--- title: "dograh vs chatterbox-tts-api" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dograh-hq-dograh-vs-travisvn-chatterbox-tts-api" tools: ["dograh-hq-dograh", "travisvn-chatterbox-tts-api"] --- # dograh vs chatterbox-tts-api *GraphCanon updated Aug 13, 2026* ## Verdict Pick dograh if self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support; 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. [dograh](https://app.dograh.com) reports 5.1k GitHub stars, 1.2k forks, and 20 open issues, last pushed Jul 29, 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 [dograh's repository](https://github.com/dograh-hq/dograh) and [chatterbox-tts-api's repository](https://github.com/travisvn/chatterbox-tts-api). | | [dograh](/tools/dograh-hq-dograh.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Tagline | Self-hosted open source voice AI platform | Local OpenAI-compatible text-to-speech API using Chatterbox | | Stars | 5,064 | 666 | | Forks | 1,185 | 152 | | Open issues | 20 | 16 | | Language | Python | Python | | Adopt for | Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support | 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 | Inference & Serving, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dograh](/tools/dograh-hq-dograh.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 232d | | Open issues (now) | 20 | 16 | | Owner type | Organization | User | | Full report | [trust report](/tools/dograh-hq-dograh/trust.md) | [trust report](/tools/travisvn-chatterbox-tts-api/trust.md) | ## Decision facts: dograh - **Adopt for:** Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support ## 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 dograh if… - License: dograh is BSD-2-Clause, chatterbox-tts-api is AGPL-3.0. - Tags unique to dograh: conversational-ai, local-llm, speech-to-text, telephony. - Also covers Inference & Serving. - You need on-premise deployment for better security or data control ### Choose chatterbox-tts-api if… - License: chatterbox-tts-api is AGPL-3.0, dograh 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 dograh - Seeking cloud-managed services without self-hosting capabilities - Need real-time collaboration with non-local models in the cloud - Preference is for tools under different licenses than BSD-2-Clause - Must integrate with platforms that lack native telephony support ## 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 dograh and chatterbox-tts-api? dograh: Self-hosted open source voice AI platform. 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 dograh over chatterbox-tts-api? Choose dograh over chatterbox-tts-api when License: dograh is BSD-2-Clause, chatterbox-tts-api is AGPL-3.0; Tags unique to dograh: conversational-ai, local-llm, speech-to-text, telephony; Also covers Inference & Serving; You need on-premise deployment for better security or data control. ### When should I choose chatterbox-tts-api over dograh? Choose chatterbox-tts-api over dograh when License: chatterbox-tts-api is AGPL-3.0, dograh 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 dograh? Seeking cloud-managed services without self-hosting capabilities Need real-time collaboration with non-local models in the cloud Preference is for tools under different licenses than BSD-2-Clause Must integrate with platforms that lack native telephony support ### 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 dograh or chatterbox-tts-api more popular on GitHub? dograh has more GitHub stars (5,064 vs 666). Stars measure visibility, not whether either tool fits your constraints. ### Are dograh and chatterbox-tts-api open source? Yes - both are open-source projects on GitHub (dograh: BSD-2-Clause, chatterbox-tts-api: AGPL-3.0). ### Where can I find alternatives to dograh or chatterbox-tts-api? GraphCanon lists graph-backed alternatives at [dograh alternatives](/tools/dograh-hq-dograh/alternatives) and [chatterbox-tts-api alternatives](/tools/travisvn-chatterbox-tts-api/alternatives) ([dograh markdown twin](/tools/dograh-hq-dograh/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/dograh-hq-dograh-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, dograh or chatterbox-tts-api? dograh: 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 dograh and chatterbox-tts-api? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dograh trust report](/tools/dograh-hq-dograh/trust); [chatterbox-tts-api trust report](/tools/travisvn-chatterbox-tts-api/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dograh-hq-dograh`](/api/graphcanon/graph?tool=dograh-hq-dograh) - 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/_