Video Use

Overview

Video Use is an innovative tool that enables AI coding agents to edit videos through natural language instructions. With over 16,000 GitHub stars, it represents a new paradigm in AI-powered content creation, extending the capabilities of coding agents into the multimedia domain. Rather than requiring manual video editing software, users can describe desired edits in plain language and have AI agents execute them.

Built by the Browser Use team, Video Use leverages the same natural language interface philosophy that made browser automation accessible to AI agents, now applied to video editing workflows.

Features

• Natural language video editing: Edit videos using plain language instructions
• Coding agent integration: Works seamlessly with AI coding agents like Claude Code
• Multiple video formats: Support for common video formats (MP4, MOV, AVI, etc.)
• Automated processing: End-to-end automated video editing pipelines
• Python-based: Easy integration with Python workflows and data pipelines
• CLI interface: Command-line interface for scripting and automation
• Effect library: Pre-built video effects and transitions
• Batch processing: Process multiple videos in a single operation

Installation

# Install via pip
pip install video-use

# Or clone and install from source
git clone https://github.com/browser-use/video-use
cd video-use
pip install -e .

Quick Start

from video_use import VideoAgent

# Create a video editing agent
agent = VideoAgent()

# Edit video with natural language
result = agent.edit(
    input_path="input.mp4",
    instruction="Remove the first 10 seconds, add fade-in effect, and compress to 720p",
    output_path="output.mp4"
)

print(f"Video edited successfully: {result.output_path}")

Core Concepts

Natural Language Editing

Instead of learning complex video editing software, users describe their desired edits in plain English. The AI agent translates these instructions into the appropriate video processing commands.

Agent-Driven Workflows

Video Use is designed to work with AI coding agents, enabling automated video production pipelines that can be integrated into larger workflows.

Advanced Features

Custom Effects

Define custom video effects and transitions that can be referenced in natural language instructions.

Template System

Create reusable video editing templates for consistent output across multiple videos.

Pipeline Integration

Integrate video editing into CI/CD pipelines for automated content production.

Examples

Simple Trim and Export

agent = VideoAgent()

agent.edit(
    input_path="raw-footage.mp4",
    instruction="Trim to keep only 2-5 minutes, export as 1080p MP4",
    output_path="trimmed.mp4"
)

Complex Multi-Edit Workflow

agent = VideoAgent()

# Batch process multiple videos
for video in ["clip1.mp4", "clip2.mp4", "clip3.mp4"]:
    agent.edit(
        input_path=video,
        instruction="Add intro title card, normalize audio, add outro with logo",
        output_path=f"processed/{video}"
    )

CLI Usage

# Edit video from command line
video-use edit input.mp4 "Add subtitles from SRT file, change aspect ratio to 16:9" --output result.mp4

# Batch process
video-use batch process-folder/ --instruction "Compress to 720p, add watermark" --output-dir compressed/

Pros

• ✅ Natural language interface eliminates learning curve
• ✅ AI coding agent integration for automation
• ✅ Python-based for easy customization
• ✅ CLI for scripting and automation
• ✅ Batch processing capabilities
• ✅ 16,000+ stars with active development

Cons

• ✅ Complex edits may require multiple iterations
• ✅ Processing time depends on video length and complexity
• ✅ GPU acceleration may be required for large files
• ✅ Newer project with evolving feature set

When to Use

Video Use is ideal for content creators who want AI-assisted video editing, developers building automated video production pipelines, marketing teams needing rapid video content creation, and AI coding agent users who want to extend their capabilities to video content.

Resources

• GitHub Repository
• Browser Use Documentation