--- title: "auto-subs vs short-video-factory" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/tmoroney-auto-subs-vs-yils-lin-short-video-factory" tools: ["tmoroney-auto-subs", "yils-lin-short-video-factory"] --- # auto-subs vs short-video-factory *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 short-video-factory if short-video-factory is an AGPL-3.0 licensed TypeScript tool for automated AI clipping to generate product marketing and general content videos quickly on cross-platform desktops. [auto-subs](https://tom-moroney.com/auto-subs/) reports 4.3k GitHub stars, 284 forks, and 295 open issues, last pushed Sep 19, 2026. [short-video-factory](https://short-video-factory.yils.blog) has 5.5k stars, 769 forks, and 29 open issues, last pushed Sep 16, 2026. Figures are from public GitHub metadata via [auto-subs's repository](https://github.com/tmoroney/auto-subs) and [short-video-factory's repository](https://github.com/YILS-LIN/short-video-factory). | | [auto-subs](/tools/tmoroney-auto-subs.md) | [short-video-factory](/tools/yils-lin-short-video-factory.md) | | --- | --- | --- | | Tagline | On-device subtitle generation for video editing software. | One click generation of product marketing and general content short videos | | Stars | 4,250 | 5,457 | | Forks | 284 | 769 | | Open issues | 295 | 29 | | Language | TypeScript | TypeScript | | 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. | Short-video-factory is an AGPL-3.0 licensed TypeScript tool for automated AI clipping to generate product marketing and general content videos quickly on cross-platform desktops. | | Persona | - | - | | Runtime | - | - | | License | MIT | AGPL-3.0 | | Categories | Developer Tools, Speech & Audio | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [auto-subs](/tools/tmoroney-auto-subs.md) | [short-video-factory](/tools/yils-lin-short-video-factory.md) | | --- | --- | --- | | Days since push | 0d | 3d | | Open issues (now) | 295 | 29 | | Stars delta | +311 (30d) | +353 (30d) | | Open issues delta | +97 (30d) | -2 (30d) | | Full report | [trust report](/tools/tmoroney-auto-subs/trust.md) | [trust report](/tools/yils-lin-short-video-factory/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: short-video-factory - **Adopt for:** Short-video-factory is an AGPL-3.0 licensed TypeScript tool for automated AI clipping to generate product marketing and general content videos quickly on cross-platform desktops. ## Choose when ### Choose auto-subs if… - License: auto-subs is MIT, short-video-factory is AGPL-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: davinci-resolve, premiere, rust, speech-to-text. - Also covers Speech & Audio. - Use Auto-subs when you need seamless subtitle integration directly within video editing software like DaVinci Resolve, Premiere, or After Effects. ### Choose short-video-factory if… - License: short-video-factory is AGPL-3.0, auto-subs is MIT. - Tags unique to short-video-factory: automatic, automation, clipping, desktop. - Also covers Model Training. - When needing rapid creation of marketing short videos across multiple platforms without complex setup ## 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 short-video-factory - If flexibility in customizing AI-generated video styles is critical, as the tool may have limited style options - When requiring a web-based interface for mobile or cloud operations instead of desktop use ## Common questions ### What is the difference between auto-subs and short-video-factory? auto-subs: On-device subtitle generation for video editing software.. short-video-factory: One click generation of product marketing and general content short videos. See the comparison table for live GitHub stats and shared categories. ### When should I choose auto-subs over short-video-factory? Choose auto-subs over short-video-factory when License: auto-subs is MIT, short-video-factory is AGPL-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: davinci-resolve, premiere, rust, speech-to-text; Also covers Speech & Audio; 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 short-video-factory over auto-subs? Choose short-video-factory over auto-subs when License: short-video-factory is AGPL-3.0, auto-subs is MIT; Tags unique to short-video-factory: automatic, automation, clipping, desktop; Also covers Model Training; When needing rapid creation of marketing short videos across multiple platforms without complex setup. ### 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 short-video-factory? If flexibility in customizing AI-generated video styles is critical, as the tool may have limited style options When requiring a web-based interface for mobile or cloud operations instead of desktop use ### Is auto-subs or short-video-factory more popular on GitHub? short-video-factory has more GitHub stars (5,457 vs 4,250). Stars measure visibility, not whether either tool fits your constraints. ### Are auto-subs and short-video-factory open source? Yes - both are open-source projects on GitHub (auto-subs: MIT, short-video-factory: AGPL-3.0). ### Where can I find alternatives to auto-subs or short-video-factory? GraphCanon lists graph-backed alternatives at [auto-subs alternatives](/tools/tmoroney-auto-subs/alternatives) and [short-video-factory alternatives](/tools/yils-lin-short-video-factory/alternatives) ([auto-subs markdown twin](/tools/tmoroney-auto-subs/alternatives.md), [short-video-factory markdown twin](/tools/yils-lin-short-video-factory/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-yils-lin-short-video-factory.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, auto-subs or short-video-factory? auto-subs: Very active. short-video-factory: 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 auto-subs and short-video-factory? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [auto-subs trust report](/tools/tmoroney-auto-subs/trust); [short-video-factory trust report](/tools/yils-lin-short-video-factory/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/_