4 Commits

Include renames

Author	SHA1	Message	Date
Eric GullicksonandClaude Opus 4.6	6a4c2137f7	fix: resolve VIN OCR scanning failures on all images (refs #113) ... Root cause: Tesseract fragments VINs into multiple words but candidate extraction required continuous 17-char sequences, rejecting all results. Changes: - Fix candidate extraction to concatenate adjacent OCR fragments - Disable Tesseract dictionaries (VINs are not dictionary words) - Set OEM 1 (LSTM engine) for better accuracy - Add PSM 11 (sparse text) and PSM 13 (raw line) fallback modes - Add Otsu's thresholding as alternative preprocessing pipeline - Upscale small images to meet Tesseract's 300 DPI requirement - Remove incorrect B->8 and S->5 transliterations (valid VIN chars) - Fix pre-existing test bug in check digit expected value Co-Authored-By: Claude Opus 4.6 <[email protected]>	2026-02-06 15:57:14 -06:00
Eric GullicksonandClaude Opus 4.5	3eb54211cb	feat: add owner's manual OCR pipeline (refs #71) ... Implement async PDF processing for owner's manuals with maintenance schedule extraction: - Add PDF preprocessor with PyMuPDF for text/scanned PDF handling - Add maintenance pattern matching (mileage, time, fluid specs) - Add service name mapping to maintenance subtypes - Add table detection and parsing for schedule tables - Add manual extractor orchestrating the complete pipeline - Add POST /extract/manual endpoint for async job submission - Add Redis job queue support for manual extraction jobs - Add progress tracking during processing Processing pipeline: 1. Analyze PDF structure (text layer vs scanned) 2. Find maintenance schedule sections 3. Extract text or OCR scanned pages at 300 DPI 4. Detect and parse maintenance tables 5. Normalize service names and extract intervals 6. Return structured maintenance schedules with confidence scores Co-Authored-By: Claude Opus 4.5 <[email protected]>	2026-02-01 21:30:20 -06:00
Eric GullicksonandClaude Opus 4.5	6319d50fb1	feat: add receipt OCR pipeline (refs #69) ... Implement receipt-specific OCR extraction for fuel receipts: - Pattern matching modules for date, currency, and fuel data extraction - Receipt-optimized image preprocessing for thermal receipts - POST /extract/receipt endpoint with field extraction - Confidence scoring per extracted field - Cross-validation of fuel receipt data - Unit tests for all pattern matchers Extracted fields: merchantName, transactionDate, totalAmount, fuelQuantity, pricePerUnit, fuelGrade Co-Authored-By: Claude Opus 4.5 <[email protected]>	2026-02-01 20:43:30 -06:00
Eric GullicksonandClaude Opus 4.5	54cbd49171	feat: add VIN photo OCR pipeline (refs #67) ... Implement VIN-specific OCR extraction with optimized preprocessing: - Add POST /extract/vin endpoint for VIN extraction - VIN preprocessor: CLAHE, deskew, denoise, adaptive threshold - VIN validator: check digit validation, OCR error correction (I->1, O->0) - VIN extractor: PSM modes 6/7/8, character whitelist, alternatives - Response includes confidence, bounding box, and alternatives - Unit tests for validator and preprocessor - Integration tests for VIN extraction endpoint Co-Authored-By: Claude Opus 4.5 <[email protected]>	2026-02-01 19:31:36 -06:00