--- title: "whisper-timestamped vs chatterbox-tts-api" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/linto-ai-whisper-timestamped-vs-travisvn-chatterbox-tts-api" tools: ["linto-ai-whisper-timestamped", "travisvn-chatterbox-tts-api"] --- # whisper-timestamped vs chatterbox-tts-api *GraphCanon updated Aug 13, 2026* ## Verdict Pick whisper-timestamped if whisper-timestamped is a Python library that extends OpenAI's Whisper model with word-level timestamps and confidence scoring; 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. [whisper-timestamped](https://github.com/linto-ai/whisper-timestamped) reports 2.8k GitHub stars, 212 forks, and 49 open issues, last pushed Sep 9, 2025. [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 [whisper-timestamped's repository](https://github.com/linto-ai/whisper-timestamped) and [chatterbox-tts-api's repository](https://github.com/travisvn/chatterbox-tts-api). | | [whisper-timestamped](/tools/linto-ai-whisper-timestamped.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Tagline | Multilingual Automatic Speech Recognition with word-level timestamps and confidence | Local OpenAI-compatible text-to-speech API using Chatterbox | | Stars | 2,832 | 666 | | Forks | 212 | 152 | | Open issues | 49 | 16 | | Language | Python | Python | | Adopt for | whisper-timestamped is a Python library that extends OpenAI's Whisper model with word-level timestamps and confidence scoring. | 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 | AGPL-3.0 | 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._ | | [whisper-timestamped](/tools/linto-ai-whisper-timestamped.md) | [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) | | --- | --- | --- | | Days since push | 324d | 232d | | Open issues (now) | 49 | 16 | | Owner type | Organization | User | | Full report | [trust report](/tools/linto-ai-whisper-timestamped/trust.md) | [trust report](/tools/travisvn-chatterbox-tts-api/trust.md) | ## Shared compatibility - **Python**: [whisper-timestamped](/tools/linto-ai-whisper-timestamped.md) - Python runtime; [chatterbox-tts-api](/tools/travisvn-chatterbox-tts-api.md) - Python runtime ## Decision facts: whisper-timestamped - **Adopt for:** whisper-timestamped is a Python library that extends OpenAI's Whisper model with word-level timestamps and confidence scoring. ## 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 whisper-timestamped if… - Tags unique to whisper-timestamped: asr, attention-mechanism, deep-learning, multilingual-models. - whisper-timestamped ships Docker support for self-hosted deployment. - When you need precise timestamping for each spoken word in speech recognition output. ### Choose chatterbox-tts-api if… - 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 whisper-timestamped - Avoid if your project requires minimal dependencies or a smaller footprint, as it includes several external libraries like matplotlib and transformers. - Not suitable for real-time applications where low latency is crucial due to the additional overhead of timestamp generation and confidence scoring. ## 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 whisper-timestamped and chatterbox-tts-api? whisper-timestamped: Multilingual Automatic Speech Recognition with word-level timestamps and confidence. 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 whisper-timestamped over chatterbox-tts-api? Choose whisper-timestamped over chatterbox-tts-api when Tags unique to whisper-timestamped: asr, attention-mechanism, deep-learning, multilingual-models; whisper-timestamped ships Docker support for self-hosted deployment; When you need precise timestamping for each spoken word in speech recognition output. ### When should I choose chatterbox-tts-api over whisper-timestamped? Choose chatterbox-tts-api over whisper-timestamped when 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 whisper-timestamped? Avoid if your project requires minimal dependencies or a smaller footprint, as it includes several external libraries like matplotlib and transformers. Not suitable for real-time applications where low latency is crucial due to the additional overhead of timestamp generation and confidence scoring. ### 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 whisper-timestamped or chatterbox-tts-api more popular on GitHub? whisper-timestamped has more GitHub stars (2,832 vs 666). Stars measure visibility, not whether either tool fits your constraints. ### Are whisper-timestamped and chatterbox-tts-api open source? Yes - both are open-source projects on GitHub (whisper-timestamped: AGPL-3.0, chatterbox-tts-api: AGPL-3.0). ### Where can I find alternatives to whisper-timestamped or chatterbox-tts-api? GraphCanon lists graph-backed alternatives at [whisper-timestamped alternatives](/tools/linto-ai-whisper-timestamped/alternatives) and [chatterbox-tts-api alternatives](/tools/travisvn-chatterbox-tts-api/alternatives) ([whisper-timestamped markdown twin](/tools/linto-ai-whisper-timestamped/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/linto-ai-whisper-timestamped-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, whisper-timestamped or chatterbox-tts-api? whisper-timestamped: Slowing. 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 whisper-timestamped and chatterbox-tts-api? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [whisper-timestamped trust report](/tools/linto-ai-whisper-timestamped/trust); [chatterbox-tts-api trust report](/tools/travisvn-chatterbox-tts-api/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=linto-ai-whisper-timestamped`](/api/graphcanon/graph?tool=linto-ai-whisper-timestamped) - 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/_