{"data":{"slug":"denizsafak-abogen","name":"abogen","tagline":"Generate audiobooks from EPUBs, PDFs and text with synchronized captions.","github_url":"https://github.com/denizsafak/abogen","owner":"denizsafak","repo":"abogen","owner_avatar_url":"https://avatars.githubusercontent.com/u/39929354?v=4","primary_language":"Python","stars":5173,"forks":378,"topics":["audiobook","audiobooks","content-creation","content-creator","ebook","epub","epub-converter","kokoro","kokoro-82m","kokoro-tts","llm","media-generation","narrator","speech-synthesis","subtitles","text-to-audio","text-to-speech","tts","voice-conversion","voice-synthesis"],"archived":false,"github_pushed_at":"2026-07-09T16:25:23+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/denizsafak-abogen","markdown_url":"https://www.graphcanon.com/tools/denizsafak-abogen.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/denizsafak-abogen","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=denizsafak-abogen","description":"Generate audiobooks from EPUBs, PDFs and text with synchronized captions.","homepage_url":"https://pypi.org/project/abogen/","license":"MIT","open_issues":50,"watchers":27,"ai_summary":null,"readme_excerpt":"## `How to install?` \"Abogen\n\n---\n\n# Install abogen\npip install abogen\n```\n\n\n\n---\n\n# Install espeak-ng\nbrew install espeak-ng\n\n---\n\n# After installing abogen, we need to install Kokoro's development version which includes MPS support.\npip3 install git+https://github.com/hexgrad/kokoro.git\n```\n\n\n\n---\n\n# Install espeak-ng\nsudo apt install espeak-ng # Ubuntu/Debian\nsudo pacman -S espeak-ng # Arch Linux\nsudo dnf install espeak-ng # Fedora\n\n---\n\n# Already supported, no need to install CUDA separately.\n\n---\n\n### Docker Compose (GPU by default)\nThe repo includes `docker-compose.yaml`, which targets GPU hosts out of the box. Install the NVIDIA Container Toolkit and run:\n\n```bash\ndocker compose up -d --build\n```\n\nKey build/runtime knobs:\n\n- `TORCH_VERSION` – pin a specific PyTorch release that matches your driver (leave blank for the latest on the configured index).\n- `TORCH_INDEX_URL` – swap out the PyTorch download index when targeting a different CUDA build.\n- `ABOGEN_DATA` – host path that stores uploads/outputs (defaults to `./data`).\n\nCPU-only deployment: comment out the `deploy.resources.reservations.devices` block (and the optional `runtime: nvidia` line) inside the compose file. Compose will then run without requesting a GPU. If you prefer the classic CLI:\n\n```bash\ndocker build -f abogen/Dockerfile -t abogen-gpu .\ndocker run --rm \\\n --gpus all \\\n -p 8808:8808 \\\n -v ~/abogen-data:/data \\\n abogen-gpu\n```\n\n---\n\n# 🇯🇵 'j' => Japanese: pip install misaki[ja]\n\n---\n\n# 🇨🇳 'z' => Mandarin Chinese: pip install misaki[zh]\n```\nFor a complete list of supported languages and voices, refer to Kokoro's [VOICES.md](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/VOICES.md). To listen to sample audio outputs, see [SAMPLES.md](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/SAMPLES.md).\n\n> See [How to fix Japanese audio not working?](#japanese-audio-not-working)\n\n---\n\n---\n\n## `License`\nThis project is available under the MIT License - see the [LICENSE](https://github.com/denizsafak/abogen/blob/main/LICENSE) file for details.\n[Kokoro](https://github.com/hexgrad/kokoro) is licensed under [Apache-2.0](https://github.com/hexgrad/kokoro/blob/main/LICENSE) which allows commercial use, modification, distribution, and private use.","github_created_at":"2025-04-24T01:06:05+00:00","created_at":"2026-07-11T12:06:33.146591+00:00","updated_at":"2026-07-11T12:06:45.934593+00:00","categories":[{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"}],"tags":[{"slug":"epub-converter","name":"epub-converter"},{"slug":"audiobook","name":"audiobook"},{"slug":"kokoro","name":"kokoro"},{"slug":"audiobooks","name":"audiobooks"},{"slug":"content-creator","name":"content-creator"},{"slug":"ebook","name":"ebook"},{"slug":"epub","name":"epub"},{"slug":"content-creation","name":"content-creation"}],"trust":{"provenance":{"is_fork":false,"github_id":971726597,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T12:06:33.778Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":0,"days_since_push":1,"last_release_at":"2026-02-06T21:04:50Z"},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T12:06:39.425Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T12:06:39.057Z"},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-07-11T12:06:39.057Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-07-11T12:06:39.057Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-07-11T12:06:39.057Z"}}}}