--- title: "ChatTTS_colab vs VoxCPM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/6drf21e-chattts-colab-vs-openbmb-voxcpm" tools: ["6drf21e-chattts-colab", "openbmb-voxcpm"] --- # ChatTTS_colab vs VoxCPM *GraphCanon updated Jul 29, 2026* ## Verdict Pick ChatTTS_colab if chatTTS_colab offers one-click deployment for ChatTTS text-to-speech applications on Colab and supports voice style selection, long audio generation, and streaming output; pick VoxCPM if voxCPM is a tokenizer-free TTS tool excelling in multilingual speech generation, creative voice design, and lifelike cloning. [ChatTTS_colab](https://github.com/6drf21e/ChatTTS_colab) reports 2.6k GitHub stars, 324 forks, and 78 open issues, last pushed May 31, 2026. [VoxCPM](https://voxcpm.com) has 34k stars, 3.9k forks, and 99 open issues, last pushed Jul 8, 2026. Figures are from public GitHub metadata via [ChatTTS_colab's repository](https://github.com/6drf21e/ChatTTS_colab) and [VoxCPM's repository](https://github.com/OpenBMB/VoxCPM). | | [ChatTTS_colab](/tools/6drf21e-chattts-colab.md) | [VoxCPM](/tools/openbmb-voxcpm.md) | | --- | --- | --- | | Tagline | 一键部署的ChatTTS项目，支持流式输出、音色抽卡和长音频生成。 | Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning | | Stars | 2,578 | 34,452 | | Forks | 324 | 3,939 | | Open issues | 78 | 99 | | Language | Python | Python | | Adopt for | ChatTTS_colab offers one-click deployment for ChatTTS text-to-speech applications on Colab and supports voice style selection, long audio generation, and streaming output. | VoxCPM is a tokenizer-free TTS tool excelling in multilingual speech generation, creative voice design, and lifelike cloning. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Speech & Audio | Inference & Serving, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ChatTTS_colab](/tools/6drf21e-chattts-colab.md) | [VoxCPM](/tools/openbmb-voxcpm.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 59d | 20d | | Open issues (now) | 78 | 99 | | Owner type | User | Organization | | Full report | [trust report](/tools/6drf21e-chattts-colab/trust.md) | [trust report](/tools/openbmb-voxcpm/trust.md) | ## Shared compatibility - **Python**: [ChatTTS_colab](/tools/6drf21e-chattts-colab.md) - Python runtime; [VoxCPM](/tools/openbmb-voxcpm.md) - Python runtime ## Decision facts: ChatTTS_colab - **Adopt for:** ChatTTS_colab offers one-click deployment for ChatTTS text-to-speech applications on Colab and supports voice style selection, long audio generation, and streaming output. ## Decision facts: VoxCPM - **Requirements:** Python >= 3.10 (<3.13), PyTorch >= 2.5.0, CUDA >= 12.0.; For production deployment, Nano-vLLM is recommended for its high throughput and concurrent request support. - **Adopt for:** VoxCPM is a tokenizer-free TTS tool excelling in multilingual speech generation, creative voice design, and lifelike cloning. ## Choose when ### Choose ChatTTS_colab if… - Tags unique to ChatTTS_colab: chattts, colab-notebook, text-to-speech. - When you want a simplified setup with minimal configuration needed in a browser-based environment using Google Colab. - Leaner open-issue backlog (78). ### Choose VoxCPM if… - Requirements: Python >= 3.10 (<3.13), PyTorch >= 2.5.0, CUDA >= 12.0.; For production deployment, Nano-vLLM is recommended for its high throughput and concurrent request support.. - Tags unique to VoxCPM: audio, deeplearning, minicpm, multilingual. - Also covers Inference & Serving. - When you need to generate high-quality, lifelike voice clones for multiple languages without the overhead of tokenizers. ## When NOT to use ChatTTS_colab - If your project needs do not include the ability to generate audio on-the-fly or manage multiple character readings. - When you want to avoid Colab's resource limitations that could affect performance for heavy text-to-speech tasks. - In scenarios where offline package support is not necessary, as this might introduce unnecessary complexities. ## When NOT to use VoxCPM - If your project is constrained by hardware with less powerful GPUs than NVIDIA RTX 4090, as VoxCPM might not provide optimal real-time factor performance. - When a simple text-to-speech solution suffices and does not require the advanced features like voice cloning or creative voice design that VoxCPM offers. ## Common questions ### What is the difference between ChatTTS_colab and VoxCPM? ChatTTS_colab: 一键部署的ChatTTS项目，支持流式输出、音色抽卡和长音频生成。. VoxCPM: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning. See the comparison table for live GitHub stats and shared categories. ### When should I choose ChatTTS_colab over VoxCPM? Choose ChatTTS_colab over VoxCPM when Tags unique to ChatTTS_colab: chattts, colab-notebook, text-to-speech; When you want a simplified setup with minimal configuration needed in a browser-based environment using Google Colab; Leaner open-issue backlog (78). ### When should I choose VoxCPM over ChatTTS_colab? Choose VoxCPM over ChatTTS_colab when Requirements: Python >= 3.10 (<3.13), PyTorch >= 2.5.0, CUDA >= 12.0.; For production deployment, Nano-vLLM is recommended for its high throughput and concurrent request support.; Tags unique to VoxCPM: audio, deeplearning, minicpm, multilingual; Also covers Inference & Serving; When you need to generate high-quality, lifelike voice clones for multiple languages without the overhead of tokenizers. ### When should I avoid ChatTTS_colab? If your project needs do not include the ability to generate audio on-the-fly or manage multiple character readings. When you want to avoid Colab's resource limitations that could affect performance for heavy text-to-speech tasks. In scenarios where offline package support is not necessary, as this might introduce unnecessary complexities. ### When should I avoid VoxCPM? If your project is constrained by hardware with less powerful GPUs than NVIDIA RTX 4090, as VoxCPM might not provide optimal real-time factor performance. When a simple text-to-speech solution suffices and does not require the advanced features like voice cloning or creative voice design that VoxCPM offers. ### Is ChatTTS_colab or VoxCPM more popular on GitHub? VoxCPM has more GitHub stars (34,452 vs 2,578). Stars measure visibility, not whether either tool fits your constraints. ### Are ChatTTS_colab and VoxCPM open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to ChatTTS_colab or VoxCPM? GraphCanon lists graph-backed alternatives at [ChatTTS_colab alternatives](/tools/6drf21e-chattts-colab/alternatives) and [VoxCPM alternatives](/tools/openbmb-voxcpm/alternatives) ([ChatTTS_colab markdown twin](/tools/6drf21e-chattts-colab/alternatives.md), [VoxCPM markdown twin](/tools/openbmb-voxcpm/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/6drf21e-chattts-colab-vs-openbmb-voxcpm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ChatTTS_colab or VoxCPM? ChatTTS_colab: Steady. VoxCPM: 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 ChatTTS_colab and VoxCPM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ChatTTS_colab trust report](/tools/6drf21e-chattts-colab/trust); [VoxCPM trust report](/tools/openbmb-voxcpm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=6drf21e-chattts-colab`](/api/graphcanon/graph?tool=6drf21e-chattts-colab) - 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/_