--- title: "Chatterbox-TTS-Server vs Kokoro-FastAPI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/devnen-chatterbox-tts-server-vs-remsky-kokoro-fastapi" tools: ["devnen-chatterbox-tts-server", "remsky-kokoro-fastapi"] --- # Chatterbox-TTS-Server vs Kokoro-FastAPI *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 Kokoro-FastAPI if kokoro-FastAPI is a Dockerized wrapper for the Kokoro-82M text-to-speech model using FastAPI. It supports multi-language capability and provides prebuilt images for various hardware types. [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. [Kokoro-FastAPI](https://github.com/remsky/Kokoro-FastAPI) has 5.3k stars, 858 forks, and 109 open issues, last pushed Jul 21, 2026. Figures are from public GitHub metadata via [Chatterbox-TTS-Server's repository](https://github.com/devnen/Chatterbox-TTS-Server) and [Kokoro-FastAPI's repository](https://github.com/remsky/Kokoro-FastAPI). | | [Chatterbox-TTS-Server](/tools/devnen-chatterbox-tts-server.md) | [Kokoro-FastAPI](/tools/remsky-kokoro-fastapi.md) | | --- | --- | --- | | Tagline | Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints | Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model | | Stars | 1,379 | 5,265 | | Forks | 333 | 858 | | Open issues | 45 | 109 | | Language | Python | Python | | Adopt for | Chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU. | Kokoro-FastAPI is a Dockerized wrapper for the Kokoro-82M text-to-speech model using FastAPI. It supports multi-language capability and provides prebuilt images for various hardware types. | | Persona | - | - | | Runtime | - | - | | License | MIT License, open-source with permissive terms for modification and distribution. | Apache-2.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Chatterbox-TTS-Server](/tools/devnen-chatterbox-tts-server.md) | [Kokoro-FastAPI](/tools/remsky-kokoro-fastapi.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 64d | 8d | | Open issues (now) | 45 | 109 | | Full report | [trust report](/tools/devnen-chatterbox-tts-server/trust.md) | [trust report](/tools/remsky-kokoro-fastapi/trust.md) | ## Shared compatibility - **Python**: [Chatterbox-TTS-Server](/tools/devnen-chatterbox-tts-server.md) - Python runtime; [Kokoro-FastAPI](/tools/remsky-kokoro-fastapi.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: Kokoro-FastAPI - **Requirements:** Min 4 GB RAM; Requires Docker; Hardware-specific Docker images are provided for CUDA, ROCm (experimental), and CPU support.; Users without supported GPUs can still utilize the service via a CPU image. - **Adopt for:** Kokoro-FastAPI is a Dockerized wrapper for the Kokoro-82M text-to-speech model using FastAPI. It supports multi-language capability and provides prebuilt images for various hardware types. ## Choose when ### Choose Chatterbox-TTS-Server if… - License: Chatterbox-TTS-Server is MIT, Kokoro-FastAPI is Apache-2.0. - 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 Kokoro-FastAPI if… - License: Kokoro-FastAPI is Apache-2.0, Chatterbox-TTS-Server is MIT. - Requirements: Min 4 GB RAM; Requires Docker; Hardware-specific Docker images are provided for CUDA, ROCm (experimental), and CPU support.; Users without supported GPUs can still utilize the service via a CPU image.. - Tags unique to Kokoro-FastAPI: docker, kokoro tts, multi-gpu support, openai-compatible-api. - You require a solution that can auto-download models and run natively on Apple Silicon (MPS) with support via UV. ## 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 Kokoro-FastAPI - If your hardware is not supported by the provided Docker images, for example, if you do not have a compatible NVIDIA, AMD GPU or CPU setup. - You are looking for non-Dockerized solutions. Kokoro-FastAPI focuses on containerization and might not fit environments that strictly avoid containers. ## Common questions ### What is the difference between Chatterbox-TTS-Server and Kokoro-FastAPI? Chatterbox-TTS-Server: Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints. Kokoro-FastAPI: Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model. See the comparison table for live GitHub stats and shared categories. ### When should I choose Chatterbox-TTS-Server over Kokoro-FastAPI? Choose Chatterbox-TTS-Server over Kokoro-FastAPI when License: Chatterbox-TTS-Server is MIT, Kokoro-FastAPI is Apache-2.0; 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 Kokoro-FastAPI over Chatterbox-TTS-Server? Choose Kokoro-FastAPI over Chatterbox-TTS-Server when License: Kokoro-FastAPI is Apache-2.0, Chatterbox-TTS-Server is MIT; Requirements: Min 4 GB RAM; Requires Docker; Hardware-specific Docker images are provided for CUDA, ROCm (experimental), and CPU support.; Users without supported GPUs can still utilize the service via a CPU image.; Tags unique to Kokoro-FastAPI: docker, kokoro tts, multi-gpu support, openai-compatible-api; You require a solution that can auto-download models and run natively on Apple Silicon (MPS) with support via UV. ### 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 Kokoro-FastAPI? If your hardware is not supported by the provided Docker images, for example, if you do not have a compatible NVIDIA, AMD GPU or CPU setup. You are looking for non-Dockerized solutions. Kokoro-FastAPI focuses on containerization and might not fit environments that strictly avoid containers. ### Is Chatterbox-TTS-Server or Kokoro-FastAPI more popular on GitHub? Kokoro-FastAPI has more GitHub stars (5,265 vs 1,379). Stars measure visibility, not whether either tool fits your constraints. ### Are Chatterbox-TTS-Server and Kokoro-FastAPI open source? Yes - both are open-source projects on GitHub (Chatterbox-TTS-Server: MIT, Kokoro-FastAPI: Apache-2.0). ### Where can I find alternatives to Chatterbox-TTS-Server or Kokoro-FastAPI? GraphCanon lists graph-backed alternatives at [Chatterbox-TTS-Server alternatives](/tools/devnen-chatterbox-tts-server/alternatives) and [Kokoro-FastAPI alternatives](/tools/remsky-kokoro-fastapi/alternatives) ([Chatterbox-TTS-Server markdown twin](/tools/devnen-chatterbox-tts-server/alternatives.md), [Kokoro-FastAPI markdown twin](/tools/remsky-kokoro-fastapi/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-remsky-kokoro-fastapi.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 Kokoro-FastAPI? Chatterbox-TTS-Server: Steady. Kokoro-FastAPI: Active. 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 Kokoro-FastAPI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Chatterbox-TTS-Server trust report](/tools/devnen-chatterbox-tts-server/trust); [Kokoro-FastAPI trust report](/tools/remsky-kokoro-fastapi/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/_