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625fdcef5e9649950e74b09085089ea30b66eba7
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5 Commits

Author SHA1 Message Date
Claude Agent
625fdcef5e chore: delete outdated OCR benchmark results 
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-01-22 09:16:47 +00:00
Claude Agent
3baac5f03e refactor(tests): move OCR benchmark results to tests directory 
- Move docs/OCR_TEST_RESULTS.md → tests/ocr-validation/BENCHMARK_RESULTS.md
- Keep docs/OCR_MEMORY_SOLUTIONS_RESEARCH.md as technical reference

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-01-22 09:15:25 +00:00
Claude Agent
62f86250cc refactor(docs): consolidate and cleanup documentation 
- Delete 9 deprecated/obsolete docs (~6,300 lines removed)
- Move test PDFs to tests/fixtures/ocr-samples/
- Create docs/DEPLOYMENT.md as principal guide
- Create tests/ocr-validation/README.md
- Update all refs for ultrathin monolith architecture
- Update OCR tests to use relative paths

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-01-22 09:14:51 +00:00
Claude Agent
28f259cd05 fix(ocr): Fix store profile extraction patterns and module loading 
Major fixes to OCR store profiles for Romanian receipt extraction:

- Fix ProfileRegistry module path resolution (was loading 0 profiles)
- Add multiline TVA extraction for Brick, Electrobering, Gama Ink
- Add "CARTE CREDIT" payment detection for OMV/SOCAR gas stations
- Handle OCR artifacts: TVA→TUA, "-"→"4", I→L in CUI markers
- Add client CUI patterns for Brick receipts
- Add profile selection logging to ocr_extractor.py
- Create test script for all 29 PDFs (test_all_profiles.py)

Test results: 13/29 passing (improved from 9/29)
Remaining failures are primarily OCR quality issues.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-01-07 09:40:58 +00:00
Marius Mutu
495790411f feat(ocr): Add docTR OCR engine with metrics infrastructure 
Add docTR as primary OCR engine with 2-tier sequential processing,
OCR metrics tracking, and simplified engine selection.

Features:
- docTR OCR engine with light+medium preprocessing tiers
- doctr_plus mode with early exit optimization (~65% fast path)
- OCR metrics dashboard with per-engine statistics
- User OCR preference persistence
- Parallel worker pool for OCR processing
- Cross-validation for extraction quality

Engine options: tesseract, doctr, doctr_plus (recommended), paddleocr

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-01-02 05:37:16 +02:00