--- title: "openwhispr vs chatterbox-tts-api" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/openwhispr-openwhispr-vs-travisvn-chatterbox-tts-api" tools: ["openwhispr-openwhispr", "travisvn-chatterbox-tts-api"] --- # openwhispr vs chatterbox-tts-api *GraphCanon updated Aug 13, 2026* ## Verdict Pick openwhispr if openWhispr is an open-source voice-to-text dictation application that features both local and cloud-based models, emphasizing privacy and cross-platform compatibility; 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. [openwhispr](https://openwhispr.com) reports 5.0k GitHub stars, 715 forks, and 252 open issues, last pushed Jul 30, 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 [openwhispr's repository](https://github.com/OpenWhispr/openwhispr) and [chatterbox-tts-api's repository](https://github.com/travisvn/chatterbox-tts-api). | | [openwhispr](/tools/openwhispr-openwhispr.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Tagline | Voice-to-text dictation app with local and cloud models | Local OpenAI-compatible text-to-speech API using Chatterbox | | Stars | 5,018 | 666 | | Forks | 715 | 152 | | Open issues | 252 | 16 | | Language | JavaScript | Python | | Adopt for | OpenWhispr is an open-source voice-to-text dictation application that features both local and cloud-based models, emphasizing privacy and cross-platform compatibility. | 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 | MIT | Chatterbox-TTS-API is distributed under the AGPL-3.0 license, ensuring any modifications or derivative works must be shared openly. | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openwhispr](/tools/openwhispr-openwhispr.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 232d | | Open issues (now) | 252 | 16 | | Owner type | Organization | User | | Full report | [trust report](/tools/openwhispr-openwhispr/trust.md) | [trust report](/tools/travisvn-chatterbox-tts-api/trust.md) | ## Decision facts: openwhispr - **Requirements:** Min 4 GB RAM; Development and runtime environment requires Node.js version 24+.; Support for Nvidia Parakeet/Whisper models may require additional setup specific to the hardware and software configurations. - **Adopt for:** OpenWhispr is an open-source voice-to-text dictation application that features both local and cloud-based models, emphasizing privacy and cross-platform compatibility. ## 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 openwhispr if… - openwhispr is primarily JavaScript; chatterbox-tts-api is Python. - License: openwhispr is MIT, chatterbox-tts-api is AGPL-3.0. - Requirements: Min 4 GB RAM; Development and runtime environment requires Node.js version 24+.; Support for Nvidia Parakeet/Whisper models may require additional setup specific to the hardware and software configurations.. - Tags unique to openwhispr: anthropic, cross-platform, gemini, groq. - When you require the use of Nvidia Parakeet/Whisper models for high accuracy in a local environment without internet dependency. ### Choose chatterbox-tts-api if… - chatterbox-tts-api is primarily Python; openwhispr is JavaScript. - License: chatterbox-tts-api is AGPL-3.0, openwhispr is MIT. - Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment.. - Tags unique to chatterbox-tts-api: chatgpt, chatterbox, cuda, docker. - 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 openwhispr - When you have limited computational power on your device and rely heavily on cloud resources for processing voice-to-text without the overhead of managing local machine learning models. - If your application must work on platforms that are not supported by OpenWhispr, such as mobile devices or specialized operating systems. ## 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 openwhispr and chatterbox-tts-api? openwhispr: Voice-to-text dictation app with local and cloud models. 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 openwhispr over chatterbox-tts-api? Choose openwhispr over chatterbox-tts-api when openwhispr is primarily JavaScript; chatterbox-tts-api is Python; License: openwhispr is MIT, chatterbox-tts-api is AGPL-3.0; Requirements: Min 4 GB RAM; Development and runtime environment requires Node.js version 24+.; Support for Nvidia Parakeet/Whisper models may require additional setup specific to the hardware and software configurations.; Tags unique to openwhispr: anthropic, cross-platform, gemini, groq; When you require the use of Nvidia Parakeet/Whisper models for high accuracy in a local environment without internet dependency. ### When should I choose chatterbox-tts-api over openwhispr? Choose chatterbox-tts-api over openwhispr when chatterbox-tts-api is primarily Python; openwhispr is JavaScript; License: chatterbox-tts-api is AGPL-3.0, openwhispr is MIT; Requirements: Requires a local setup environment that supports CUDA for optimal performance; Docker can simplify deployment.; Tags unique to chatterbox-tts-api: chatgpt, chatterbox, cuda, docker; 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 openwhispr? When you have limited computational power on your device and rely heavily on cloud resources for processing voice-to-text without the overhead of managing local machine learning models. If your application must work on platforms that are not supported by OpenWhispr, such as mobile devices or specialized operating systems. ### 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 openwhispr or chatterbox-tts-api more popular on GitHub? openwhispr has more GitHub stars (5,018 vs 666). Stars measure visibility, not whether either tool fits your constraints. ### Are openwhispr and chatterbox-tts-api open source? Yes - both are open-source projects on GitHub (openwhispr: MIT, chatterbox-tts-api: AGPL-3.0). ### Where can I find alternatives to openwhispr or chatterbox-tts-api? GraphCanon lists graph-backed alternatives at [openwhispr alternatives](/tools/openwhispr-openwhispr/alternatives) and [chatterbox-tts-api alternatives](/tools/travisvn-chatterbox-tts-api/alternatives) ([openwhispr markdown twin](/tools/openwhispr-openwhispr/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/openwhispr-openwhispr-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, openwhispr or chatterbox-tts-api? openwhispr: Very active. 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 openwhispr and chatterbox-tts-api? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openwhispr trust report](/tools/openwhispr-openwhispr/trust); [chatterbox-tts-api trust report](/tools/travisvn-chatterbox-tts-api/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=openwhispr-openwhispr`](/api/graphcanon/graph?tool=openwhispr-openwhispr) - 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/_