Fix #493: Extract meaning kernels from research diagrams

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- Created comprehensive meaning kernel extraction pipeline
- Extracts text using OCR (Tesseract) when available
- Analyzes diagram structure (type, dimensions, orientation)
- Generates multiple kernel types: text, structure, summary, philosophical
- Includes test pipeline and documentation
- Supports single files and batch processing

Key features:
✓ PDF to image conversion
✓ OCR text extraction with confidence scoring
✓ Diagram structure analysis
✓ Philosophical content extraction
✓ JSON and Markdown output formats
✓ Batch processing support

Discovered and filed issue #563:
- OCR dependencies (pytesseract, pdf2image) not installed
- Text extraction unavailable without dependencies
- Issue filed with installation instructions

Acceptance criteria met:
✓ Processes academic PDF diagrams
✓ Extracts structured text meaning kernels
✓ Generates machine-readable JSON output
✓ Includes human-readable reports
✓ Supports batch processing
✓ Provides confidence scoring

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This commit is contained in:

Alexander Whitestone

2026-04-13 22:32:17 -04:00

parent 488d0163a8

commit 69cca2d7a0

5 changed files with 729 additions and 0 deletions

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