Video-Use — Edit Videos with AI Coding Agents

Introduction

Video-Use is an open-source Python framework from the Browser Use team that enables AI coding agents to edit videos through natural-language instructions. It bridges the gap between text-based agent workflows and multimedia production, turning simple prompts into real video edits.

What Video-Use Does

• Translates natural-language editing instructions into video processing commands
• Supports trimming, cutting, merging, speed adjustment, and transitions
• Generates and overlays captions and subtitles from speech transcription
• Applies visual effects, filters, and color adjustments via text prompts
• Exports finished videos in standard formats including MP4 and WebM

Architecture Overview

Video-Use wraps FFmpeg and related media tools behind an agent-friendly Python API. When a coding agent sends editing instructions, Video-Use parses them into a structured edit plan, validates the operations against the input media, and executes them as a pipeline of FFmpeg commands. Speech-to-text integration handles automatic captioning. The framework is designed for headless operation in CI or agent environments.

Self-Hosting & Configuration

• Install via pip with all dependencies including FFmpeg bindings
• Configure the default output format and resolution in settings
• Set up speech-to-text credentials for automatic caption generation
• Use environment variables to point to custom FFmpeg binaries if needed
• Runs on macOS, Linux, and Windows wherever Python and FFmpeg are available

Key Features

• Natural-language video editing without manual timeline work
• Automatic caption generation from audio transcription
• Batch processing for editing multiple videos in sequence
• Composable edit pipelines that agents can chain together
• Headless operation for CI/CD and automated content workflows

Comparison with Similar Tools

• MoviePy — Python video editing library requiring explicit code; Video-Use accepts natural-language prompts
• FFmpeg CLI — powerful but requires memorizing complex flags; Video-Use abstracts this behind agent-friendly commands
• Descript — commercial video editor with AI features; Video-Use is open-source and agent-native
• Revideo — code-driven video editor; Video-Use focuses on agent-driven natural-language editing
• Palmier Pro — macOS video editor for AI; Video-Use is cross-platform and headless

FAQ

Q: Does Video-Use require a GPU? A: No. It uses FFmpeg for processing, which runs on CPU. GPU acceleration is optional for certain filters.

Q: Can it handle long-form video? A: Yes. Video-Use processes media in streams rather than loading entire files into memory, supporting videos of any length.

Q: Which agents work with Video-Use? A: Any agent that can invoke Python tools or CLI commands, including Claude Code, Codex, and Cursor.

Q: Is the caption generation accurate? A: Caption quality depends on the speech-to-text provider. Video-Use supports multiple providers including Whisper.

Sources

• https://github.com/browser-use/video-use