Video-Use — AI Video Editing Through Browser Automation

What Is Video-Use

video-use is the second project in the browser-use ecosystem, after the core browser-use framework (100K+ stars). It applies the same AI-agent-via-browser pattern to video editing:

• browser-use: LLM controls a browser → scrapes, clicks, fills forms, extracts data
• video-use: LLM controls a browser-based video editor → imports clips, applies cuts, adds transitions, renders output

The key insight: video editing UIs (like browser-based editors) are just DOM trees + Canvas. The same agent architecture that navigates web pages can navigate video timelines. No special video processing API needed — the agent uses the editor's UI exactly like a human would.

Installation

video-use extends browser-use. If you already have browser-use running, adding video-use is one pip install.

# Prerequisites: browser-use installed and working
pip install browser-use

# Install video-use
pip install video-use

# Install Playwright browsers (if not already done)
playwright install chromium

# Verify
python -c "from video_use import VideoAgent; print('ready')"
# → ready

Quick Start: First AI Video Edit

This example takes a raw clip, trims the first 5 seconds, adds a title card, and renders.

from video_use import VideoAgent
from browser_use import ChatOpenAI

# Initialize the video editing agent
agent = VideoAgent(
    llm=ChatOpenAI(model="gpt-5.5"),
    editor_url="https://editor.example.com",  # browser-based video editor
    headless=False  # Set True for production
)

# Describe what you want — the agent figures out the UI
result = await agent.run("""
    Take input.mp4 and:
    1. Trim the first 5 seconds (black intro)
    2. Add a title card at 0:00: "My Video"
    3. Add a fade transition at 0:05
    4. Export as output.mp4 at 1080p
""")

print(f"Video saved: {result.output_path}")
print(f"Edit steps: {len(result.steps)}")
# → Video saved: output.mp4
# → Edit steps: 12

The agent figures out which buttons to click, what values to enter, and how to navigate the editor's UI. The LLM translates your natural-language instructions into a sequence of browser actions.

Why Browser Automation for Video Editing

This approach solves three problems that traditional video processing APIs (FFmpeg, MoviePy) don't:

1. No API Learning Curve

FFmpeg has 300+ flags. MoviePy requires Python compositing knowledge. video-use lets you describe edits in English and the agent translates to UI actions. Same workflow as browser-use: you don't write DOM selectors, you say "click the login button."

2. Visual Feedback Loop

The agent sees the video preview (via screenshots). If a cut is wrong, it sees the visual result and corrects — unlike a blind FFmpeg command that only gives you the final output.

3. Editor-Agnostic

video-use doesn't hardcode any specific editor's API. Point it at any browser-based video editor and it adapts. This means you can use professional editors (Adobe Premiere web, Kapwing, Canva video) without writing platform-specific integration code.

Production Considerations

video-use is new (released July 2026). Before deploying to production, understand the trade-offs:

Running Video-Use? The Manual Covers the Infrastructure.

video-use runs on the same Docker + Playwright stack as browser-use. The Production Manual covers headless Chromium configuration, anti-detection, session management, and batch queue architecture — everything you need to run browser-use (and video-use) at scale.

Get the Production Manual — $39

30-day money-back guarantee. Covers Docker, headless Chromium, anti-detection, batch queues, and troubleshooting.

FAQ

Is video-use free and open source?

video-use is part of the browser-use ecosystem on GitHub. Check the official repo for license details. The ecosystem uses MIT/Apache licensing — same permissive terms as browser-use itself.

Which video editors does video-use support?

video-use is editor-agnostic. It controls any browser-based video editor through Playwright — the agent navigates the editor's DOM, not a specific API. This means it works with browser-based editors like Kapwing, Canva's video editor, and web-based Adobe Premiere. If the editor runs in a browser, video-use can control it.

Does video-use edit videos locally or in the cloud?

Both. video-use runs on your machine (or your Docker container) and controls a browser. The browser points at whatever video editor you configure — a self-hosted browser editor for fully local processing, or a cloud editor. The video files are handled by the underlying editor, not by video-use directly.

Is video-use production-ready for batch processing?

video-use was released July 2026 — it's very new. The BatchProcessor works (handles concurrent browser instances), but reliability is early-stage. For non-critical batch processing (marketing clips, tutorial intros), it's usable today. For customer-facing production video pipelines, wait 1-2 months for stability improvements. The key fragility: editor UI changes can break the agent.

How does video-use handle errors during editing?

The agent uses visual feedback — it takes screenshots of the editor UI and the LLM validates whether the edit looks correct. If an edit fails (e.g., a cut at the wrong timestamp), the agent retries. However, there's no formal error recovery protocol yet. For batch processing, failed videos are reported in results.failed and you can re-run them individually.

What's the difference between video-use and browser-use?

browser-use is the general-purpose framework: give an LLM a browser, it browses/scrapes/fills forms. video-use applies the same architecture to a specific domain: video editing. The LLM sees the video editor UI through Playwright, decides what buttons to click, and performs edits. Same agent loop, same Playwright engine, different action space (cut/trim/transition vs click/type/navigate).