--- title: "WhisperLive vs chatterbox-tts-api" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/collabora-whisperlive-vs-travisvn-chatterbox-tts-api" tools: ["collabora-whisperlive", "travisvn-chatterbox-tts-api"] --- # WhisperLive vs chatterbox-tts-api *GraphCanon updated Aug 13, 2026* ## Verdict Pick WhisperLive if whisperLive offers nearly real-time speech transcription based on OpenAI's Whisper model across multiple hardware-accelerated backends; 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. [WhisperLive](https://github.com/collabora/WhisperLive) reports 4.2k GitHub stars, 574 forks, and 37 open issues, last pushed Jul 27, 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 [WhisperLive's repository](https://github.com/collabora/WhisperLive) and [chatterbox-tts-api's repository](https://github.com/travisvn/chatterbox-tts-api). | | [WhisperLive](/tools/collabora-whisperlive.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Tagline | A nearly-live implementation of OpenAI's Whisper for real-time voice recognition | Local OpenAI-compatible text-to-speech API using Chatterbox | | Stars | 4,190 | 666 | | Forks | 574 | 152 | | Open issues | 37 | 16 | | Language | Python | Python | | Adopt for | WhisperLive offers nearly real-time speech transcription based on OpenAI's Whisper model across multiple hardware-accelerated backends. | 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._ | | [WhisperLive](/tools/collabora-whisperlive.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 232d | | Open issues (now) | 37 | 16 | | Owner type | Organization | User | | Full report | [trust report](/tools/collabora-whisperlive/trust.md) | [trust report](/tools/travisvn-chatterbox-tts-api/trust.md) | ## Shared compatibility - **Python**: [WhisperLive](/tools/collabora-whisperlive.md) - Python runtime; [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) - Python runtime ## Decision facts: WhisperLive - **Requirements:** Min 4 GB RAM; Requires Docker; PortAudio system dependency required.; Requires Python 3.12 environment and virtual environments - **Adopt for:** WhisperLive offers nearly real-time speech transcription based on OpenAI's Whisper model across multiple hardware-accelerated backends. ## 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 WhisperLive if… - License: WhisperLive is MIT, chatterbox-tts-api is AGPL-3.0. - Requirements: Min 4 GB RAM; Requires Docker; PortAudio system dependency required.; Requires Python 3.12 environment and virtual environments. - Tags unique to WhisperLive: dictation, text-to-speech, translation, voice-recognition. - When you require low-latency voice recognition and can leverage high-performance GPUs or OpenVINO for significant speedups. ### Choose chatterbox-tts-api if… - License: chatterbox-tts-api is AGPL-3.0, WhisperLive 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 WhisperLive - Avoid using WhisperLive if the project lacks necessary hardware acceleration via TensorRT, OpenVINO, or is deployed on environments not compatible with Docker configurations. - Do not choose WhisperLive if a Windows-only solution is required, as its setup instructions are tailored for Linux and macOS. ## 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 WhisperLive and chatterbox-tts-api? WhisperLive: A nearly-live implementation of OpenAI's Whisper for real-time voice recognition. 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 WhisperLive over chatterbox-tts-api? Choose WhisperLive over chatterbox-tts-api when License: WhisperLive is MIT, chatterbox-tts-api is AGPL-3.0; Requirements: Min 4 GB RAM; Requires Docker; PortAudio system dependency required.; Requires Python 3.12 environment and virtual environments; Tags unique to WhisperLive: dictation, text-to-speech, translation, voice-recognition; When you require low-latency voice recognition and can leverage high-performance GPUs or OpenVINO for significant speedups. ### When should I choose chatterbox-tts-api over WhisperLive? Choose chatterbox-tts-api over WhisperLive when License: chatterbox-tts-api is AGPL-3.0, WhisperLive 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 WhisperLive? Avoid using WhisperLive if the project lacks necessary hardware acceleration via TensorRT, OpenVINO, or is deployed on environments not compatible with Docker configurations. Do not choose WhisperLive if a Windows-only solution is required, as its setup instructions are tailored for Linux and macOS. ### 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 WhisperLive or chatterbox-tts-api more popular on GitHub? WhisperLive has more GitHub stars (4,190 vs 666). Stars measure visibility, not whether either tool fits your constraints. ### Are WhisperLive and chatterbox-tts-api open source? Yes - both are open-source projects on GitHub (WhisperLive: MIT, chatterbox-tts-api: AGPL-3.0). ### Where can I find alternatives to WhisperLive or chatterbox-tts-api? GraphCanon lists graph-backed alternatives at [WhisperLive alternatives](/tools/collabora-whisperlive/alternatives) and [chatterbox-tts-api alternatives](/tools/travisvn-chatterbox-tts-api/alternatives) ([WhisperLive markdown twin](/tools/collabora-whisperlive/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/collabora-whisperlive-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, WhisperLive or chatterbox-tts-api? WhisperLive: 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 WhisperLive and chatterbox-tts-api? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [WhisperLive trust report](/tools/collabora-whisperlive/trust); [chatterbox-tts-api trust report](/tools/travisvn-chatterbox-tts-api/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=collabora-whisperlive`](/api/graphcanon/graph?tool=collabora-whisperlive) - 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/_