Clip Anything
Multimodal AI video clipping - Extract any moment from any video using natural language prompts. Just describe what you’re looking for, and AI will find and clip it for you.
Looking for an api to build your own Opus-clip style product ? Check the api below
https://muapi.ai/playground/autocrop
https://muapi.ai/playground/ai-clipping
Tutorials
Features
- Natural Language Prompts - Describe the moment you want in plain English
- Multimodal Analysis - Understands visual, audio, and sentiment cues
- Smart Scene Detection - Identifies objects, actions, emotions, and text
- Virality Scoring - Rates each scene for potential engagement
- Customizable Clips - Tailor output to your exact specifications
How It Works
Video Input → AI Analysis → Prompt Matching → Clip Extraction → Output Video
Advanced Video Analysis
The AI evaluates every frame of your video:
- Visual: Objects, scenes, actions, faces
- Audio: Speech, music, sound effects
- Sentiment: Emotions, reactions, tone
- Text: On-screen text and captions
Prompt-Based Clipping
Simply describe what you want:
- “Find all the funny moments”
- “Clip when someone scores a goal”
- “Extract the product reveal”
- “Get the emotional reaction shots”
Demo
Input Video: YouTube Example
Output Video: See Result
Quick Start
# Clone the repository
git clone https://github.com/SamurAIGPT/Clip-Anything.git
cd Clip-Anything
# Install dependencies
pip install -r requirements.txt
# Run the clipper
python clip_anything.py --video input.mp4 --prompt "your prompt here"
API Alternative
Want production-ready clipping at scale? Use the Vadoo AI Clipping API:
import requests
response = requests.post(
"https://viralapi.vadoo.tv/api/create_clips",
headers={"X-API-KEY": "your_api_key"},
json={
"video_url": "https://example.com/video.mp4",
"prompt": "highlight moments"
}
)
Use Cases
| Use Case |
Example Prompt |
| Sports Highlights |
“Extract all scoring plays” |
| Podcast Clips |
“Find the most insightful moments” |
| Travel Vlogs |
“Clip the scenic views” |
| Tutorials |
“Get the key demonstration steps” |
| Interviews |
“Find emotional reactions” |
Tech Stack
| Component |
Purpose |
| GPT-4V |
Visual understanding |
| Whisper |
Audio transcription |
| FFmpeg |
Video processing |
| OpenCV |
Frame analysis |
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Follow for Updates
License
MIT License - see LICENSE for details.
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