--- title: "auto-subs vs LLPlayer" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/tmoroney-auto-subs-vs-umlx5h-llplayer" tools: ["tmoroney-auto-subs", "umlx5h-llplayer"] --- # auto-subs vs LLPlayer *GraphCanon updated Sep 20, 2026* ## Verdict Pick auto-subs if auto-subs is an on-device subtitle generation tool built with TypeScript and Rust for seamless integration with DaVinci Resolve, Premiere, and After Effects; pick LLPlayer if lLPlayer is a C# media player for language learning that features dual subtitles, AI-generated subtitles, and real-time translation using ASR, OCR, and Whisper engine. [auto-subs](https://tom-moroney.com/auto-subs/) reports 4.3k GitHub stars, 284 forks, and 295 open issues, last pushed Sep 19, 2026. [LLPlayer](https://llplayer.com) has 4.2k stars, 247 forks, and 60 open issues, last pushed Sep 10, 2026. Figures are from public GitHub metadata via [auto-subs's repository](https://github.com/tmoroney/auto-subs) and [LLPlayer's repository](https://github.com/umlx5h/LLPlayer). | | [auto-subs](/tools/tmoroney-auto-subs.md) | [LLPlayer](/tools/umlx5h-llplayer.md) | | --- | --- | --- | | Tagline | On-device subtitle generation for video editing software. | Media player for language learning featuring dual subtitles, AI-generated subtitles and real-time translation | | Stars | 4,250 | 4,188 | | Forks | 284 | 247 | | Open issues | 295 | 60 | | Language | TypeScript | C# | | Adopt for | Auto-subs is an on-device subtitle generation tool built with TypeScript and Rust for seamless integration with DaVinci Resolve, Premiere, and After Effects. | LLPlayer is a C# media player for language learning that features dual subtitles, AI-generated subtitles, and real-time translation using ASR, OCR, and Whisper engine. | | Persona | - | - | | Runtime | - | - | | License | MIT | GPL-3.0 | | Categories | Developer Tools, Speech & Audio | Evaluation & Observability, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [auto-subs](/tools/tmoroney-auto-subs.md) | [LLPlayer](/tools/umlx5h-llplayer.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 9d | | Open issues (now) | 295 | 60 | | Stars delta | +311 (30d) | +161 (30d) | | Open issues delta | +97 (30d) | 0 (30d) | | Full report | [trust report](/tools/tmoroney-auto-subs/trust.md) | [trust report](/tools/umlx5h-llplayer/trust.md) | ## Decision facts: auto-subs - **Pricing:** freemium - Freely downloadable under the MIT license but consider supporting the developer for continued improvements. - **Requirements:** Min 4 GB RAM - **Adopt for:** Auto-subs is an on-device subtitle generation tool built with TypeScript and Rust for seamless integration with DaVinci Resolve, Premiere, and After Effects. ## Decision facts: LLPlayer - **Adopt for:** LLPlayer is a C# media player for language learning that features dual subtitles, AI-generated subtitles, and real-time translation using ASR, OCR, and Whisper engine. ## Choose when ### Choose auto-subs if… - auto-subs is primarily TypeScript; LLPlayer is C#. - License: auto-subs is MIT, LLPlayer is GPL-3.0. - Pricing: Freely downloadable under the MIT license but consider supporting the developer for continued improvements.. - Requirements: Min 4 GB RAM. - Tags unique to auto-subs: ai, cross-platform, davinci-resolve, premiere. - Also covers Developer Tools. - Use Auto-subs when you need seamless subtitle integration directly within video editing software like DaVinci Resolve, Premiere, or After Effects. ### Choose LLPlayer if… - LLPlayer is primarily C#; auto-subs is TypeScript. - License: LLPlayer is GPL-3.0, auto-subs is MIT. - Tags unique to LLPlayer: asr, language-learning, ocr, whisper. - Also covers Evaluation & Observability. - When you need an application that runs on Windows 10 x64 Version 1903 or later and has a robust suite of tools for language learning through video media. ## When NOT to use auto-subs - Do not use Auto-subs if the requirement is for cloud-based real-time speech-to-text functionality as it operates entirely on-device. - Avoid using Auto-subs in environments where Python or other languages are required over TypeScript and Rust due to potential compatibility issues. ## When NOT to use LLPlayer - When you do not have access to Windows x64 operating systems or if you lack the necessary Microsoft Visual C++ redistributable version greater than or equal to 2022. - If you are looking for a solution that does not require additional software installations like.NET Desktop Runtime and CUDA Toolkit for optimal performance. ## Common questions ### What is the difference between auto-subs and LLPlayer? auto-subs: On-device subtitle generation for video editing software.. LLPlayer: Media player for language learning featuring dual subtitles, AI-generated subtitles and real-time translation. See the comparison table for live GitHub stats and shared categories. ### When should I choose auto-subs over LLPlayer? Choose auto-subs over LLPlayer when auto-subs is primarily TypeScript; LLPlayer is C#; License: auto-subs is MIT, LLPlayer is GPL-3.0; Pricing: Freely downloadable under the MIT license but consider supporting the developer for continued improvements.; Requirements: Min 4 GB RAM; Tags unique to auto-subs: ai, cross-platform, davinci-resolve, premiere; Also covers Developer Tools; Use Auto-subs when you need seamless subtitle integration directly within video editing software like DaVinci Resolve, Premiere, or After Effects. ### When should I choose LLPlayer over auto-subs? Choose LLPlayer over auto-subs when LLPlayer is primarily C#; auto-subs is TypeScript; License: LLPlayer is GPL-3.0, auto-subs is MIT; Tags unique to LLPlayer: asr, language-learning, ocr, whisper; Also covers Evaluation & Observability; When you need an application that runs on Windows 10 x64 Version 1903 or later and has a robust suite of tools for language learning through video media. ### When should I avoid auto-subs? Do not use Auto-subs if the requirement is for cloud-based real-time speech-to-text functionality as it operates entirely on-device. Avoid using Auto-subs in environments where Python or other languages are required over TypeScript and Rust due to potential compatibility issues. ### When should I avoid LLPlayer? When you do not have access to Windows x64 operating systems or if you lack the necessary Microsoft Visual C++ redistributable version greater than or equal to 2022. If you are looking for a solution that does not require additional software installations like.NET Desktop Runtime and CUDA Toolkit for optimal performance. ### Is auto-subs or LLPlayer more popular on GitHub? auto-subs has more GitHub stars (4,250 vs 4,188). Stars measure visibility, not whether either tool fits your constraints. ### Are auto-subs and LLPlayer open source? Yes - both are open-source projects on GitHub (auto-subs: MIT, LLPlayer: GPL-3.0). ### Where can I find alternatives to auto-subs or LLPlayer? GraphCanon lists graph-backed alternatives at [auto-subs alternatives](/tools/tmoroney-auto-subs/alternatives) and [LLPlayer alternatives](/tools/umlx5h-llplayer/alternatives) ([auto-subs markdown twin](/tools/tmoroney-auto-subs/alternatives.md), [LLPlayer markdown twin](/tools/umlx5h-llplayer/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/tmoroney-auto-subs-vs-umlx5h-llplayer.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, auto-subs or LLPlayer? auto-subs: Very active. LLPlayer: 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 auto-subs and LLPlayer? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [auto-subs trust report](/tools/tmoroney-auto-subs/trust); [LLPlayer trust report](/tools/umlx5h-llplayer/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=tmoroney-auto-subs`](/api/graphcanon/graph?tool=tmoroney-auto-subs) - 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/_