| NetEase OCR | 98.75% | 100.00% | 99.37% |
| Linklogis_BeeAI | 98.75% | 98.65% | 98.70% |
 H&H Lab | 98.50% | 98.27% | 98.39% |
| SCUT-DLVC-Lab-Refinement | 97.25% | 99.49% | 98.36% |
| Samsung Life Insurance | 96.25% | 100.00% | 98.09% |
| Sunshine_OCR | 96.25% | 100.00% | 98.09% |
| A modified CTPN model 1.0 | 97.50% | 97.26% | 97.38% |
| Linklogis_BigData | 94.75% | 99.47% | 97.05% |
| 58 OCR100 | 97.50% | 96.05% | 96.77% |
| IFLYTEK-textDet_v3 | 96.25% | 97.18% | 96.71% |
| Gem AI - OCR Team | 97.25% | 95.85% | 96.55% |
| BreSee OCR | 96.25% | 96.25% | 96.25% |
| BOE_AIoT_CTO | 92.50% | 100.00% | 96.10% |
| DR Team | 97.00% | 95.19% | 96.09% |
| BiLSTM Based on CTPN | 96.25% | 95.59% | 95.92% |
| GREAT-OCR Shanghai University | 96.00% | 95.80% | 95.90% |
| Textline detection | 96.25% | 94.64% | 95.44% |
| MDetector | 92.50% | 97.37% | 94.87% |
| A modified CTPN model 2.0 | 91.25% | 98.65% | 94.81% |
| only PAN | 91.25% | 97.30% | 94.18% |
| Ping An Property & Casualty Insurance Company | 91.25% | 97.26% | 94.16% |
| MCTPN2 | 90.00% | 97.30% | 93.51% |
| BOE_IOT_AIBD | 91.25% | 95.83% | 93.49% |
| HeReceipt-Rotation | 92.50% | 93.59% | 93.04% |
| EfficientDet and EAST | 90.00% | 95.89% | 92.85% |
| EM_ocr | 92.50% | 92.50% | 92.50% |
| Clova OCR | 92.50% | 92.41% | 92.45% |
| SituTech_OCR | 91.25% | 93.59% | 92.41% |
| 58CV | 93.75% | 90.36% | 92.02% |
| SROIE Fourth Submission | 90.00% | 93.51% | 91.72% |
| Granville ocr | 91.00% | 91.90% | 91.45% |
| Pixellink multi-scale Detection | 91.25% | 90.12% | 90.68% |
| CTPN-SROIE | 86.25% | 94.23% | 90.06% |
| A Text Localization Method Based on CTPN | 86.25% | 92.86% | 89.43% |
| A Single-Shot Model for Robust Text Localization | 88.75% | 87.65% | 88.20% |
| Unet and Morphology Prediction | 87.50% | 87.50% | 87.50% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 84.25% | 84.16% | 84.20% |
| EAST modified | 80.00% | 86.49% | 83.12% |
| EAST_clip_enhance_896_giou | 77.50% | 87.32% | 82.12% |
| ICA-IVA | 77.25% | 84.59% | 80.76% |
| CITlab Argus Textline Detection | 76.25% | 83.56% | 79.74% |
| ViTLP | 78.75% | 78.75% | 78.75% |
| PhucPH | 78.50% | 78.52% | 78.51% |
| Yolov3_Autohome | 75.00% | 79.17% | 77.03% |
| YOLO Text Detector | 71.00% | 80.00% | 75.23% |
| Improved yolov3 model | 69.75% | 79.72% | 74.40% |
| Vsdnu | 72.50% | 74.36% | 73.42% |
| test_1.7 | 68.50% | 67.41% | 67.95% |
| base1 | 68.75% | 66.67% | 67.69% |
| base2 | 68.75% | 66.67% | 67.69% |
| base3 | 68.75% | 66.67% | 67.69% |
| Original CRAFT for SROIE | 63.50% | 63.85% | 63.67% |
| test_1.6 | 56.00% | 55.06% | 55.53% |
| scene text detection weapon | 42.75% | 59.09% | 49.61% |
| base4 | 47.25% | 46.42% | 46.83% |
| test | 47.25% | 46.42% | 46.83% |
| Unet Segmentation and Watershed | 38.75% | 37.35% | 38.04% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 20.25% | 14.58% | 16.96% |
| Receipt Info Extracting Task1 zone-dividing | 5.50% | 20.61% | 8.68% |