--- title: "Chatterbox-TTS-Server vs whisper-diarization" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/devnen-chatterbox-tts-server-vs-mahmoudashraf97-whisper-diarization" tools: ["devnen-chatterbox-tts-server", "mahmoudashraf97-whisper-diarization"] --- # Chatterbox-TTS-Server vs whisper-diarization *GraphCanon updated Jul 30, 2026* ## Verdict Pick Chatterbox-TTS-Server if chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU; pick whisper-diarization if automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects. [Chatterbox-TTS-Server](https://colab.research.google.com/github/devnen/Chatterbox-TTS-Server/blob/main/Chatterbox_TTS_Colab_Demo.ipynb) reports 1.4k GitHub stars, 333 forks, and 45 open issues, last pushed May 26, 2026. [whisper-diarization](https://github.com/MahmoudAshraf97/whisper-diarization) has 5.6k stars, 503 forks, and 41 open issues, last pushed Feb 23, 2026. Figures are from public GitHub metadata via [Chatterbox-TTS-Server's repository](https://github.com/devnen/Chatterbox-TTS-Server) and [whisper-diarization's repository](https://github.com/MahmoudAshraf97/whisper-diarization). | | [Chatterbox-TTS-Server](/tools/devnen-chatterbox-tts-server.md) | [whisper-diarization](/tools/mahmoudashraf97-whisper-diarization.md) | | --- | --- | --- | | Tagline | Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints | Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper | | Stars | 1,379 | 5,615 | | Forks | 333 | 503 | | Open issues | 45 | 41 | | Language | Python | Jupyter Notebook | | Adopt for | Chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU. | Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects | | Persona | - | - | | Runtime | - | - | | License | MIT License, open-source with permissive terms for modification and distribution. | BSD-2-Clause | | Categories | Speech & Audio | Developer Tools, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Chatterbox-TTS-Server](/tools/devnen-chatterbox-tts-server.md) | [whisper-diarization](/tools/mahmoudashraf97-whisper-diarization.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 64d | 156d | | Open issues (now) | 45 | 41 | | Full report | [trust report](/tools/devnen-chatterbox-tts-server/trust.md) | [trust report](/tools/mahmoudashraf97-whisper-diarization/trust.md) | ## Shared compatibility - **Python**: [Chatterbox-TTS-Server](/tools/devnen-chatterbox-tts-server.md) - Python runtime; [whisper-diarization](/tools/mahmoudashraf97-whisper-diarization.md) - Python runtime ## Decision facts: Chatterbox-TTS-Server - **Requirements:** Python 3.10 needed for pre-built wheels; avoid Python >=3.11 due to lack of support.; Ensure hardware and driver meets the Hardware Compatibility Matrix requirements. - **Adopt for:** Chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU. - **License detail:** MIT License, open-source with permissive terms for modification and distribution. ## Decision facts: whisper-diarization - **Adopt for:** Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects - **License detail:** BSD-2-Clause ## Choose when ### Choose Chatterbox-TTS-Server if… - Chatterbox-TTS-Server is primarily Python; whisper-diarization is Jupyter Notebook. - License: Chatterbox-TTS-Server is MIT, whisper-diarization is BSD-2-Clause. - Requirements: Python 3.10 needed for pre-built wheels; avoid Python >=3.11 due to lack of support.; Ensure hardware and driver meets the Hardware Compatibility Matrix requirements.. - Tags unique to Chatterbox-TTS-Server: ai, api-server, audio-generation, chatterbox. - Chatterbox-TTS-Server ships Docker support for self-hosted deployment. - You need a self-hosted Text-to-Speech service that supports advanced features like voice cloning. ### Choose whisper-diarization if… - whisper-diarization is primarily Jupyter Notebook; Chatterbox-TTS-Server is Python. - License: whisper-diarization is BSD-2-Clause, Chatterbox-TTS-Server is MIT. - Tags unique to whisper-diarization: asr, speaker-diarization, speech-recognition, whisper. - Also covers Developer Tools. - You need advanced speech recognition capabilities paired with speaker diarization in your Python project. ## When NOT to use Chatterbox-TTS-Server - When only pre-built wheels and no flexibility with Python versions is required (strictly follows Python 3.10). - If your hardware or OS lacks support detailed in the compatibility matrix, like unsupported GPUs/CPU setups. - For projects requiring minimal dependencies without manual handling of installation intricacies. ## When NOT to use whisper-diarization - If your project is restricted to use only open-source tools under the MIT license, as whisper-diarization uses the BSD-2-Clause license. - Your environment cannot support Python 3.10 or later or you lack prerequisites such as Cython and FFMPEG installation rights. ## Common questions ### What is the difference between Chatterbox-TTS-Server and whisper-diarization? Chatterbox-TTS-Server: Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints. whisper-diarization: Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper. See the comparison table for live GitHub stats and shared categories. ### When should I choose Chatterbox-TTS-Server over whisper-diarization? Choose Chatterbox-TTS-Server over whisper-diarization when Chatterbox-TTS-Server is primarily Python; whisper-diarization is Jupyter Notebook; License: Chatterbox-TTS-Server is MIT, whisper-diarization is BSD-2-Clause; Requirements: Python 3.10 needed for pre-built wheels; avoid Python >=3.11 due to lack of support.; Ensure hardware and driver meets the Hardware Compatibility Matrix requirements.; Tags unique to Chatterbox-TTS-Server: ai, api-server, audio-generation, chatterbox; Chatterbox-TTS-Server ships Docker support for self-hosted deployment; You need a self-hosted Text-to-Speech service that supports advanced features like voice cloning. ### When should I choose whisper-diarization over Chatterbox-TTS-Server? Choose whisper-diarization over Chatterbox-TTS-Server when whisper-diarization is primarily Jupyter Notebook; Chatterbox-TTS-Server is Python; License: whisper-diarization is BSD-2-Clause, Chatterbox-TTS-Server is MIT; Tags unique to whisper-diarization: asr, speaker-diarization, speech-recognition, whisper; Also covers Developer Tools; You need advanced speech recognition capabilities paired with speaker diarization in your Python project. ### When should I avoid Chatterbox-TTS-Server? When only pre-built wheels and no flexibility with Python versions is required (strictly follows Python 3.10). If your hardware or OS lacks support detailed in the compatibility matrix, like unsupported GPUs/CPU setups. For projects requiring minimal dependencies without manual handling of installation intricacies. ### When should I avoid whisper-diarization? If your project is restricted to use only open-source tools under the MIT license, as whisper-diarization uses the BSD-2-Clause license. Your environment cannot support Python 3.10 or later or you lack prerequisites such as Cython and FFMPEG installation rights. ### Is Chatterbox-TTS-Server or whisper-diarization more popular on GitHub? whisper-diarization has more GitHub stars (5,615 vs 1,379). Stars measure visibility, not whether either tool fits your constraints. ### Are Chatterbox-TTS-Server and whisper-diarization open source? Yes - both are open-source projects on GitHub (Chatterbox-TTS-Server: MIT, whisper-diarization: BSD-2-Clause). ### Where can I find alternatives to Chatterbox-TTS-Server or whisper-diarization? GraphCanon lists graph-backed alternatives at [Chatterbox-TTS-Server alternatives](/tools/devnen-chatterbox-tts-server/alternatives) and [whisper-diarization alternatives](/tools/mahmoudashraf97-whisper-diarization/alternatives) ([Chatterbox-TTS-Server markdown twin](/tools/devnen-chatterbox-tts-server/alternatives.md), [whisper-diarization markdown twin](/tools/mahmoudashraf97-whisper-diarization/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/devnen-chatterbox-tts-server-vs-mahmoudashraf97-whisper-diarization.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Chatterbox-TTS-Server or whisper-diarization? Chatterbox-TTS-Server: Steady. whisper-diarization: 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 Chatterbox-TTS-Server and whisper-diarization? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Chatterbox-TTS-Server trust report](/tools/devnen-chatterbox-tts-server/trust); [whisper-diarization trust report](/tools/mahmoudashraf97-whisper-diarization/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=devnen-chatterbox-tts-server`](/api/graphcanon/graph?tool=devnen-chatterbox-tts-server) - 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/_