No description
ce811f7636
Introduce `normalizeToMp3` utility to convert wav/ogg audio buffers from TTS providers to mp3, ensuring consistent mp3-only handling in cache and pipelines. Add logic to detect and adapt to OpenAI-compatible servers that do not support explicit `response_format`, falling back to default output and normalizing as needed. Refactor voice resolution to probe multiple common endpoints and robustly extract voice/style names from various payload shapes, improving compatibility with custom OpenAI-compatible servers. - Add `audio-format.ts` for audio normalization utilities - Add tests for audio format normalization - Update TTS provider request logic to apply normalization and handle response format negotiation - Enhance voice endpoint probing and extraction logic for custom servers |
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| docker/entrypoint-migration-tools | ||
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| drizzle | ||
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| .env.example | ||
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| drizzle.config.pg.ts | ||
| drizzle.config.sqlite.ts | ||
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| eslint.config.mjs | ||
| LICENSE | ||
| next.config.ts | ||
| package.json | ||
| playwright.config.ts | ||
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| README.md | ||
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📄🔊 OpenReader
OpenReader is an open-source, self-host-friendly text-to-speech document reader built with Next.js for EPUB, PDF, TXT, MD, and DOCX with multilingual, synchronized read-along playback.
Previously named OpenReader-WebUI.
Get started in the docs.
✨ Highlights
- 🧱 Layout-aware PDF parsing with PP-DocLayoutV3 (ONNX) — structured block detection, cross-page stitching, and geometry-based highlighting for precise read-along sync.
- ⏱️ Word-by-word highlighting via ONNX Whisper alignment through the compute worker control plane (NATS JetStream-backed).
- ⚡ Segment-based read-along for EPUB, PDF, TXT, MD, and DOCX — sentence-aware TTS with cached audio segments, background preloading, and resumable playback.
- 🎯 Multi-provider TTS — self-hosted OpenAI-compatible servers (Kokoro-FastAPI, KittenTTS-FastAPI, Orpheus-FastAPI) or cloud APIs (OpenAI, Replicate, DeepInfra).
- 🌐 Multilingual support — choose a document language for language-aware narration and highlighting. Available languages depend on the configured TTS provider and voice.
- 🎧 Audiobook export in
m4b/mp3with resumable chapter processing. - 🗂️ Flexible backend — embedded SeaweedFS or S3-compatible storage, SQLite or Postgres, server library import, and device sync.
- 🐳 Self-host friendly — Docker (amd64/arm64), built-in auth/session support, and automatic startup migrations.
🚀 Start Here
| Goal | Link |
|---|---|
| Run with Docker | Docker Quick Start |
| Deploy on Vercel | Vercel Deployment |
| Deploy external compute worker | Compute Worker (NATS JetStream) |
| Develop locally | Local Development |
| Configure auth | Auth |
| Configure SQL database | Database and Migrations |
| Configure object storage | Object / Blob Storage |
| Configure TTS providers | TTS Providers |
| Run Kokoro locally | Kokoro-FastAPI |
| Run KittenTTS locally | KittenTTS-FastAPI |
| Get support or contribute | Support and Contributing |
🧭 Community
- Questions and ideas: GitHub Discussions
- Bug reports: GitHub Issues
- Contributions: open a pull request
📜 License
MIT. See LICENSE.