--- title: "ChatTTS vs openwhispr" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/2noise-chattts-vs-openwhispr-openwhispr" tools: ["2noise-chattts", "openwhispr-openwhispr"] --- # ChatTTS vs openwhispr *GraphCanon updated Jul 11, 2026* ## Verdict Pick ChatTTS when chatTTS is primarily Python; openwhispr is TypeScript; pick openwhispr when openwhispr is primarily TypeScript; ChatTTS is Python. [ChatTTS](https://2noise.com) reports 40k GitHub stars, 4.2k forks, and 63 open issues, last pushed Apr 10, 2026. [openwhispr](https://openwhispr.com) has 4.4k stars, 619 forks, and 260 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [ChatTTS's repository](https://github.com/2noise/ChatTTS) and [openwhispr's repository](https://github.com/OpenWhispr/openwhispr). | | [ChatTTS](/tools/2noise-chattts.md) | [openwhispr](/tools/openwhispr-openwhispr.md) | | --- | --- | --- | | Tagline | A generative speech model for daily dialogue | Voice-to-text dictation app with local (Nvidia Parakeet/Whisper) and cloud models (BYOK). Privacy-first and available cross-platform. | | Stars | 39,593 | 4,442 | | Forks | 4,249 | 619 | | Open issues | 63 | 260 | | Language | Python | TypeScript | | 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. | MIT | | Categories | AI Agents, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ChatTTS](/tools/2noise-chattts.md) | [openwhispr](/tools/openwhispr-openwhispr.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 91d | 0d | | Open issues (now) | 63 | 260 | | Full report | [trust report](/tools/2noise-chattts/trust.md) | [trust report](/tools/openwhispr-openwhispr/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; openwhispr is TypeScript. - License: ChatTTS is AGPL-3.0, openwhispr is MIT. - Requirements: Python-based implementation means that familiarity with Python is necessary for effective use.. - Tags unique to ChatTTS: agent, chatgpt, chattts, chinese-language. - 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 openwhispr if… - openwhispr is primarily TypeScript; ChatTTS is Python. - License: openwhispr is MIT, ChatTTS is AGPL-3.0. - Tags unique to openwhispr: ai, anthropic, cross-platform, gemini. ## 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. ## Common questions ### What is the difference between ChatTTS and openwhispr? ChatTTS: A generative speech model for daily dialogue. openwhispr: Voice-to-text dictation app with local (Nvidia Parakeet/Whisper) and cloud models (BYOK). Privacy-first and available cross-platform.. See the comparison table for live GitHub stats and shared categories. ### When should I choose ChatTTS over openwhispr? Choose ChatTTS over openwhispr when ChatTTS is primarily Python; openwhispr is TypeScript; License: ChatTTS is AGPL-3.0, openwhispr is MIT; Requirements: Python-based implementation means that familiarity with Python is necessary for effective use.; Tags unique to ChatTTS: agent, chatgpt, chattts, chinese-language; 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 openwhispr over ChatTTS? Choose openwhispr over ChatTTS when openwhispr is primarily TypeScript; ChatTTS is Python; License: openwhispr is MIT, ChatTTS is AGPL-3.0; Tags unique to openwhispr: ai, anthropic, cross-platform, gemini. ### 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. ### Is ChatTTS or openwhispr more popular on GitHub? ChatTTS has more GitHub stars (39,593 vs 4,442). Stars measure visibility, not whether either tool fits your constraints. ### Are ChatTTS and openwhispr open source? Yes - both are open-source projects on GitHub (ChatTTS: AGPL-3.0, openwhispr: MIT). ### Where can I find alternatives to ChatTTS or openwhispr? GraphCanon lists graph-backed alternatives at [ChatTTS alternatives](/tools/2noise-chattts/alternatives) and [openwhispr alternatives](/tools/openwhispr-openwhispr/alternatives) ([ChatTTS markdown twin](/tools/2noise-chattts/alternatives.md), [openwhispr markdown twin](/tools/openwhispr-openwhispr/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-openwhispr-openwhispr.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ChatTTS or openwhispr? ChatTTS: Slowing. openwhispr: Very active. 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 openwhispr? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatTTS trust report](/tools/2noise-chattts/trust); [openwhispr trust report](/tools/openwhispr-openwhispr/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/_