--- title: "RealtimeTTS vs chatterbox-tts-api" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/koljab-realtimetts-vs-travisvn-chatterbox-tts-api" tools: ["koljab-realtimetts", "travisvn-chatterbox-tts-api"] --- # RealtimeTTS vs chatterbox-tts-api *GraphCanon updated Aug 13, 2026* ## Verdict Pick RealtimeTTS when license: RealtimeTTS is MIT, chatterbox-tts-api is AGPL-3.0; pick chatterbox-tts-api when license: chatterbox-tts-api is AGPL-3.0, RealtimeTTS is MIT. [RealtimeTTS](https://github.com/KoljaB/RealtimeTTS) reports 4.0k GitHub stars, 399 forks, and 125 open issues, last pushed May 31, 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 [RealtimeTTS's repository](https://github.com/KoljaB/RealtimeTTS) and [chatterbox-tts-api's repository](https://github.com/travisvn/chatterbox-tts-api). | | [RealtimeTTS](/tools/koljab-realtimetts.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Tagline | Converts text to speech in realtime | Local OpenAI-compatible text-to-speech API using Chatterbox | | Stars | 4,002 | 666 | | Forks | 399 | 152 | | Open issues | 125 | 16 | | Language | Python | Python | | 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. | | 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._ | | [RealtimeTTS](/tools/koljab-realtimetts.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 58d | 232d | | Open issues (now) | 125 | 16 | | Full report | [trust report](/tools/koljab-realtimetts/trust.md) | [trust report](/tools/travisvn-chatterbox-tts-api/trust.md) | ## Shared compatibility - **Python**: [RealtimeTTS](/tools/koljab-realtimetts.md) - Python runtime; [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) - Python runtime ## 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 RealtimeTTS if… - License: RealtimeTTS is MIT, chatterbox-tts-api is AGPL-3.0. - Tags unique to RealtimeTTS: python, realtime, speech-synthesis, text-to-speech. - Use RealtimeTTS when you need to integrate real-time text-to-speech capabilities into a Python application that requires immediate audio output without delays. ### Choose chatterbox-tts-api if… - License: chatterbox-tts-api is AGPL-3.0, RealtimeTTS is MIT. - 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 RealtimeTTS - Avoid using RealtimeTTS in scenarios where pre-recorded or highly customized voice outputs are crucial, given its focus on speed over customization options. - Do not use RealtimeTTS if heavy reliance on external cloud services is a requirement, since it emphasizes local execution for performance. ## 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 RealtimeTTS and chatterbox-tts-api? RealtimeTTS: Converts text to speech in realtime. 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 RealtimeTTS over chatterbox-tts-api? Choose RealtimeTTS over chatterbox-tts-api when License: RealtimeTTS is MIT, chatterbox-tts-api is AGPL-3.0; Tags unique to RealtimeTTS: python, realtime, speech-synthesis, text-to-speech; Use RealtimeTTS when you need to integrate real-time text-to-speech capabilities into a Python application that requires immediate audio output without delays. ### When should I choose chatterbox-tts-api over RealtimeTTS? Choose chatterbox-tts-api over RealtimeTTS when License: chatterbox-tts-api is AGPL-3.0, RealtimeTTS is MIT; 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 RealtimeTTS? Avoid using RealtimeTTS in scenarios where pre-recorded or highly customized voice outputs are crucial, given its focus on speed over customization options. Do not use RealtimeTTS if heavy reliance on external cloud services is a requirement, since it emphasizes local execution for performance. ### 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 RealtimeTTS or chatterbox-tts-api more popular on GitHub? RealtimeTTS has more GitHub stars (4,002 vs 666). Stars measure visibility, not whether either tool fits your constraints. ### Are RealtimeTTS and chatterbox-tts-api open source? Yes - both are open-source projects on GitHub (RealtimeTTS: MIT, chatterbox-tts-api: AGPL-3.0). ### Where can I find alternatives to RealtimeTTS or chatterbox-tts-api? GraphCanon lists graph-backed alternatives at [RealtimeTTS alternatives](/tools/koljab-realtimetts/alternatives) and [chatterbox-tts-api alternatives](/tools/travisvn-chatterbox-tts-api/alternatives) ([RealtimeTTS markdown twin](/tools/koljab-realtimetts/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/koljab-realtimetts-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, RealtimeTTS or chatterbox-tts-api? RealtimeTTS: Steady. 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 RealtimeTTS and chatterbox-tts-api? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [RealtimeTTS trust report](/tools/koljab-realtimetts/trust); [chatterbox-tts-api trust report](/tools/travisvn-chatterbox-tts-api/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=koljab-realtimetts`](/api/graphcanon/graph?tool=koljab-realtimetts) - 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/_