--- title: "ASRT_SpeechRecognition vs auto-subs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nl8590687-asrt-speechrecognition-vs-tmoroney-auto-subs" tools: ["nl8590687-asrt-speechrecognition", "tmoroney-auto-subs"] --- # ASRT_SpeechRecognition vs auto-subs *GraphCanon updated Jul 11, 2026* ## Verdict Pick ASRT_SpeechRecognition when aSRT_SpeechRecognition is primarily Python; auto-subs is TypeScript; pick auto-subs when auto-subs is primarily TypeScript; ASRT_SpeechRecognition is Python. [ASRT_SpeechRecognition](https://www.ailemon.net/asrt) reports 8.4k GitHub stars, 1.9k forks, and 115 open issues, last pushed Apr 10, 2026. [auto-subs](https://tom-moroney.com/auto-subs/) has 3.8k stars, 245 forks, and 216 open issues, last pushed Jul 4, 2026. Figures are from public GitHub metadata via [ASRT_SpeechRecognition's repository](https://github.com/nl8590687/ASRT_SpeechRecognition) and [auto-subs's repository](https://github.com/tmoroney/auto-subs). | | [ASRT_SpeechRecognition](/tools/nl8590687-asrt-speechrecognition.md) | [auto-subs](/tools/tmoroney-auto-subs.md) | | --- | --- | --- | | Tagline | A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统 | On-device subtitle generation that connects directly to DaVinci Resolve, Premiere, and After Effects. | | Stars | 8,372 | 3,796 | | Forks | 1,898 | 245 | | Open issues | 115 | 216 | | Language | Python | TypeScript | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | MIT | | Categories | Model Training, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ASRT_SpeechRecognition](/tools/nl8590687-asrt-speechrecognition.md) | [auto-subs](/tools/tmoroney-auto-subs.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 91d | 6d | | Open issues (now) | 115 | 216 | | Security scan | 74 low (74 low) | No lockfile | | Full report | [trust report](/tools/nl8590687-asrt-speechrecognition/trust.md) | [trust report](/tools/tmoroney-auto-subs/trust.md) | ## Choose when ### Choose ASRT_SpeechRecognition if… - ASRT_SpeechRecognition is primarily Python; auto-subs is TypeScript. - License: ASRT_SpeechRecognition is GPL-3.0, auto-subs is MIT. - Tags unique to ASRT_SpeechRecognition: python3, chinese-speech-recognition, python, cnn. - Also covers Model Training. - ASRT_SpeechRecognition ships Docker support for self-hosted deployment. ### Choose auto-subs if… - auto-subs is primarily TypeScript; ASRT_SpeechRecognition is Python. - License: auto-subs is MIT, ASRT_SpeechRecognition is GPL-3.0. - Tags unique to auto-subs: davinci-resolve, ai, speech-to-text, cross-platform. ## When NOT to use ASRT_SpeechRecognition - Last GitHub push was 92 days ago (slowing maintenance, Apr 10, 2026). Validate activity before betting a new project on ASRT_SpeechRecognition. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between ASRT_SpeechRecognition and auto-subs? ASRT_SpeechRecognition: A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统. auto-subs: On-device subtitle generation that connects directly to DaVinci Resolve, Premiere, and After Effects.. See the comparison table for live GitHub stats and shared categories. ### When should I choose ASRT_SpeechRecognition over auto-subs? Choose ASRT_SpeechRecognition over auto-subs when ASRT_SpeechRecognition is primarily Python; auto-subs is TypeScript; License: ASRT_SpeechRecognition is GPL-3.0, auto-subs is MIT; Tags unique to ASRT_SpeechRecognition: python3, chinese-speech-recognition, python, cnn; Also covers Model Training; ASRT_SpeechRecognition ships Docker support for self-hosted deployment. ### When should I choose auto-subs over ASRT_SpeechRecognition? Choose auto-subs over ASRT_SpeechRecognition when auto-subs is primarily TypeScript; ASRT_SpeechRecognition is Python; License: auto-subs is MIT, ASRT_SpeechRecognition is GPL-3.0; Tags unique to auto-subs: davinci-resolve, ai, speech-to-text, cross-platform. ### When should I avoid ASRT_SpeechRecognition? Last GitHub push was 92 days ago (slowing maintenance, Apr 10, 2026). Validate activity before betting a new project on ASRT_SpeechRecognition. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is ASRT_SpeechRecognition or auto-subs more popular on GitHub? ASRT_SpeechRecognition has more GitHub stars (8,372 vs 3,796). Stars measure visibility, not whether either tool fits your constraints. ### Are ASRT_SpeechRecognition and auto-subs open source? Yes - both are open-source projects on GitHub (ASRT_SpeechRecognition: GPL-3.0, auto-subs: MIT). ### Where can I find alternatives to ASRT_SpeechRecognition or auto-subs? GraphCanon lists graph-backed alternatives at [ASRT_SpeechRecognition alternatives](/tools/nl8590687-asrt-speechrecognition/alternatives) and [auto-subs alternatives](/tools/tmoroney-auto-subs/alternatives) ([ASRT_SpeechRecognition markdown twin](/tools/nl8590687-asrt-speechrecognition/alternatives.md), [auto-subs markdown twin](/tools/tmoroney-auto-subs/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/nl8590687-asrt-speechrecognition-vs-tmoroney-auto-subs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ASRT_SpeechRecognition or auto-subs? ASRT_SpeechRecognition: Slowing. auto-subs: Very 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 ASRT_SpeechRecognition and auto-subs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ASRT_SpeechRecognition trust report](/tools/nl8590687-asrt-speechrecognition/trust); [auto-subs trust report](/tools/tmoroney-auto-subs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=nl8590687-asrt-speechrecognition`](/api/graphcanon/graph?tool=nl8590687-asrt-speechrecognition) - 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/_