--- title: "whisper-diarization vs chatterbox-tts-api" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mahmoudashraf97-whisper-diarization-vs-travisvn-chatterbox-tts-api" tools: ["mahmoudashraf97-whisper-diarization", "travisvn-chatterbox-tts-api"] --- # whisper-diarization vs chatterbox-tts-api *GraphCanon updated Aug 13, 2026* ## Verdict Pick whisper-diarization if automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects; pick chatterbox-tts-api if chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech. [whisper-diarization](https://github.com/MahmoudAshraf97/whisper-diarization) reports 5.6k GitHub stars, 503 forks, and 41 open issues, last pushed Feb 23, 2026. [chatterbox-tts-api](https://chatterboxtts.com) has 666 stars, 152 forks, and 16 open issues, last pushed Dec 23, 2025. Figures are from public GitHub metadata via [whisper-diarization's repository](https://github.com/MahmoudAshraf97/whisper-diarization) and [chatterbox-tts-api's repository](https://github.com/travisvn/chatterbox-tts-api). | | [whisper-diarization](/tools/mahmoudashraf97-whisper-diarization.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Tagline | Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper | Local OpenAI-compatible text-to-speech API using Chatterbox | | Stars | 5,615 | 666 | | Forks | 503 | 152 | | Open issues | 41 | 16 | | Language | Jupyter Notebook | Python | | Adopt for | Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects | Chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech. | | Persona | - | - | | Runtime | - | - | | License | BSD-2-Clause | Chatterbox-TTS-API is distributed under the AGPL-3.0 license, ensuring any modifications or derivative works must be shared openly. | | Categories | Developer Tools, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [whisper-diarization](/tools/mahmoudashraf97-whisper-diarization.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Days since push | 156d | 232d | | Open issues (now) | 41 | 16 | | Full report | [trust report](/tools/mahmoudashraf97-whisper-diarization/trust.md) | [trust report](/tools/travisvn-chatterbox-tts-api/trust.md) | ## Shared compatibility - **Python**: [whisper-diarization](/tools/mahmoudashraf97-whisper-diarization.md) - Python runtime; [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) - Python runtime ## Decision facts: whisper-diarization - **Adopt for:** Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects - **License detail:** BSD-2-Clause ## Decision facts: chatterbox-tts-api - **Requirements:** Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment. - **Adopt for:** Chatterbox-TTS-API is a locally hosted Python-based text-to-speech API with capabilities similar to ElevenLabs, offering an OpenAI-compatible interface for generating voice-cloned speech. - **License detail:** Chatterbox-TTS-API is distributed under the AGPL-3.0 license, ensuring any modifications or derivative works must be shared openly. ## Choose when ### Choose whisper-diarization if… - whisper-diarization is primarily Jupyter Notebook; chatterbox-tts-api is Python. - License: whisper-diarization is BSD-2-Clause, chatterbox-tts-api is AGPL-3.0. - Tags unique to whisper-diarization: asr, speaker-diarization, speech-recognition, whisper. - Also covers Developer Tools. - You need advanced speech recognition capabilities paired with speaker diarization in your Python project. ### Choose chatterbox-tts-api if… - chatterbox-tts-api is primarily Python; whisper-diarization is Jupyter Notebook. - License: chatterbox-tts-api is AGPL-3.0, whisper-diarization is BSD-2-Clause. - Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment.. - Tags unique to chatterbox-tts-api: ai, chatgpt, chatterbox, cuda. - When you need a self-hosted solution that mirrors the functionality of ElevenLabs or other proprietary TTS services and requires compatibility with existing ecosystems like Open WebUI or AnythingLLM. ## When NOT to use whisper-diarization - If your project is restricted to use only open-source tools under the MIT license, as whisper-diarization uses the BSD-2-Clause license. - Your environment cannot support Python 3.10 or later or you lack prerequisites such as Cython and FFMPEG installation rights. ## When NOT to use chatterbox-tts-api - If you require integrations specific to ElevenLabs' proprietary voice models as Chatterbox-TTS-API, despite its capabilities, does not directly support their unique voice libraries. - For users needing a fully managed service without the complexities of local deployment and maintenance, like that offered by cloud-based TTS providers. ## Common questions ### What is the difference between whisper-diarization and chatterbox-tts-api? whisper-diarization: Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper. chatterbox-tts-api: Local OpenAI-compatible text-to-speech API using Chatterbox. See the comparison table for live GitHub stats and shared categories. ### When should I choose whisper-diarization over chatterbox-tts-api? Choose whisper-diarization over chatterbox-tts-api when whisper-diarization is primarily Jupyter Notebook; chatterbox-tts-api is Python; License: whisper-diarization is BSD-2-Clause, chatterbox-tts-api is AGPL-3.0; Tags unique to whisper-diarization: asr, speaker-diarization, speech-recognition, whisper; Also covers Developer Tools; You need advanced speech recognition capabilities paired with speaker diarization in your Python project. ### When should I choose chatterbox-tts-api over whisper-diarization? Choose chatterbox-tts-api over whisper-diarization when chatterbox-tts-api is primarily Python; whisper-diarization is Jupyter Notebook; License: chatterbox-tts-api is AGPL-3.0, whisper-diarization is BSD-2-Clause; Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment.; Tags unique to chatterbox-tts-api: ai, chatgpt, chatterbox, cuda; When you need a self-hosted solution that mirrors the functionality of ElevenLabs or other proprietary TTS services and requires compatibility with existing ecosystems like Open WebUI or AnythingLLM. ### When should I avoid whisper-diarization? If your project is restricted to use only open-source tools under the MIT license, as whisper-diarization uses the BSD-2-Clause license. Your environment cannot support Python 3.10 or later or you lack prerequisites such as Cython and FFMPEG installation rights. ### When should I avoid chatterbox-tts-api? If you require integrations specific to ElevenLabs' proprietary voice models as Chatterbox-TTS-API, despite its capabilities, does not directly support their unique voice libraries. For users needing a fully managed service without the complexities of local deployment and maintenance, like that offered by cloud-based TTS providers. ### Is whisper-diarization or chatterbox-tts-api more popular on GitHub? whisper-diarization has more GitHub stars (5,615 vs 666). Stars measure visibility, not whether either tool fits your constraints. ### Are whisper-diarization and chatterbox-tts-api open source? Yes - both are open-source projects on GitHub (whisper-diarization: BSD-2-Clause, chatterbox-tts-api: AGPL-3.0). ### Where can I find alternatives to whisper-diarization or chatterbox-tts-api? GraphCanon lists graph-backed alternatives at [whisper-diarization alternatives](/tools/mahmoudashraf97-whisper-diarization/alternatives) and [chatterbox-tts-api alternatives](/tools/travisvn-chatterbox-tts-api/alternatives) ([whisper-diarization markdown twin](/tools/mahmoudashraf97-whisper-diarization/alternatives.md), [chatterbox-tts-api markdown twin](/tools/travisvn-chatterbox-tts-api/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/mahmoudashraf97-whisper-diarization-vs-travisvn-chatterbox-tts-api.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, whisper-diarization or chatterbox-tts-api? whisper-diarization: Slowing. chatterbox-tts-api: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for whisper-diarization and chatterbox-tts-api? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [whisper-diarization trust report](/tools/mahmoudashraf97-whisper-diarization/trust); [chatterbox-tts-api trust report](/tools/travisvn-chatterbox-tts-api/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mahmoudashraf97-whisper-diarization`](/api/graphcanon/graph?tool=mahmoudashraf97-whisper-diarization) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_