--- title: "ChatTTS vs whisper-diarization" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/2noise-chattts-vs-mahmoudashraf97-whisper-diarization" tools: ["2noise-chattts", "mahmoudashraf97-whisper-diarization"] --- # ChatTTS vs whisper-diarization *GraphCanon updated Jul 11, 2026* ## Verdict Pick ChatTTS when chatTTS is primarily Python; whisper-diarization is Jupyter Notebook; pick whisper-diarization when whisper-diarization is primarily Jupyter Notebook; ChatTTS is Python. [ChatTTS](https://2noise.com) reports 40k GitHub stars, 4.2k forks, and 63 open issues, last pushed Apr 10, 2026. [whisper-diarization](https://github.com/MahmoudAshraf97/whisper-diarization) has 5.6k stars, 501 forks, and 41 open issues, last pushed Feb 23, 2026. Figures are from public GitHub metadata via [ChatTTS's repository](https://github.com/2noise/ChatTTS) and [whisper-diarization's repository](https://github.com/MahmoudAshraf97/whisper-diarization). | | [ChatTTS](/tools/2noise-chattts.md) | [whisper-diarization](/tools/mahmoudashraf97-whisper-diarization.md) | | --- | --- | --- | | Tagline | A generative speech model for daily dialogue | Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper | | Stars | 39,593 | 5,594 | | Forks | 4,249 | 501 | | Open issues | 63 | 41 | | Language | Python | Jupyter Notebook | | Adopt for | ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English. | - | | Persona | - | - | | Runtime | - | - | | License | Licensed under AGPL-3.0, which allows for free use, distribution, and modification as long as these rights are maintained in derivative works. | BSD-2-Clause | | Categories | AI Agents, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ChatTTS](/tools/2noise-chattts.md) | [whisper-diarization](/tools/mahmoudashraf97-whisper-diarization.md) | | --- | --- | --- | | Days since push | 91d | 137d | | Open issues (now) | 63 | 41 | | Owner type | Organization | User | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/2noise-chattts/trust.md) | [trust report](/tools/mahmoudashraf97-whisper-diarization/trust.md) | ## Decision facts: ChatTTS - **Hosting:** unknown - **Requirements:** Python-based implementation means that familiarity with Python is necessary for effective use. - **Adopt for:** ChatTTS is a Python-based repository for generating speech tailored to everyday conversations in both Chinese and English. - **License detail:** Licensed under AGPL-3.0, which allows for free use, distribution, and modification as long as these rights are maintained in derivative works. ## Choose when ### Choose ChatTTS if… - ChatTTS is primarily Python; whisper-diarization is Jupyter Notebook. - License: ChatTTS is AGPL-3.0, whisper-diarization is BSD-2-Clause. - Requirements: Python-based implementation means that familiarity with Python is necessary for effective use.. - Tags unique to ChatTTS: natural-language-inference, torch, english-language, chattts. - Also covers AI Agents. - Use ChatTTS when you require text-to-speech functionality for daily dialogue applications, especially those involving Chinese or English languages. ### Choose whisper-diarization if… - whisper-diarization is primarily Jupyter Notebook; ChatTTS is Python. - License: whisper-diarization is BSD-2-Clause, ChatTTS is AGPL-3.0. - Tags unique to whisper-diarization: speaker-diarization, asr, speech, speech-to-text. ## When NOT to use ChatTTS - Avoid using ChatTTS in environments where the speech generation model is expected to handle complex technical jargon or specialized vocabulary, as it's optimized for daily conversation. - Do not use ChatTTS if your project requires the integration of more than two languages simultaneously due to its current support for only Chinese and English. ## When NOT to use whisper-diarization - Last GitHub push was 138 days ago (slowing maintenance, Feb 23, 2026). Validate activity before betting a new project on whisper-diarization. ## Common questions ### What is the difference between ChatTTS and whisper-diarization? ChatTTS: A generative speech model for daily dialogue. whisper-diarization: Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper. See the comparison table for live GitHub stats and shared categories. ### When should I choose ChatTTS over whisper-diarization? Choose ChatTTS over whisper-diarization when ChatTTS is primarily Python; whisper-diarization is Jupyter Notebook; License: ChatTTS is AGPL-3.0, whisper-diarization is BSD-2-Clause; Requirements: Python-based implementation means that familiarity with Python is necessary for effective use.; Tags unique to ChatTTS: natural-language-inference, torch, english-language, chattts; Also covers AI Agents; Use ChatTTS when you require text-to-speech functionality for daily dialogue applications, especially those involving Chinese or English languages. ### When should I choose whisper-diarization over ChatTTS? Choose whisper-diarization over ChatTTS when whisper-diarization is primarily Jupyter Notebook; ChatTTS is Python; License: whisper-diarization is BSD-2-Clause, ChatTTS is AGPL-3.0; Tags unique to whisper-diarization: speaker-diarization, asr, speech, speech-to-text. ### When should I avoid ChatTTS? Avoid using ChatTTS in environments where the speech generation model is expected to handle complex technical jargon or specialized vocabulary, as it's optimized for daily conversation. Do not use ChatTTS if your project requires the integration of more than two languages simultaneously due to its current support for only Chinese and English. ### When should I avoid whisper-diarization? Last GitHub push was 138 days ago (slowing maintenance, Feb 23, 2026). Validate activity before betting a new project on whisper-diarization. ### Is ChatTTS or whisper-diarization more popular on GitHub? ChatTTS has more GitHub stars (39,593 vs 5,594). Stars measure visibility, not whether either tool fits your constraints. ### Are ChatTTS and whisper-diarization open source? Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, whisper-diarization: BSD-2-Clause). ### Where can I find alternatives to ChatTTS or whisper-diarization? GraphCanon lists graph-backed alternatives at [ChatTTS alternatives](/tools/2noise-chattts/alternatives) and [whisper-diarization alternatives](/tools/mahmoudashraf97-whisper-diarization/alternatives) ([ChatTTS markdown twin](/tools/2noise-chattts/alternatives.md), [whisper-diarization markdown twin](/tools/mahmoudashraf97-whisper-diarization/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/2noise-chattts-vs-mahmoudashraf97-whisper-diarization.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ChatTTS or whisper-diarization? ChatTTS: Slowing. whisper-diarization: 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 ChatTTS and whisper-diarization? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatTTS trust report](/tools/2noise-chattts/trust); [whisper-diarization trust report](/tools/mahmoudashraf97-whisper-diarization/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=2noise-chattts`](/api/graphcanon/graph?tool=2noise-chattts) - 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/_