5 items
Convert EPUB, PDF, MD & TXT into MP3 audiobooks. Neural text-to-speech runs offline in your browser. 6 languages, free. book2voice turns your own books and text files into spoken audio(MP3)— locally, in your browser. Load an EPUB, PDF, MD or TXT (or paste text), pick a language, and it synthesizes natural-sounding speech chapter by chapter, saving a MP3 for each. **Features** - 🎧 High-quality neural speech, running in your browser via WebGPU with a WASM fallback — no cloud synthesis. - 🌍 Multilingual: English, Spanish, French, Italian, Portuguese (BR), and Hindi, with automatic language detection and a default voice per language. - 📚 EPUB, PDF, MD and TXT support, split into chapters automatically — every word is included. - 💾 Download audio per chapter with clean, human-readable filenames. - ⏯️ Long books are resumable: close the panel or the browser and pick up where you left off. - 🔒 Private by design: no accounts, no tracking, no analytics. Audio never leaves your device. Only the text needed for pronunciation is sent to a stateless service that stores and logs nothing (see privacy policy). **How it works** Speech is synthesized on your device. Pronunciation (text → phonemes) is computed by a small stateless server, then the audio is generated and stored locally. Model files are downloaded once from Hugging Face and cached. **Note:** Russian is not supported (the underlying model does not support it).
Aug 5, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.