mateogon / pdf-narrator
Convert your PDFs and EPUBs into audiobooks effortlessly. Features intelligent text extraction, customizable text-to-speech settings, and efficient processing for low-resource systems.
Why this job: says: text to speech; topics: text-to-speech, tts
What it does
- Desktop app. A library of your books and a four-step flow: check the text, pick a voice, create the audio, export.
- Local speech. Kokoro runs on the CPU, on an Apple GPU (MPS) or on an NVIDIA GPU (CUDA). The app selects the fastest one.
- Fast. On an Apple M-series GPU, the app creates audio about 10 to 13 times faster than real time.
- Clean text. The app skips covers, copyright pages, contents and Project Gutenberg license text. You can edit any chapter before you create audio.
- 54 voices in 9 languages. You hear each voice read a paragraph from your own book. Each voice shows its quality grade from Kokoro.
Get started
curl -LsSf https://astral.sh/uv/install.sh | sh uv run --no-default-groups --extra cuda pdf-narrator- Maintenance
- Active
- Last commit 15 days ago
- Stars
- 218
- +2 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 80% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 75% closed
- 3 still open
- Pull requests
- 4 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 80%
- JavaScript 14%
- CSS 5%
- HTML 1%
Topics
- audiobook
- audiobook-generator
- epub
- immersive-reading
- kokoro-tts
- low-resource
- pdf-audiobook
- pdf-extraction
- pdf-to-audiobook
- text-to-speech
- tts
Project record
- JobSpeech and audio
- StatusListed
- Commits62
- Forks38
- Watching3
- Stars in 28 days+6
- CreatedDec 15, 2024
- First seen by usNov 7, 2026
- CheckedNov 7, 2026