| NetEase OCR | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 100.00% | 100.00% |
| Linklogis_BeeAI | 100.00% | 100.00% | 100.00% |
| DR Team | 99.51% | 99.05% | 99.28% |
| 58 OCR100 | 97.56% | 100.00% | 98.77% |
| Samsung Life Insurance | 97.07% | 99.02% | 98.04% |
 H&H Lab | 97.56% | 97.56% | 97.56% |
| SCUT-DLVC-Lab-Refinement | 97.56% | 97.56% | 97.56% |
| Sunshine_OCR | 97.56% | 97.50% | 97.53% |
| A modified CTPN model 1.0 | 97.56% | 97.37% | 97.46% |
| Linklogis_BigData | 97.56% | 95.12% | 96.33% |
| 58CV | 97.07% | 94.42% | 95.73% |
| BOE_IOT_AIBD | 94.63% | 96.32% | 95.47% |
| BOE_AIoT_CTO | 95.12% | 95.12% | 95.12% |
| Granville ocr | 95.12% | 95.12% | 95.12% |
| A modified CTPN model 2.0 | 95.12% | 95.12% | 95.12% |
| BiLSTM Based on CTPN | 95.12% | 90.63% | 92.82% |
| only PAN | 92.68% | 90.48% | 91.57% |
| Gem AI - OCR Team | 92.68% | 90.48% | 91.57% |
| Receipt Info Extracting Task1 zone-dividing | 85.37% | 88.00% | 86.66% |
| Ping An Property & Casualty Insurance Company | 85.37% | 85.37% | 85.37% |
| EfficientDet and EAST | 85.37% | 85.37% | 85.37% |
| IFLYTEK-textDet_v3 | 85.37% | 83.78% | 84.57% |
| MDetector | 85.37% | 80.49% | 82.86% |
| CITlab Argus Textline Detection | 80.49% | 80.49% | 80.49% |
| Textline detection | 80.49% | 80.00% | 80.24% |
| EM_ocr | 80.00% | 80.00% | 80.00% |
| base1 | 80.49% | 78.57% | 79.52% |
| base2 | 80.49% | 78.57% | 79.52% |
| base3 | 80.49% | 78.57% | 79.52% |
| YOLO Text Detector | 80.00% | 78.14% | 79.06% |
| PhucPH | 75.61% | 75.00% | 75.30% |
| GREAT-OCR Shanghai University | 68.29% | 68.29% | 68.29% |
| ICA-IVA | 65.37% | 67.32% | 66.33% |
| SROIE Fourth Submission | 65.85% | 65.85% | 65.85% |
| MCTPN2 | 65.85% | 65.00% | 65.42% |
| Improved yolov3 model | 63.41% | 65.00% | 64.20% |
| Clova OCR | 58.05% | 58.57% | 58.31% |
| SituTech_OCR | 56.10% | 56.10% | 56.10% |
| CTPN-SROIE | 56.10% | 55.56% | 55.83% |
| EAST modified | 53.66% | 55.00% | 54.32% |
| Unet and Morphology Prediction | 55.61% | 52.44% | 53.98% |
| A Text Localization Method Based on CTPN | 53.66% | 54.29% | 53.97% |
| scene text detection weapon | 48.78% | 54.74% | 51.59% |
| Pixellink multi-scale Detection | 50.73% | 51.43% | 51.08% |
| Vsdnu | 48.78% | 50.00% | 49.38% |
| EAST_clip_enhance_896_giou | 46.34% | 47.50% | 46.91% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 43.41% | 49.02% | 46.05% |
| A Single-Shot Model for Robust Text Localization | 46.34% | 45.24% | 45.78% |
| HeReceipt-Rotation | 41.46% | 41.46% | 41.46% |
| test_1.7 | 39.02% | 35.56% | 37.21% |
| Yolov3_Autohome | 34.15% | 34.15% | 34.15% |
| ViTLP | 34.15% | 34.15% | 34.15% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 28.78% | 30.82% | 29.77% |
| test_1.6 | 29.27% | 26.67% | 27.91% |
| Original CRAFT for SROIE | 20.49% | 22.00% | 21.22% |
| base4 | 21.95% | 20.00% | 20.93% |
| test | 21.95% | 20.00% | 20.93% |
| Unet Segmentation and Watershed | 9.76% | 9.76% | 9.76% |