Ascii Video Converter
by Edric Vale
Use to turn video or audio into colored ASCII animation: ffmpeg extracts frames, luminance maps to characters, ANSI colors are added, and the result is re-encod
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Works with the AI tools you already use
See it in action
You say
Convert the first 3 seconds of demo.mp4 into a 10fps color ASCII GIF at 80 characters wide for my README.
Your agent does
[Pipeline Initiated]
- Extracted 30 frames from demo.mp4 at 80px width.
- Applied luminance mapping and ANSI Truecolor sequences.
- Rendered frames to PNG using DejaVu Sans Mono.
- Generated ascii.gif (480px, palette-optimized). Output: ascii.gif (240KB) and f001.txt for terminal preview.
What you get
About this skill
The problem
Static README files and technical documentation often lack engaging visual elements that match the terminal aesthetic. Manual conversion of video to ASCII art is a tedious process involving complex luminance mapping and ANSI color coding.
What it does
- Automates frame extraction from MP4 or GIF sources using ffmpeg with configurable sampling rates.
- Maps pixel luminance values to custom character ramps for accurate grayscale representation.
- Injects Truecolor ANSI escape sequences to preserve original video colors in the text output.
- Reassembles processed text frames into optimized MP4 videos or looping GIFs with tuned aspect ratios.
- Generates terminal-ready text files for live 'cat' animation previews.
Frameworks & tools
ffmpeg, Python, NumPy, Pillow (PIL), libx264.
Why this beats prompting it yourself
General-purpose LLMs struggle with the specific math required for aspect ratio correction in ASCII, where characters are roughly twice as tall as they are wide. This skill provides a precise pipeline for luminance-to-character mapping and Truecolor ANSI formatting that avoids the typical distortion and "color smear" of DIY scripts.
Use cases
- Creating terminal-style animated idents for stream overlays or developer portfolios.
- Generating low-fidelity looping GIFs for GitHub READMEs that fit the CLI aesthetic.
- Prototyping ASCII-based waveform visualizations from audio sources.
- Building automated pipelines for text-mode video previews in CI/CD logs.
Known limitations
Rendering is slow for long footage. Not suitable for high-detail video or real-time conversion. Requires local installation of ffmpeg and specific Python libraries.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Frequently Asked Questions
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