--- title: "annyang vs speech_recognition" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/talater-annyang-vs-uberi-speech-recognition" tools: ["talater-annyang", "uberi-speech-recognition"] --- # annyang vs speech_recognition *GraphCanon updated Jul 30, 2026* ## Verdict Pick annyang if annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library; pick speech_recognition if speech_recognition is a Python library providing support for speech recognition across multiple engines and APIs. [annyang](https://www.talater.com/annyang/) reports 6.8k GitHub stars, 1.0k forks, and 10 open issues, last pushed Jul 14, 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 [annyang's repository](https://github.com/TalAter/annyang) and [speech_recognition's repository](https://github.com/Uberi/speech_recognition). | | [annyang](/tools/talater-annyang.md) | [speech_recognition](/tools/uberi-speech-recognition.md) | | --- | --- | --- | | Tagline | Speech recognition for your site | Speech recognition module for Python | | Stars | 6,818 | 8,977 | | Forks | 1,048 | 2,415 | | Open issues | 10 | 312 | | Language | TypeScript | Python | | Adopt for | annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. | speech_recognition is a Python library providing support for speech recognition across multiple engines and APIs. | | Persona | - | - | | Runtime | - | - | | License | MIT License: Permissive free software license notice that gives users the freedom to modify and redistribute as long as they provide source credit. | BSD-3-Clause | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [annyang](/tools/talater-annyang.md) | [speech_recognition](/tools/uberi-speech-recognition.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 15d | 43d | | Open issues (now) | 10 | 312 | | Full report | [trust report](/tools/talater-annyang/trust.md) | [trust report](/tools/uberi-speech-recognition/trust.md) | ## Decision facts: annyang - **Pricing:** freemium - Available at no charge with an open-source MIT license, making it suitable for both personal and commercial projects. - **Adopt for:** annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. - **License detail:** MIT License: Permissive free software license notice that gives users the freedom to modify and redistribute as long as they provide source credit. ## 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 annyang if… - annyang is primarily TypeScript; speech_recognition is Python. - License: annyang is MIT, speech_recognition is BSD-3-Clause. - Pricing: Available at no charge with an open-source MIT license, making it suitable for both personal and commercial projects.. - Tags unique to annyang: mit-license, speech, voice. - When you are working on a project that requires integrating voice commands into a website and your tech stack already includes TypeScript or JavaScript. ### Choose speech_recognition if… - speech_recognition is primarily Python; annyang is TypeScript. - License: speech_recognition is BSD-3-Clause, annyang is MIT. - 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. - Use when you need an open-source solution with broad engine compatibility, supporting both online and offline modes. ## When NOT to use annyang - If the project requires a high level of speech recognition accuracy in noisy environments, as annyang might not perform optimally under such conditions. - For applications demanding real-time transcription with low latency, considering that annang may introduce some delay which could be critical for certain use cases. ## 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 annyang and speech_recognition? annyang: Speech recognition for your site. speech_recognition: Speech recognition module for Python. See the comparison table for live GitHub stats and shared categories. ### When should I choose annyang over speech_recognition? Choose annyang over speech_recognition when annyang is primarily TypeScript; speech_recognition is Python; License: annyang is MIT, speech_recognition is BSD-3-Clause; Pricing: Available at no charge with an open-source MIT license, making it suitable for both personal and commercial projects.; Tags unique to annyang: mit-license, speech, voice; When you are working on a project that requires integrating voice commands into a website and your tech stack already includes TypeScript or JavaScript. ### When should I choose speech_recognition over annyang? Choose speech_recognition over annyang when speech_recognition is primarily Python; annyang is TypeScript; License: speech_recognition is BSD-3-Clause, annyang is MIT; 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; Use when you need an open-source solution with broad engine compatibility, supporting both online and offline modes. ### When should I avoid annyang? If the project requires a high level of speech recognition accuracy in noisy environments, as annyang might not perform optimally under such conditions. For applications demanding real-time transcription with low latency, considering that annang may introduce some delay which could be critical for certain use cases. ### 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 annyang or speech_recognition more popular on GitHub? speech_recognition has more GitHub stars (8,977 vs 6,818). Stars measure visibility, not whether either tool fits your constraints. ### Are annyang and speech_recognition open source? Yes - both are open-source projects on GitHub (annyang: MIT, speech_recognition: BSD-3-Clause). ### Where can I find alternatives to annyang or speech_recognition? GraphCanon lists graph-backed alternatives at [annyang alternatives](/tools/talater-annyang/alternatives) and [speech_recognition alternatives](/tools/uberi-speech-recognition/alternatives) ([annyang markdown twin](/tools/talater-annyang/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/talater-annyang-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, annyang or speech_recognition? annyang: Active. 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 annyang and speech_recognition? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [annyang trust report](/tools/talater-annyang/trust); [speech_recognition trust report](/tools/uberi-speech-recognition/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=talater-annyang`](/api/graphcanon/graph?tool=talater-annyang) - 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/_