Clip-Anything

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

• YouTube: Watch Tutorial
• Medium: Read Article

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

• Anil Chandra Naidu Matcha
• Ankur Singh

Related Projects

• AI-Youtube-Shorts-Generator - Auto-generate YouTube Shorts
• Text-To-Video-AI - Generate videos from text
• ai-creator-academy — free curriculum teaching creators how to monetize AI-clipped video content

License

MIT License - see LICENSE for details.