--- title: "awesome-whisper vs speech_recognition" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/sindresorhus-awesome-whisper-vs-uberi-speech-recognition" tools: ["sindresorhus-awesome-whisper", "uberi-speech-recognition"] --- # awesome-whisper vs speech_recognition *GraphCanon updated Jul 30, 2026* ## Verdict 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; pick speech_recognition if speech_recognition is a Python library providing support for speech recognition across multiple engines and APIs. [awesome-whisper](https://github.com/sindresorhus/awesome-whisper) reports 2.4k GitHub stars, 156 forks, and 7 open issues, last pushed Mar 17, 2026. [speech_recognition](https://pypi.python.org/pypi/SpeechRecognition/) has 9.0k stars, 2.4k forks, and 312 open issues, last pushed Jun 16, 2026. Figures are from public GitHub metadata via [awesome-whisper's repository](https://github.com/sindresorhus/awesome-whisper) and [speech_recognition's repository](https://github.com/Uberi/speech_recognition). | | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | [speech_recognition](/tools/uberi-speech-recognition.md) | | --- | --- | --- | | Tagline | Curated resources for Whisper speech recognition system | Speech recognition module for Python | | Stars | 2,361 | 8,977 | | Forks | 156 | 2,415 | | Open issues | 7 | 312 | | Language | - | Python | | 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. | speech_recognition is a Python library providing support for speech recognition across multiple engines and APIs. | | Persona | - | - | | Runtime | - | - | | License | CC0-1.0 | BSD-3-Clause | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | [speech_recognition](/tools/uberi-speech-recognition.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 134d | 43d | | Open issues (now) | 7 | 312 | | Full report | [trust report](/tools/sindresorhus-awesome-whisper/trust.md) | [trust report](/tools/uberi-speech-recognition/trust.md) | ## 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. ## Decision facts: speech_recognition - **Pricing:** freemium - The library itself is free and open-source, but costs might arise from using third-party speech recognition services it supports. - **Adopt for:** speech_recognition is a Python library providing support for speech recognition across multiple engines and APIs. - **License detail:** BSD-3-Clause ## Choose when ### Choose awesome-whisper if… - License: awesome-whisper is CC0-1.0, speech_recognition is BSD-3-Clause. - Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai. - When seeking curated information on Whisper variants optimized for various platforms and languages ### Choose speech_recognition if… - License: speech_recognition is BSD-3-Clause, awesome-whisper is CC0-1.0. - Pricing: The library itself is free and open-source, but costs might arise from using third-party speech recognition services it supports.. - Tags unique to speech_recognition: audio, python, speech-recognition. - Use when you need an open-source solution with broad engine compatibility, supporting both online and offline modes. ## 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 ## When NOT to use speech_recognition - Avoid if your project mandates real-time, low-latency processing exclusively, since some of the supported engines might have higher latency. - Do not use if strict accuracy in speaker diarization is crucial; competing APIs like Recall.ai may offer better speaker identification features. ## Common questions ### What is the difference between awesome-whisper and speech_recognition? awesome-whisper: Curated resources for Whisper speech recognition system. speech_recognition: Speech recognition module for Python. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-whisper over speech_recognition? Choose awesome-whisper over speech_recognition when License: awesome-whisper is CC0-1.0, speech_recognition is BSD-3-Clause; 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 choose speech_recognition over awesome-whisper? Choose speech_recognition over awesome-whisper when License: speech_recognition is BSD-3-Clause, awesome-whisper is CC0-1.0; Pricing: The library itself is free and open-source, but costs might arise from using third-party speech recognition services it supports.; Tags unique to speech_recognition: audio, python, speech-recognition; Use when you need an open-source solution with broad engine compatibility, supporting both online and offline modes. ### 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 ### When should I avoid speech_recognition? Avoid if your project mandates real-time, low-latency processing exclusively, since some of the supported engines might have higher latency. Do not use if strict accuracy in speaker diarization is crucial; competing APIs like Recall.ai may offer better speaker identification features. ### Is awesome-whisper or speech_recognition more popular on GitHub? speech_recognition has more GitHub stars (8,977 vs 2,361). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-whisper and speech_recognition open source? Yes - both are open-source projects on GitHub (awesome-whisper: CC0-1.0, speech_recognition: BSD-3-Clause). ### Where can I find alternatives to awesome-whisper or speech_recognition? GraphCanon lists graph-backed alternatives at [awesome-whisper alternatives](/tools/sindresorhus-awesome-whisper/alternatives) and [speech_recognition alternatives](/tools/uberi-speech-recognition/alternatives) ([awesome-whisper markdown twin](/tools/sindresorhus-awesome-whisper/alternatives.md), [speech_recognition markdown twin](/tools/uberi-speech-recognition/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/sindresorhus-awesome-whisper-vs-uberi-speech-recognition.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-whisper or speech_recognition? awesome-whisper: Slowing. speech_recognition: Steady. 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 awesome-whisper and speech_recognition? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-whisper trust report](/tools/sindresorhus-awesome-whisper/trust); [speech_recognition trust report](/tools/uberi-speech-recognition/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=sindresorhus-awesome-whisper`](/api/graphcanon/graph?tool=sindresorhus-awesome-whisper) - 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/_