--- title: "sherpa-onnx vs chatterbox-tts-api" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/k2-fsa-sherpa-onnx-vs-travisvn-chatterbox-tts-api" tools: ["k2-fsa-sherpa-onnx", "travisvn-chatterbox-tts-api"] --- # sherpa-onnx vs chatterbox-tts-api *GraphCanon updated Aug 13, 2026* ## Verdict Pick sherpa-onnx if sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages; 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. [sherpa-onnx](https://k2-fsa.github.io/sherpa/onnx/index.html) reports 14k GitHub stars, 1.6k forks, and 617 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 [sherpa-onnx's repository](https://github.com/k2-fsa/sherpa-onnx) and [chatterbox-tts-api's repository](https://github.com/travisvn/chatterbox-tts-api). | | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Tagline | Speech-to-text and related audio processing tools using ONNX with cross-platform support | Local OpenAI-compatible text-to-speech API using Chatterbox | | Stars | 13,842 | 666 | | Forks | 1,596 | 152 | | Open issues | 617 | 16 | | Language | C++ | Python | | Adopt for | sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages. | 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 | Apache-2.0 | 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._ | | [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 232d | | Open issues (now) | 617 | 16 | | Owner type | Organization | User | | Full report | [trust report](/tools/k2-fsa-sherpa-onnx/trust.md) | [trust report](/tools/travisvn-chatterbox-tts-api/trust.md) | ## Shared compatibility - **Python**: [sherpa-onnx](/tools/k2-fsa-sherpa-onnx.md) - Python runtime; [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) - Python runtime ## Decision facts: sherpa-onnx - **Adopt for:** sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages. ## 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 sherpa-onnx if… - sherpa-onnx is primarily C++; chatterbox-tts-api is Python. - License: sherpa-onnx is Apache-2.0, chatterbox-tts-api is AGPL-3.0. - Tags unique to sherpa-onnx: aarch64, android, arm32, asr. - When you need to deploy speech recognition or synthesis on platforms such as Raspberry Pi, RISC-V, and with NPUs like Rockchip, Axera, Ascend ### Choose chatterbox-tts-api if… - chatterbox-tts-api is primarily Python; sherpa-onnx is C++. - License: chatterbox-tts-api is AGPL-3.0, sherpa-onnx is Apache-2.0. - 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 sherpa-onnx - If your project strictly requires real-time web service interaction or server-based speech-to-text solutions - When the target environment lacks support for ONNX runtime and specific NPUs integrated within sherpa-onnx ## 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 sherpa-onnx and chatterbox-tts-api? sherpa-onnx: Speech-to-text and related audio processing tools using ONNX with cross-platform support. 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 sherpa-onnx over chatterbox-tts-api? Choose sherpa-onnx over chatterbox-tts-api when sherpa-onnx is primarily C++; chatterbox-tts-api is Python; License: sherpa-onnx is Apache-2.0, chatterbox-tts-api is AGPL-3.0; Tags unique to sherpa-onnx: aarch64, android, arm32, asr; When you need to deploy speech recognition or synthesis on platforms such as Raspberry Pi, RISC-V, and with NPUs like Rockchip, Axera, Ascend. ### When should I choose chatterbox-tts-api over sherpa-onnx? Choose chatterbox-tts-api over sherpa-onnx when chatterbox-tts-api is primarily Python; sherpa-onnx is C++; License: chatterbox-tts-api is AGPL-3.0, sherpa-onnx is Apache-2.0; 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 sherpa-onnx? If your project strictly requires real-time web service interaction or server-based speech-to-text solutions When the target environment lacks support for ONNX runtime and specific NPUs integrated within sherpa-onnx ### 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 sherpa-onnx or chatterbox-tts-api more popular on GitHub? sherpa-onnx has more GitHub stars (13,842 vs 666). Stars measure visibility, not whether either tool fits your constraints. ### Are sherpa-onnx and chatterbox-tts-api open source? Yes - both are open-source projects on GitHub (sherpa-onnx: Apache-2.0, chatterbox-tts-api: AGPL-3.0). ### Where can I find alternatives to sherpa-onnx or chatterbox-tts-api? GraphCanon lists graph-backed alternatives at [sherpa-onnx alternatives](/tools/k2-fsa-sherpa-onnx/alternatives) and [chatterbox-tts-api alternatives](/tools/travisvn-chatterbox-tts-api/alternatives) ([sherpa-onnx markdown twin](/tools/k2-fsa-sherpa-onnx/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/k2-fsa-sherpa-onnx-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, sherpa-onnx or chatterbox-tts-api? sherpa-onnx: 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 sherpa-onnx and chatterbox-tts-api? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [sherpa-onnx trust report](/tools/k2-fsa-sherpa-onnx/trust); [chatterbox-tts-api trust report](/tools/travisvn-chatterbox-tts-api/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=k2-fsa-sherpa-onnx`](/api/graphcanon/graph?tool=k2-fsa-sherpa-onnx) - 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/_