--- title: "FunClip vs whishper" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/modelscope-funclip-vs-pluja-whishper" tools: ["modelscope-funclip", "pluja-whishper"] --- # FunClip vs whishper *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 whishper if whishper is an open-source audio transcription and subtitling suite with a web UI that supports both GPU and CPU for local transcription. [FunClip](https://huggingface.co/spaces/FunAudioLLM/FunClip) reports 6.1k GitHub stars, 731 forks, and 0 open issues, last pushed Jul 29, 2026. [whishper](https://whishper-docs.pages.dev/) has 3.0k stars, 179 forks, and 108 open issues, last pushed Aug 15, 2025. Figures are from public GitHub metadata via [FunClip's repository](https://github.com/modelscope/FunClip) and [whishper's repository](https://github.com/pluja/whishper). | | [FunClip](/tools/modelscope-funclip.md) | [whishper](/tools/pluja-whishper.md) | | --- | --- | --- | | Tagline | A video transcription and subtitle generation tool with LLM-assisted functionality. | Open-source local audio transcription and subtitling suite with web UI | | Stars | 6,085 | 3,048 | | Forks | 731 | 179 | | Open issues | 0 | 108 | | Language | Python | Svelte | | 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. | Whishper is an open-source audio transcription and subtitling suite with a web UI that supports both GPU and CPU for local transcription. | | Persona | - | - | | Runtime | - | - | | License | MIT | Whishper uses the AGPL-3.0 license, requiring users who modify and deploy the software in a network service to make their changes available under the same license. | | 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) | [whishper](/tools/pluja-whishper.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 348d | | Open issues (now) | 0 | 108 | | Owner type | Organization | User | | Full report | [trust report](/tools/modelscope-funclip/trust.md) | [trust report](/tools/pluja-whishper/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: whishper - **Pricing:** freemium - Free, open-source solution that does not charge for usage or require payment plans. - **Requirements:** Min 4 GB RAM; Requires Docker; Supports both GPU and CPU for processing.; NVIDIA GPU is optional. - **Adopt for:** Whishper is an open-source audio transcription and subtitling suite with a web UI that supports both GPU and CPU for local transcription. - **License detail:** Whishper uses the AGPL-3.0 license, requiring users who modify and deploy the software in a network service to make their changes available under the same license. ## Choose when ### Choose FunClip if… - FunClip is primarily Python; whishper is Svelte. - License: FunClip is MIT, whishper is AGPL-3.0. - 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 whishper if… - whishper is primarily Svelte; FunClip is Python. - License: whishper is AGPL-3.0, FunClip is MIT. - Pricing: Free, open-source solution that does not charge for usage or require payment plans.. - Requirements: Min 4 GB RAM; Requires Docker; Supports both GPU and CPU for processing.; NVIDIA GPU is optional.. - Tags unique to whishper: audio-to-text, golang, speech-to-text, subtitles. - whishper ships Docker support for self-hosted deployment. - When you need to transcribe media files locally without sending data to external servers, ensuring privacy. ## 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 whishper - When real-time transcription accuracy outweighs local processing needs, because while faster on CPU, it may not offer the same level of immediate precision as cloud-based solutions. - If your project is resource-constrained, especially in terms of development time and effort required for setup since Whishper involves a few manual steps to start using. - When direct audio input from web browsers is necessary because this feature is pending implementation. ## Common questions ### What is the difference between FunClip and whishper? FunClip: A video transcription and subtitle generation tool with LLM-assisted functionality.. whishper: Open-source local audio transcription and subtitling suite with web UI. See the comparison table for live GitHub stats and shared categories. ### When should I choose FunClip over whishper? Choose FunClip over whishper when FunClip is primarily Python; whishper is Svelte; License: FunClip is MIT, whishper is AGPL-3.0; 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 whishper over FunClip? Choose whishper over FunClip when whishper is primarily Svelte; FunClip is Python; License: whishper is AGPL-3.0, FunClip is MIT; Pricing: Free, open-source solution that does not charge for usage or require payment plans.; Requirements: Min 4 GB RAM; Requires Docker; Supports both GPU and CPU for processing.; NVIDIA GPU is optional.; Tags unique to whishper: audio-to-text, golang, speech-to-text, subtitles; whishper ships Docker support for self-hosted deployment; When you need to transcribe media files locally without sending data to external servers, ensuring privacy. ### 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 whishper? When real-time transcription accuracy outweighs local processing needs, because while faster on CPU, it may not offer the same level of immediate precision as cloud-based solutions. If your project is resource-constrained, especially in terms of development time and effort required for setup since Whishper involves a few manual steps to start using. When direct audio input from web browsers is necessary because this feature is pending implementation. ### Is FunClip or whishper more popular on GitHub? FunClip has more GitHub stars (6,085 vs 3,048). Stars measure visibility, not whether either tool fits your constraints. ### Are FunClip and whishper open source? Yes - both are open-source projects on GitHub (FunClip: MIT, whishper: AGPL-3.0). ### Where can I find alternatives to FunClip or whishper? GraphCanon lists graph-backed alternatives at [FunClip alternatives](/tools/modelscope-funclip/alternatives) and [whishper alternatives](/tools/pluja-whishper/alternatives) ([FunClip markdown twin](/tools/modelscope-funclip/alternatives.md), [whishper markdown twin](/tools/pluja-whishper/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-pluja-whishper.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FunClip or whishper? FunClip: Very active. whishper: Slowing. 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 whishper? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FunClip trust report](/tools/modelscope-funclip/trust); [whishper trust report](/tools/pluja-whishper/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/_