video-use - Browser Use team's open-source AI video editing agent

What is video-use?

Video-use is an open-source AI video editing agent from the Browser Use team that replaces traditional timeline operations with natural language dialogue. Users simply place the raw footage into a folder and describe their needs; the agent automatically performs footage inventory, verbal tics removal, color grading, subtitles, animation overlay, and self-evaluation, ultimately outputting the final video. Video-use's core innovation lies in enabling LLM to transcribe audio into text (approximately 12KB), significantly reducing token costs. It is specifically designed for efficient automated editing of structured content such as audio recordings, tutorials, and interviews.

The main functions of video-use

• verbal tic and the elimination of dead silenceAutomatically identifies and removes filler words such as "um" and "ah," long pauses, and poorly executed repeated shots.
• Automatic color adjustmentBuilt-in presets such as warm_cinematic and neutral_punch, and supports custom ffmpeg filter chains.
• 30ms audio fade-inAutomatically add a 30-millisecond fade-in/fade-out at each cut point to completely eliminate cut point pops.
• Burn subtitlesThe default short video style is "two words in capital letters". It supports custom fonts, colors and positions such as natural long sentences and large subtitles for emphasis.
• Animation overlayIt calls engines such as HyperFrames, Remotion, Manim, and PIL+ffmpeg to generate B-roll and animation cards, which are generated in parallel by independent sub-agents.
• Self-assessment cycleAfter rendering, it automatically checks for issues such as frame skipping at cutpoints, audio popping, subtitle obscuring, and overlay alignment, and fixes these issues up to 3 times.
• Conversation memoryEach editing decision is added to project.mdWhen you continue working, retain the previous preferences and strategies.

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How to use video-use

• Cloning repository: Execute in the terminal git clone https://github.com/browser-use/video-use ~/Developer/video-use Download the project code to your local developer directory.
• Install dependenciesRun after entering the project directory. uv sync or pip install -e . Install Python dependencies, and at the same time... brew install ffmpeg Install the necessary audio and video processing tools.
• Configure API KeyCopy environment variable template file cp .env.example .envThen edit .env Enter the ElevenLabs API Key in the file for audio transcription services.
• Register SkillCreate a symbolic link to register video-use to the Agent's skills directory, for example, for the Claude Code user to execute. ln -sfn ~/Developer/video-use ~/.claude/skills/video-use.
• Start usingNavigate to the folder containing the original video footage, launch your programming agent, and tell it "edit these into a launch video" to trigger the automatic editing process.

The core advantages of video-use

• Conversational interaction replaces manual editingThe entire process can be driven by describing requirements in natural language, without the need to master professional editing software.
• Universal compatibility without API limitationsIt does not rely on official open interfaces; any web-based video tool can be controlled by AI.
• Understanding Extremely Low Token Costs (Video)LLM enables efficient "reading" rather than "watching" videos by replacing frame-by-frame visual analysis with audio-transcribed text (approximately 12KB).
• Automated mechanical laborRepetitive tasks such as verbal tics removal, color correction, subtitles, and animation overlays are performed automatically by the Agent, and humans only need to confirm the strategy.
• Standardized output is reproducibleEditing rules are fixed in the code to ensure consistent output style for similar content and avoid discrepancies caused by manual operation.
• Self-assessment quality assuranceAfter rendering, it automatically checks for and fixes issues such as frame skipping, popping sounds, and occlusion, ensuring that the final product meets quality standards before presenting it to the user.

The project address for video-use

• GitHub repositoryhttps://github.com/browser-use/video-use

Comparison of video-use with similar products

Application scenarios of video-use

• Tech blogger's voiceover clipsQuickly cut multiple recordings of raw footage into a coherent release video, automatically removing slurs and pauses.
• Tutorial creation teamBatch processing of large numbers of repetitive editing tasks, standardizing subtitle, color grading, and animation overlay workflows.
• Product launch videoAutomatically stitches together multiple clips according to a strategy, unifies the visual style, and generates matching B-roll animations.
• Post-production of interviews/podcastsAutomatically identifies the best take, removes redundant content, and outputs a finished film with subtitles and fade-out effects.
• Standardized Workflow for Content Creators: Shift the editing process from manual operation to strategy confirmation, freeing up time to focus on content creation itself.