# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

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Resources for ML / AI or Writing / Content, Tagged `python`, `speech`: 4 items.

> - ML / AI: Model training, evaluation and LLM application development.
> - Writing / Content: Writing and editing articles, books, technical docs and social content.

- [FunASR](https://hebbmind.com/ko/cli/funasr.md): [CLI] Industrial-grade open-source speech recognition toolkit from Alibaba's ModelScope, with an agent-friendly funasr command that turns audio into text, JSON or SRT subtitles in one step, with speaker diarization and timestamps. Strong on Chinese. Requires PyTorch.
- [notebooklm-py](https://hebbmind.com/ko/cli/notebooklm-py.md): [CLI] Unofficial Python library and CLI for driving Google NotebookLM (now Gemini Notebook): bulk-import sources, ask cited questions, and generate and download podcasts, videos, slides, quizzes and flashcards. Ships an agent skill. Relies on undocumented APIs and needs a Google sign-in.
- [edge-tts](https://hebbmind.com/ko/cli/edge-tts.md): [CLI] Converts text to speech with Microsoft Edge's online TTS service and can generate subtitle files at the same time. No API key needed, with voices for many languages. Not an official Microsoft project and depends on that online service staying available.
- [MLX-Audio](https://hebbmind.com/ko/cli/mlx-audio.md): [CLI] Offline speech toolkit for Apple Silicon Macs: CLI text-to-speech (including Chinese and voice cloning) and speech-to-text, for voicing lessons and explainer videos or transcribing lectures and interviews, with data staying local. Needs an M-series Mac and Python 3.10+; MP3 export needs ffmpeg.