--- title: "FunClip vs LocalAI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/modelscope-funclip-vs-mudler-localai" tools: ["modelscope-funclip", "mudler-localai"] --- # FunClip vs LocalAI *GraphCanon updated Jul 11, 2026* ## Verdict Pick FunClip when funClip is primarily Python; LocalAI is Go; pick LocalAI when localAI is primarily Go; FunClip is Python. [FunClip](https://www.funasr.com) reports 5.9k GitHub stars, 710 forks, and 0 open issues, last pushed Jul 7, 2026. [LocalAI](https://localai.io) has 47k stars, 4.2k forks, and 207 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [FunClip's repository](https://github.com/modelscope/FunClip) and [LocalAI's repository](https://github.com/mudler/LocalAI). | | [FunClip](/tools/modelscope-funclip.md) | [LocalAI](/tools/mudler-localai.md) | | --- | --- | --- | | Tagline | FunASR-powered video transcription, subtitle generation, and LLM-assisted clipping tool with a local Gradio UI. | Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required. | | Stars | 5,906 | 47,477 | | Forks | 710 | 4,221 | | Open issues | 0 | 207 | | Language | Python | Go | | Adopt for | - | LocalAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Computer Vision, LLM Frameworks, Speech & Audio | Computer Vision, LLM Frameworks, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [FunClip](/tools/modelscope-funclip.md) | [LocalAI](/tools/mudler-localai.md) | | --- | --- | --- | | Days since push | 4d | 0d | | Open issues (now) | 0 | 207 | | Owner type | Organization | User | | Security scan | 87 low (87 low) | No MCP manifest | | Full report | [trust report](/tools/modelscope-funclip/trust.md) | [trust report](/tools/mudler-localai/trust.md) | ## Decision facts: LocalAI - **Pricing:** freemium - As an open-source project under the MIT license, it is free to use and distribute. - **Adopt for:** LocalAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU. ## Choose when ### Choose FunClip if… - FunClip is primarily Python; LocalAI is Go. - Tags unique to FunClip: ai-tools, ai-video-editing, asr, auto-subtitles. - Leaner open-issue backlog (0). ### Choose LocalAI if… - LocalAI is primarily Go; FunClip is Python. - Pricing: As an open-source project under the MIT license, it is free to use and distribute.. - Tags unique to LocalAI: agents, ai, api, audio-generation. - LocalAI ships Docker support for self-hosted deployment. - Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware. ## When NOT to use FunClip - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use LocalAI - Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility. - Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written). ## Common questions ### What is the difference between FunClip and LocalAI? FunClip: FunASR-powered video transcription, subtitle generation, and LLM-assisted clipping tool with a local Gradio UI.. LocalAI: Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.. See the comparison table for live GitHub stats and shared categories. ### When should I choose FunClip over LocalAI? Choose FunClip over LocalAI when FunClip is primarily Python; LocalAI is Go; Tags unique to FunClip: ai-tools, ai-video-editing, asr, auto-subtitles; Leaner open-issue backlog (0). ### When should I choose LocalAI over FunClip? Choose LocalAI over FunClip when LocalAI is primarily Go; FunClip is Python; Pricing: As an open-source project under the MIT license, it is free to use and distribute.; Tags unique to LocalAI: agents, ai, api, audio-generation; LocalAI ships Docker support for self-hosted deployment; Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware. ### When should I avoid FunClip? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid LocalAI? Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility. Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written). ### Is FunClip or LocalAI more popular on GitHub? LocalAI has more GitHub stars (47,477 vs 5,906). Stars measure visibility, not whether either tool fits your constraints. ### Are FunClip and LocalAI open source? Yes - both are open-source projects on GitHub (FunClip: MIT, LocalAI: MIT). ### Where can I find alternatives to FunClip or LocalAI? GraphCanon lists graph-backed alternatives at [FunClip alternatives](/tools/modelscope-funclip/alternatives) and [LocalAI alternatives](/tools/mudler-localai/alternatives) ([FunClip markdown twin](/tools/modelscope-funclip/alternatives.md), [LocalAI markdown twin](/tools/mudler-localai/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-mudler-localai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, FunClip or LocalAI? FunClip: Very active. LocalAI: 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 LocalAI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [FunClip trust report](/tools/modelscope-funclip/trust); [LocalAI trust report](/tools/mudler-localai/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/_