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Free Text to Audiobook
Turn long text into a downloadable MP3, fully private|4.9 (638)
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.
Free and provided as is, without warranty. Use at your own risk. Terms
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That privacy model makes it a strong fit for sensitive material such as unpublished writing, internal reports, client notes, or study material you would rather not hand to a cloud service.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.
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Who actually listens to their own text turned into audio
Commuters and people who exercise regularly convert a long article, a work document, or a saved reading-list piece into an MP3 specifically so reading time becomes drive time or gym time instead of competing with it. People with dyslexia or low vision use text-to-audio conversion as a genuine accessibility tool, listening to material that would otherwise take much longer or be considerably more effortful to read on a screen.
Language learners narrate text in a language they are studying and listen while following along on the page, a well-documented technique for building listening comprehension and pronunciation intuition alongside reading skill, and students converting dense study material into audio review it passively during a commute or a chore, reinforcing material without needing to sit and stare at a page a second time.
From robotic TTS to Kokoro: what changed
Text-to-speech used to mean concatenative synthesis: a system stitched together pre-recorded phoneme fragments from a real voice actor, which is why older screen readers and GPS voices had that unmistakable choppy, robotic cadence, the system was literally gluing sound clips together rather than generating speech. Neural TTS models like Kokoro instead generate the waveform directly from a learned model of how speech actually sounds, producing natural intonation, pacing, and emphasis that concatenative systems structurally could not achieve regardless of how much recorded audio they had.
What makes Kokoro specifically notable is doing this at only 82 million parameters, small enough to run in a browser tab on ordinary hardware, when many neural TTS systems achieving comparable quality require server-side GPUs. That efficiency is a direct product of recent research into more parameter-efficient TTS architectures, and it is exactly what makes a genuinely private, no-upload audiobook tool practical today in a way it simply was not a few years ago.
Getting a long narration right before committing to it
With nearly thirty voices to choose from, the fastest way to pick one is to narrate a short paragraph first, a page of introduction rather than an entire chapter, and listen for how it handles your specific text's rhythm and vocabulary before spending the processing time on the full piece. This matters more for technical or jargon-heavy material, where an unfamiliar term or acronym can read awkwardly, catching that on a short test run costs seconds; catching it after narrating a full chapter costs the time to redo it.
For a genuinely long piece, a full book manuscript or a lengthy report, narrating chapter by chapter rather than pasting the entire thing at once keeps each generation session shorter and makes it easy to isolate and re-run just the one section if a name or term needs fixing, rather than regenerating the whole thing over a single mispronunciation.
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
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.
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