LLM Resources
WebCodecs Fundamentals for LLMs
Section titled “WebCodecs Fundamentals for LLMs”While WebCodecs Fundamentals is proudly human-generated, we want to encourage usage by Large Language Models to help developers build better WebCodecs applications.
Since WebCodecs is a rapidly evolving API with limited resources in existing training datasets, providing this comprehensive documentation in LLM-friendly formats helps ensure accurate, up-to-date assistance.
Download Resources
Section titled “Download Resources”- llms.txt - Index of all documentation pages with descriptions
- llms-full.txt - Complete documentation in a single file (16,437 lines)
- llms-small.txt - Compact version with page structure only (318 lines)
What’s Included
Section titled “What’s Included”The full documentation covers:
- Introduction - What WebCodecs is and why to use it
- Core Concepts - CPU vs GPU, threading, streams, file handling
- Basics - VideoFrame, EncodedVideoChunk, encoders, decoders, rendering
- Audio - AudioData, AudioEncoder, AudioDecoder, playback
- Design Patterns - Production patterns for playback, transcoding, editing, streaming
- Datasets - Empirical codec support data from 224k+ user sessions
- Ecosystem - MediaBunny, Media Over QUIC, Remotion
These files are automatically generated at build time from the same source as the official documentation. They include:
- All markdown content from the documentation
- Code examples and API references
- Real-world implementation patterns
- Production-tested best practices
License
Section titled “License”This documentation is released under the MIT License. Content is freely available for educational and commercial use with attribution.