# Tasks: Fix OCR Track Cell Over-Detection ## Root Cause Analysis Update **Original assumption:** PP-Structure was over-detecting cells. **Actual root cause:** cell_boxes from `table_res_list` were being assigned to WRONG tables when HTML matching failed. The fallback used "first available" instead of bbox matching, causing: - Table A's cell_boxes assigned to Table B - False over-detection metrics (density 6.22 vs actual 1.65) - Incorrect reclassification as TEXT ## Phase 1: Cell Validation Engine - [x] 1.1 Create `cell_validation_engine.py` with metric-based validation - [x] 1.2 Implement cell density calculation (cells per 10000px²) - [x] 1.3 Implement average cell area calculation - [x] 1.4 Implement cell height validation (table_height / cell_count) - [x] 1.5 Add configurable thresholds with defaults: - max_cell_density: 3.0 cells/10000px² - min_avg_cell_area: 3000 px² - min_cell_height: 10px - [ ] 1.6 Unit tests for validation functions ## Phase 2: Table Reclassification - [x] 2.1 Implement table-to-text reclassification logic - [x] 2.2 Preserve original text content from HTML table - [x] 2.3 Create TEXT element with proper bbox - [x] 2.4 Recalculate reading order after reclassification ## Phase 3: Integration - [x] 3.1 Integrate validation into OCR service pipeline (after PP-Structure) - [x] 3.2 Add validation before cell_boxes processing - [x] 3.3 Add debug logging for filtered tables - [ ] 3.4 Update processing metadata with filter statistics ## Phase 3.5: cell_boxes Matching Fix (NEW) - [x] 3.5.1 Fix cell_boxes matching in pp_structure_enhanced.py to use bbox overlap instead of "first available" - [x] 3.5.2 Calculate IoU between table_res cell_boxes bounding box and layout element bbox - [x] 3.5.3 Match tables with >10% overlap, log match quality - [x] 3.5.4 Update validate_cell_boxes to also check table bbox boundaries, not just page boundaries **Results:** - OLD: cell_boxes mismatch caused false over-detection (density=6.22) - NEW: correct bbox matching (overlap=0.97-0.98), actual metrics (density=1.06-1.65) ## Phase 4: Testing - [x] 4.1 Test with edit.pdf (sample with over-detection) - [x] 4.2 Verify Table 3 (51 cells) - now correctly matched with density=1.65 (within threshold) - [x] 4.3 Verify Tables 1, 2, 4 remain as tables - [x] 4.4 Compare PDF output quality before/after - [ ] 4.5 Regression test on other documents ## Phase 5: cell_boxes Quality Check (NEW - 2025-12-07) **Problem:** PP-Structure's cell_boxes don't always form proper grids. Some tables have overlapping cells (18-23% of cell pairs overlap), causing messy overlapping borders in PDF. **Solution:** Added cell overlap quality check in `_draw_table_with_cell_boxes()`: - [x] 5.1 Count overlapping cell pairs in cell_boxes - [x] 5.2 Calculate overlap ratio (overlapping pairs / total pairs) - [x] 5.3 If overlap ratio > 10%, skip cell_boxes rendering and use ReportLab Table fallback - [x] 5.4 Text inside table regions filtered out to prevent duplicate rendering **Test Results (task_id: 5e04bd00-a7e4-4776-8964-0a56eaf608d8):** - Table pp3_0_3 (13 cells): 10/78 pairs (12.8%) overlap → ReportLab fallback - Table pp3_0_6 (29 cells): 94/406 pairs (23.2%) overlap → ReportLab fallback - Table pp3_0_7 (12 cells): No overlap issue → Grid-based line drawing - Table pp3_0_16 (51 cells): 233/1275 pairs (18.3%) overlap → ReportLab fallback - 26 text regions inside tables filtered out to prevent duplicate rendering ## Phase 6: Fix Double Rendering of Text Inside Tables (2025-12-07) **Problem:** Text inside table regions was rendered twice: 1. Via layout/HTML table rendering 2. Via raw OCR text_regions (because `regions_to_avoid` excluded tables) **Root Cause:** In `pdf_generator_service.py:1162-1169`: ```python regions_to_avoid = [img for img in images_metadata if img.get('type') != 'table'] ``` This intentionally excluded tables from filtering, causing text overlap. **Solution:** - [x] 6.1 Include tables in `regions_to_avoid` to filter text inside table bboxes - [x] 6.2 Test PDF output with fix applied - [x] 6.3 Verify no blank areas where tables should have content **Test Results (task_id: 2d788fca-c824-492b-95cb-35f2fedf438d):** - PDF size reduced 18% (59,793 → 48,772 bytes) - Text content reduced 66% (14,184 → 4,829 chars) - duplicate text eliminated - Before: "PRODUCT DESCRIPTION" appeared twice, table values duplicated - After: Content appears only once, clean layout - Table content preserved correctly via HTML table rendering ## Phase 7: Smart Table Rendering Based on cell_boxes Quality (2025-12-07) **Problem:** Phase 6 fix caused content to be largely missing because all tables were excluded from text rendering, but tables with bad cell_boxes quality had their content rendered via ReportLab Table fallback which might not preserve text accurately. **Solution:** Smart rendering based on cell_boxes quality: - Good quality cell_boxes (≤10% overlap) → Filter text, render via cell_boxes - Bad quality cell_boxes (>10% overlap) → Keep raw OCR text, draw table border only **Implementation:** - [x] 7.1 Add `_check_cell_boxes_quality()` to assess cell overlap ratio - [x] 7.2 Add `_draw_table_border_only()` for border-only rendering - [x] 7.3 Modify smart filtering in `_generate_pdf_from_data()`: - Good quality tables → add to `regions_to_avoid` - Bad quality tables → mark with `_use_border_only=True` - [x] 7.4 Add `element_id` to `table_element` in `convert_unified_document_to_ocr_data()` (was missing, causing `_use_border_only` flag mismatch) - [x] 7.5 Modify `draw_table_region()` to check `_use_border_only` flag **Test Results (task_id: 82c7269f-aff0-493b-adac-5a87248cd949, scan.pdf):** - Tables pp3_0_3 and pp3_0_4 identified as bad quality → border-only rendering - Raw OCR text preserved and rendered at original positions - PDF output: 62,998 bytes with all text content visible - Logs confirm: `[TABLE] pp3_0_3: Drew border only (bad cell_boxes quality)`