--- title: "chatterbox-tts-api vs speech_recognition" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/travisvn-chatterbox-tts-api-vs-uberi-speech-recognition" tools: ["travisvn-chatterbox-tts-api", "uberi-speech-recognition"] --- # chatterbox-tts-api vs speech_recognition *GraphCanon updated Aug 13, 2026* ## Verdict 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; pick speech_recognition if speech_recognition is a Python library providing support for speech recognition across multiple engines and APIs. [chatterbox-tts-api](https://chatterboxtts.com) reports 666 GitHub stars, 152 forks, and 16 open issues, last pushed Dec 23, 2025. [speech_recognition](https://pypi.python.org/pypi/SpeechRecognition/) has 9.0k stars, 2.4k forks, and 312 open issues, last pushed Jun 16, 2026. Figures are from public GitHub metadata via [chatterbox-tts-api's repository](https://github.com/travisvn/chatterbox-tts-api) and [speech_recognition's repository](https://github.com/Uberi/speech_recognition). | | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | [speech_recognition](/tools/uberi-speech-recognition.md) | | --- | --- | --- | | Tagline | Local OpenAI-compatible text-to-speech API using Chatterbox | Speech recognition module for Python | | Stars | 666 | 8,977 | | Forks | 152 | 2,415 | | Open issues | 16 | 312 | | 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. | speech_recognition is a Python library providing support for speech recognition across multiple engines and APIs. | | Persona | - | - | | Runtime | - | - | | License | Chatterbox-TTS-API is distributed under the AGPL-3.0 license, ensuring any modifications or derivative works must be shared openly. | BSD-3-Clause | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | [speech_recognition](/tools/uberi-speech-recognition.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 232d | 43d | | Open issues (now) | 16 | 312 | | Full report | [trust report](/tools/travisvn-chatterbox-tts-api/trust.md) | [trust report](/tools/uberi-speech-recognition/trust.md) | ## Shared compatibility - **Python**: [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) - Python runtime; [speech_recognition](/tools/uberi-speech-recognition.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. ## Decision facts: speech_recognition - **Pricing:** freemium - The library itself is free and open-source, but costs might arise from using third-party speech recognition services it supports. - **Adopt for:** speech_recognition is a Python library providing support for speech recognition across multiple engines and APIs. - **License detail:** BSD-3-Clause ## Choose when ### Choose chatterbox-tts-api if… - License: chatterbox-tts-api is AGPL-3.0, speech_recognition is BSD-3-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. ### Choose speech_recognition if… - License: speech_recognition is BSD-3-Clause, chatterbox-tts-api is AGPL-3.0. - Pricing: The library itself is free and open-source, but costs might arise from using third-party speech recognition services it supports.. - Tags unique to speech_recognition: audio, python, speech-recognition, speech-to-text. - Use when you need an open-source solution with broad engine compatibility, supporting both online and offline modes. ## 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. ## When NOT to use speech_recognition - Avoid if your project mandates real-time, low-latency processing exclusively, since some of the supported engines might have higher latency. - Do not use if strict accuracy in speaker diarization is crucial; competing APIs like Recall.ai may offer better speaker identification features. ## Common questions ### What is the difference between chatterbox-tts-api and speech_recognition? chatterbox-tts-api: Local OpenAI-compatible text-to-speech API using Chatterbox. speech_recognition: Speech recognition module for Python. See the comparison table for live GitHub stats and shared categories. ### When should I choose chatterbox-tts-api over speech_recognition? Choose chatterbox-tts-api over speech_recognition when License: chatterbox-tts-api is AGPL-3.0, speech_recognition is BSD-3-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 choose speech_recognition over chatterbox-tts-api? Choose speech_recognition over chatterbox-tts-api when License: speech_recognition is BSD-3-Clause, chatterbox-tts-api is AGPL-3.0; Pricing: The library itself is free and open-source, but costs might arise from using third-party speech recognition services it supports.; Tags unique to speech_recognition: audio, python, speech-recognition, speech-to-text; Use when you need an open-source solution with broad engine compatibility, supporting both online and offline modes. ### 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. ### When should I avoid speech_recognition? Avoid if your project mandates real-time, low-latency processing exclusively, since some of the supported engines might have higher latency. Do not use if strict accuracy in speaker diarization is crucial; competing APIs like Recall.ai may offer better speaker identification features. ### Is chatterbox-tts-api or speech_recognition more popular on GitHub? speech_recognition has more GitHub stars (8,977 vs 666). Stars measure visibility, not whether either tool fits your constraints. ### Are chatterbox-tts-api and speech_recognition open source? Yes - both are open-source projects on GitHub (chatterbox-tts-api: AGPL-3.0, speech_recognition: BSD-3-Clause). ### Where can I find alternatives to chatterbox-tts-api or speech_recognition? GraphCanon lists graph-backed alternatives at [chatterbox-tts-api alternatives](/tools/travisvn-chatterbox-tts-api/alternatives) and [speech_recognition alternatives](/tools/uberi-speech-recognition/alternatives) ([chatterbox-tts-api markdown twin](/tools/travisvn-chatterbox-tts-api/alternatives.md), [speech_recognition markdown twin](/tools/uberi-speech-recognition/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/travisvn-chatterbox-tts-api-vs-uberi-speech-recognition.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, chatterbox-tts-api or speech_recognition? chatterbox-tts-api: Slowing. speech_recognition: Steady. 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 chatterbox-tts-api and speech_recognition? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [chatterbox-tts-api trust report](/tools/travisvn-chatterbox-tts-api/trust); [speech_recognition trust report](/tools/uberi-speech-recognition/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=travisvn-chatterbox-tts-api`](/api/graphcanon/graph?tool=travisvn-chatterbox-tts-api) - 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/_