--- title: "vosk-api vs awesome-whisper" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alphacep-vosk-api-vs-sindresorhus-awesome-whisper" tools: ["alphacep-vosk-api", "sindresorhus-awesome-whisper"] --- # vosk-api vs awesome-whisper *GraphCanon updated Jul 30, 2026* ## Verdict Pick vosk-api if vosk-api is an offline speech recognition toolkit enabling continuous large-vocabulary transcription for over 20 languages, fitting onto small devices while offering speaker identification; pick awesome-whisper if awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools. [vosk-api](https://github.com/alphacep/vosk-api) reports 15k GitHub stars, 1.7k forks, and 600 open issues, last pushed Jul 2, 2026. [awesome-whisper](https://github.com/sindresorhus/awesome-whisper) has 2.4k stars, 156 forks, and 7 open issues, last pushed Mar 17, 2026. Figures are from public GitHub metadata via [vosk-api's repository](https://github.com/alphacep/vosk-api) and [awesome-whisper's repository](https://github.com/sindresorhus/awesome-whisper). | | [vosk-api](/tools/alphacep-vosk-api.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | | --- | --- | --- | | Tagline | Offline speech recognition API | Curated resources for Whisper speech recognition system | | Stars | 15,013 | 2,361 | | Forks | 1,740 | 156 | | Open issues | 600 | 7 | | Language | Jupyter Notebook | - | | Adopt for | Vosk-api is an offline speech recognition toolkit enabling continuous large-vocabulary transcription for over 20 languages, fitting onto small devices while offering speaker identification. | awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | CC0-1.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [vosk-api](/tools/alphacep-vosk-api.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 27d | 134d | | Open issues (now) | 600 | 7 | | Owner type | Organization | User | | Full report | [trust report](/tools/alphacep-vosk-api/trust.md) | [trust report](/tools/sindresorhus-awesome-whisper/trust.md) | ## Decision facts: vosk-api - **Adopt for:** Vosk-api is an offline speech recognition toolkit enabling continuous large-vocabulary transcription for over 20 languages, fitting onto small devices while offering speaker identification. ## Decision facts: awesome-whisper - **Adopt for:** awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools. ## Choose when ### Choose vosk-api if… - License: vosk-api is Apache-2.0, awesome-whisper is CC0-1.0. - Tags unique to vosk-api: android, asr, deep-learning, deeplearning. - When offline operation is required as Vosk operates without internet connection ### Choose awesome-whisper if… - License: awesome-whisper is CC0-1.0, vosk-api is Apache-2.0. - Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai. - When seeking curated information on Whisper variants optimized for various platforms and languages ## When NOT to use vosk-api - When the project requires real-time transcription with high accuracy, possibly surpassing Vosk's performance limitations - For projects limited to languages not currently supported by Vosk's model lineup - If the application necessitates a cloud solution or benefits from regular over-the-air updates and improvements ## When NOT to use awesome-whisper - If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem - In cases where the focus is on using pre-integrated solutions without the need for model customization ## Common questions ### What is the difference between vosk-api and awesome-whisper? vosk-api: Offline speech recognition API. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories. ### When should I choose vosk-api over awesome-whisper? Choose vosk-api over awesome-whisper when License: vosk-api is Apache-2.0, awesome-whisper is CC0-1.0; Tags unique to vosk-api: android, asr, deep-learning, deeplearning; When offline operation is required as Vosk operates without internet connection. ### When should I choose awesome-whisper over vosk-api? Choose awesome-whisper over vosk-api when License: awesome-whisper is CC0-1.0, vosk-api is Apache-2.0; Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai; When seeking curated information on Whisper variants optimized for various platforms and languages. ### When should I avoid vosk-api? When the project requires real-time transcription with high accuracy, possibly surpassing Vosk's performance limitations For projects limited to languages not currently supported by Vosk's model lineup If the application necessitates a cloud solution or benefits from regular over-the-air updates and improvements ### When should I avoid awesome-whisper? If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem In cases where the focus is on using pre-integrated solutions without the need for model customization ### Is vosk-api or awesome-whisper more popular on GitHub? vosk-api has more GitHub stars (15,013 vs 2,361). Stars measure visibility, not whether either tool fits your constraints. ### Are vosk-api and awesome-whisper open source? Yes - both are open-source projects on GitHub (vosk-api: Apache-2.0, awesome-whisper: CC0-1.0). ### Where can I find alternatives to vosk-api or awesome-whisper? GraphCanon lists graph-backed alternatives at [vosk-api alternatives](/tools/alphacep-vosk-api/alternatives) and [awesome-whisper alternatives](/tools/sindresorhus-awesome-whisper/alternatives) ([vosk-api markdown twin](/tools/alphacep-vosk-api/alternatives.md), [awesome-whisper markdown twin](/tools/sindresorhus-awesome-whisper/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/alphacep-vosk-api-vs-sindresorhus-awesome-whisper.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, vosk-api or awesome-whisper? vosk-api: Active. awesome-whisper: 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 vosk-api and awesome-whisper? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [vosk-api trust report](/tools/alphacep-vosk-api/trust); [awesome-whisper trust report](/tools/sindresorhus-awesome-whisper/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alphacep-vosk-api`](/api/graphcanon/graph?tool=alphacep-vosk-api) - 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/_