV, MP3 or M4A, whichever you pick. The voices were trained on published speech corpora whose terms are recorded in the shipped license notes for this tool; review those before publishing generated speech.

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