--- title: "FunClip vs auto-subs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/modelscope-funclip-vs-tmoroney-auto-subs" tools: ["modelscope-funclip", "tmoroney-auto-subs"] --- # FunClip vs auto-subs *GraphCanon updated Jul 30, 2026* ## Verdict Pick FunClip if funClip is a Python-based video transcription and subtitle generation tool with local Gradio UI interface that leverages ASR technology, offering alternatives to Whisper while supporting LLM-assisted functionalities; 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. [FunClip](https://huggingface.co/spaces/FunAudioLLM/FunClip) reports 6.1k GitHub stars, 731 forks, and 0 open issues, last pushed Jul 29, 2026. [auto-subs](https://tom-moroney.com/auto-subs/) has 3.9k stars, 254 forks, and 198 open issues, last pushed Jul 30, 2026. Figures are from public GitHub metadata via [FunClip's repository](https://github.com/modelscope/FunClip) and [auto-subs's repository](https://github.com/tmoroney/auto-subs). | | [FunClip](/tools/modelscope-funclip.md) | [auto-subs](/tools/tmoroney-auto-subs.md) | | --- | --- | --- | | Tagline | A video transcription and subtitle generation tool with LLM-assisted functionality. | On-device subtitle generation for video editing software. | | Stars | 6,085 | 3,939 | | Forks | 731 | 254 | | Open issues | 0 | 198 | | Language | Python | TypeScript | | Adopt for | FunClip is a Python-based video transcription and subtitle generation tool with local Gradio UI interface that leverages ASR technology, offering alternatives to Whisper while supporting LLM-assisted functionalities. | Auto-subs is an on-device subtitle generation tool built with TypeScript and Rust for seamless integration with DaVinci Resolve, Premiere, and After Effects. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools, Speech & Audio | Developer Tools, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FunClip](/tools/modelscope-funclip.md) | [auto-subs](/tools/tmoroney-auto-subs.md) | | --- | --- | --- | | Open issues (now) | 0 | 198 | | Owner type | Organization | User | | Full report | [trust report](/tools/modelscope-funclip/trust.md) | [trust report](/tools/tmoroney-auto-subs/trust.md) | ## Decision facts: FunClip - **Adopt for:** FunClip is a Python-based video transcription and subtitle generation tool with local Gradio UI interface that leverages ASR technology, offering alternatives to Whisper while supporting LLM-assisted functionalities. ## 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. ## Choose when ### Choose FunClip if… - FunClip is primarily Python; auto-subs is TypeScript. - Tags unique to FunClip: ai-video-editing, asr, auto-subtitles, funclip. - When you need to transcribe videos in Chinese, as FunClip may have optimized speech recognition for the language. ### Choose auto-subs if… - auto-subs is primarily TypeScript; FunClip is Python. - 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. - Use Auto-subs when you need seamless subtitle integration directly within video editing software like DaVinci Resolve, Premiere, or After Effects. ## When NOT to use FunClip - When the primary focus is on extensive video editing features beyond subtitle embedding, as FunClip primarily serves speech-to-text transcription needs. - For projects that strictly avoid installing external tools, such as ffmpeg and imagemagick, necessary for full functionality. - If you need real-time processing or a cloud-based service rather than a tool that runs locally via its Gradio interface. ## 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. ## Common questions ### What is the difference between FunClip and auto-subs? FunClip: A video transcription and subtitle generation tool with LLM-assisted functionality.. auto-subs: On-device subtitle generation for video editing software.. See the comparison table for live GitHub stats and shared categories. ### When should I choose FunClip over auto-subs? Choose FunClip over auto-subs when FunClip is primarily Python; auto-subs is TypeScript; Tags unique to FunClip: ai-video-editing, asr, auto-subtitles, funclip; When you need to transcribe videos in Chinese, as FunClip may have optimized speech recognition for the language. ### When should I choose auto-subs over FunClip? Choose auto-subs over FunClip when auto-subs is primarily TypeScript; FunClip is Python; 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; Use Auto-subs when you need seamless subtitle integration directly within video editing software like DaVinci Resolve, Premiere, or After Effects. ### When should I avoid FunClip? When the primary focus is on extensive video editing features beyond subtitle embedding, as FunClip primarily serves speech-to-text transcription needs. For projects that strictly avoid installing external tools, such as ffmpeg and imagemagick, necessary for full functionality. If you need real-time processing or a cloud-based service rather than a tool that runs locally via its Gradio interface. ### 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. ### Is FunClip or auto-subs more popular on GitHub? FunClip has more GitHub stars (6,085 vs 3,939). Stars measure visibility, not whether either tool fits your constraints. ### Are FunClip and auto-subs open source? Yes - both are open-source projects on GitHub (FunClip: MIT, auto-subs: MIT). ### Where can I find alternatives to FunClip or auto-subs? GraphCanon lists graph-backed alternatives at [FunClip alternatives](/tools/modelscope-funclip/alternatives) and [auto-subs alternatives](/tools/tmoroney-auto-subs/alternatives) ([FunClip markdown twin](/tools/modelscope-funclip/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/modelscope-funclip-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, FunClip or auto-subs? FunClip: Very active. 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 FunClip and auto-subs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FunClip trust report](/tools/modelscope-funclip/trust); [auto-subs trust report](/tools/tmoroney-auto-subs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=modelscope-funclip`](/api/graphcanon/graph?tool=modelscope-funclip) - 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/_