Open-source video speech recognition and editing tool based on LLM
FunClip is an open-source project aimed at providing users with accurate and easy-to-use video speech recognition and editing functions. It integrates AI editing technology based on large language models (LLM), enabling users to process video content more efficiently, making it particularly suitable for scenarios that require the rapid generation of video clips.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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"url": "https://agentsignals.ai/agents/funclip",
"applicationCategory": "内容创作",
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"sameAs": "https://github.com/modelscope/FunClip",
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"price": "0",
"priceCurrency": "USD",
"description": "免费",
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"featureList": [
"Video Speech Recognition",
"LLM-based AI Editing",
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"datePublished": "2025-12-05T16:39:21.411714+00:00",
"dateModified": "2025-12-19T05:06:53.195629+00:00",
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"text": "Video Speech Recognition, LLM-based AI Editing, Open Source"
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"@type": "Question",
"name": "What are the use cases for FunClip?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Video content creator editor, Automatically generate video summaries, Educational video processing"
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"@type": "Question",
"name": "What are the advantages of FunClip?",
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"text": "开源免费, 高准确度, 易于使用"
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"name": "What are the limitations of FunClip?",
"acceptedAnswer": {
"@type": "Answer",
"text": "可能需要一定的技术知识来设置, 性能依赖于计算资源"
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