denizsafak/abogen
Generate audiobooks from EPUBs, PDFs and text with synchronized captions.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 264 days ago, with 22 contributors on GitHub.
Gained 38% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Generate high-quality audiobooks with synchronized captions from EPUB, PDF, or text files using natural-sounding text-to-speech synthesis.
- Offers fast processing with customizable voices, subtitle styles, and batch queue mode for efficient audiobook creation.
- Use for creating accessible audiobooks with chapter markers and metadata for personal or commercial distribution.
- Use for producing voiceovers with synchronized subtitles for social media content like Instagram, YouTube, or TikTok videos.
- Use for batch converting multiple eBooks or documents into audio files with custom voice profiles and output formats.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Abogen is a powerful text-to-speech conversion tool that makes it easy to turn ePub, PDF, or text files into high-quality audio with matching subtitles in seconds. Use it for audiobooks, voiceovers for Instagram, YouTube, TikTok, or any project that needs natural-sounding text-to-speech, using Kokoro-82M.
This demo was generated in just 5 seconds, producing ∼1 minute of audio with perfectly synced subtitles. To create a similar video, see the demo guide.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
494+92
Open issues
49+4
Compared with peers in LLM
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| NVIDIA/auto-ontology | 7.5K | +5.6K | 37 | — |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| affaan-m/ECC | 297.9K | +5.2K | 63 | 35 days ago |
| DietrichGebert/ponytail | 185.3K | +5.1K | 60 | 7 days ago |
| denizsafak/abogen | 6.2K | — | 31 | 264 days ago |
| Category median | 113.6K | +5.5K | 60 | — |
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