token-distiller 0.1.5
A new tool, token-distiller, can now process PDFs, images, and code repositories to create concise, token-efficient input for AI agents. It features local OCR for diagram analysis and intelligent caching to avoid redundant processing, ensuring all content is considered.
Key takeaways
- Processes PDFs, images, and code for AI context
- Local OCR analyzes diagrams, not just text
- Intelligent caching reduces redundant data processing
- Ensures comprehensive context for AI agents
Why it matters
This development allows AI assistants to work with more complex and varied data sources, including visual elements within documents. Users can expect more accurate and comprehensive AI responses when dealing with technical manuals, research papers, or codebases.
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