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Free Text to Audiobook
A free, private text to audiobook generator that turns long text into a single downloadable MP3 narration without sending a single word to any server. It is powered by Kokoro, an open-weight 82 million parameter text-to-speech model, run entirely in your browser through the kokoro-js library and WebAssembly. Paste an article, a book chapter, meeting notes, or study material, pick one of nearly thirty natural English voices, and the tool splits your text into sentence-sized chunks, narrates each one on your own device, concatenates the audio, and encodes it into one clean MP3 you can preview and download. Because every word is processed locally, your text is never uploaded, logged, or stored. The Kokoro model is roughly 300MB, downloads once on first use, is cached by your browser for instant reuse, and shares that cache with the text-to-speech tool on this site. Kokoro is released under the permissive Apache 2.0 license, and its voices are English-style, spanning American and British accents in both female and male options.
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Turn any text into a downloadable audiobook without uploading a word
Most text to speech and audiobook services upload your text to a server, run it through a hosted voice model, and stream the audio back, which means your content leaves your control and is often metered by the character or the minute. This free text to audiobook tool takes the opposite approach: the entire narration model runs inside your browser tab. Once the Kokoro model is downloaded, every sentence you paste is turned into audio on your own device, concatenated, and encoded into a single MP3 locally, so the article, chapter, or private note you convert never touches a server.
That privacy model makes it a strong fit for sensitive material such as unpublished writing, internal reports, client notes, or study material you would rather not hand to a cloud service. You get a clean, downloadable MP3 with the same privacy guarantees as an offline app, no signup, and no usage cap, and you can verify there is no upload by watching the Network tab in your browser DevTools while it narrates.
Powered by Kokoro, an open-weight 82M TTS model running in your browser
This tool is built on Kokoro (hexgrad/kokoro), an open-weight text-to-speech model with just 82 million parameters that punches well above its size, producing natural, human-sounding narration while staying small enough to run entirely client-side. It is loaded and run through kokoro-js, the JavaScript library for Kokoro, which executes the model with ONNX Runtime compiled to WebAssembly so it works on an ordinary CPU with no backend at all.
The model weights, roughly 300MB, download once from the Hugging Face Hub, are cached by your browser, and are shared with the text-to-speech tool on this site, so moving between the two does not trigger another download. Kokoro offers nearly thirty English-style voices across American and British accents in both female and male options, and it is released under the permissive Apache 2.0 license, the same license as the kokoro-js library.
How long text becomes one clean MP3, and tips for the best narration
Neural TTS models work best on short passages, so to narrate a full article or chapter the tool automatically splits your text into sentence-sized chunks of at most about 480 characters. It packs whole sentences together up to that limit and hard-splits any single sentence that runs longer, then narrates each chunk with Kokoro while showing chunk by chunk progress. When every chunk is done, it concatenates all the audio into one continuous track and encodes it as a single 128 kbps MP3 in the browser, so you end up with one file rather than a pile of clips.
For the smoothest result, paste well-punctuated prose: clear sentence endings give the chunker natural break points and keep the pacing even. Expand abbreviations, spell out symbols, and remove stray formatting if you want them read a specific way, since Kokoro reads the text literally. Longer inputs simply take longer because the work happens on your CPU, so for a very long book you can narrate a chapter at a time. Compared with paid services like ElevenLabs, which meters characters from around 5 dollars per month, or Speechify at about 139 dollars per year, this runs free and private on your own hardware, with the tradeoff that a compact open model will not match top-tier studio voices for every use case.
How It Works
Paste the article, chapter, or notes you want narrated, choose a voice, then click to download the Kokoro model into your browser once (about 300MB).
The tool splits your text into sentence-sized chunks, narrates each one locally on your device, and shows chunk-by-chunk progress as it goes.
All the chunks are concatenated and encoded into a single MP3 you can play in the built-in preview and download with one click.
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Key Features
Privacy & Trust
Use Cases
Limitations
- The first run downloads roughly 300MB of Kokoro model weights, which can take a few minutes on slower connections, though it is cached by your browser afterward
- Voices are English-style, spanning American and British accents, so other languages are not supported by this model
- Very long text is narrated chunk by chunk on your CPU via WebAssembly, so a full article or chapter takes time, and larger inputs take proportionally longer
- Kokoro reads the text literally, so expand abbreviations, symbols, and unusual formatting beforehand if you want them pronounced a specific way
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Frequently Asked Questions
Is this text to audiobook tool really free?
Yes, it is completely free with no signup, no account, and no usage limits. Because the Kokoro model runs on your own hardware through kokoro-js instead of a paid cloud API, there are no per-character or per-minute costs to pass on. You can convert as much text into audio as you want, as often as you want, without a credit card, an API key, or a rate limit. Paid narration services like ElevenLabs start around 5 dollars per month and meter you by characters, and audiobook apps like Speechify Premium run about 139 dollars per year, while this tool is free with no cap.
Is my text sent to a server when I generate an audiobook?
No. The entire narration process runs locally in your browser using kokoro-js and WebAssembly. After the model is downloaded once, every chunk of text is turned into audio on your own device with zero network requests carrying your content, and the MP3 is encoded on-device too. Your text is never uploaded, logged, stored, or seen by anyone, which makes this safe for confidential notes, drafts, and private documents that should not touch a cloud service. You can confirm this by opening the Network tab in your browser DevTools while you generate.
Which model does it use and how big is the download?
It uses Kokoro (hexgrad/kokoro), an open-weight 82 million parameter text-to-speech model, loaded through the kokoro-js library from the onnx-community/Kokoro-82M-v1.0-ONNX weights on the Hugging Face Hub. The model is roughly 300MB and downloads once on first use, then is cached by your browser so later audiobooks start without re-downloading. That cache is shared with the text-to-speech tool on this site, so if you have used that tool the model is already available here.
How does it handle very long text like a full article or chapter?
The tool automatically splits your text into sentence-sized chunks of at most about 480 characters, packing whole sentences together up to that limit and hard-splitting any single sentence that is longer. It narrates each chunk with Kokoro, shows chunk by chunk progress, then concatenates all the audio into one continuous track and encodes it as a single MP3. This means there is no practical length limit on the input beyond how long you are willing to let it run on your device.
What audio format do I get and can I use it anywhere?
You get a single MP3 file encoded at 128 kbps, which plays in every phone, browser, media player, and podcast app. The MP3 is created entirely in your browser using a WebAssembly encoder, so nothing is uploaded to produce it. You can preview it in the built-in player, check the total duration and file size, and download it with one click to keep, sync to a device, or add to your own library.
How does this compare to ElevenLabs, Speechify, or Audible?
ElevenLabs and Speechify are paid text-to-speech and audiobook services: ElevenLabs meters you by characters with plans starting around 5 dollars per month, and Speechify Premium is about 139 dollars per year, both processing your text on their servers. Audible sells professionally recorded audiobooks by subscription, around 15 dollars per month. This tool is different in three ways: it is free with no limits, it runs entirely on your device so your text stays private, and it works on any text you paste rather than a fixed catalog. The tradeoff is that Kokoro is a compact open model, so studio narration and multilingual coverage from paid services can still sound more polished.
Which voices are available?
There are nearly thirty voices, all English-style, spanning American and British accents in both female and male options. The default is Heart, an American female voice tuned for the best overall quality. You can switch voices from the dropdown before generating, and if a particular voice fails to load for any reason, the tool automatically falls back to Heart and continues so a single bad voice never blocks the whole audiobook.
Does it work offline and on mobile?
Once the Kokoro model has been downloaded and cached, narration runs without an internet connection because everything happens on-device. It also works on mobile browsers that support WebAssembly, though phones and tablets are slower than a laptop or desktop, and the first 300MB download uses mobile data. For the smoothest experience, load the model once over Wi-Fi on a device with a bit of memory to spare, then generate audiobooks freely afterward.
Why is the first audiobook slower than the ones after it?
The first generation includes the one-time model download and the initialization of the WebAssembly runtime. After the roughly 300MB of weights are cached in your browser and the model is warmed up, later audiobooks skip the download entirely and start narrating immediately. Overall speed still depends on your device CPU and on how much text you paste, since the model runs locally on WebAssembly rather than on a remote GPU in the cloud.
Do I need to install anything?
No installation is needed. It is a pure web tool that runs in any modern browser. The only thing that downloads is the Kokoro model itself, which kokoro-js fetches from the Hugging Face Hub on first use and caches in your browser. There is no extension, no desktop app, and no Python or Node environment to set up.
Can I use the generated audiobooks commercially?
Kokoro is released under the Apache 2.0 license, a permissive open-source license, and the audio it generates is not restricted by the tool itself. As always, make sure you have the rights to the underlying text you are narrating, since converting copyrighted material to audio does not grant you distribution rights to that content. For your own writing, notes, or public-domain and openly licensed text, you are free to keep, share, or publish the resulting MP3.
Is the narration good enough for a real audiobook?
Kokoro produces natural, clearly intelligible narration that is well suited to personal listening, article-to-audio, study material, and accessibility. For a compact 82 million parameter model running in the browser, the quality is strong and it reads long prose smoothly. For a commercial, professionally produced audiobook you would still typically use a studio recording or a top-tier paid voice, but for turning your own reading list into audio on demand, at no cost and with full privacy, it is more than capable.
How is this different from my phone or operating system read-aloud feature?
Built-in read-aloud features narrate on the fly and usually cannot export a file, so you cannot easily save, share, or sync the audio. This tool produces a single downloadable MP3 you own, splits long text cleanly on sentence boundaries for smoother pacing, and uses the Kokoro neural voice which generally sounds more natural than the classic system speech engines. It also keeps everything in the browser with no account, so it works the same across devices without platform lock-in.