| NetEase OCR | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 100.00% | 100.00% |
| Linklogis_BeeAI | 100.00% | 100.00% | 100.00% |
| Linklogis_BigData | 97.27% | 96.89% | 97.08% |
| Samsung Life Insurance | 93.18% | 100.00% | 96.47% |
| BOE_AIoT_CTO | 96.82% | 96.09% | 96.45% |
 H&H Lab | 95.00% | 94.67% | 94.83% |
| MDetector | 90.91% | 97.37% | 94.03% |
| DR Team | 90.45% | 96.59% | 93.42% |
| 58CV | 94.55% | 91.91% | 93.21% |
| SCUT-DLVC-Lab-Refinement | 90.91% | 90.91% | 90.91% |
| Sunshine_OCR | 90.00% | 89.57% | 89.78% |
| IFLYTEK-textDet_v3 | 81.82% | 91.89% | 86.56% |
| 58 OCR100 | 85.45% | 87.11% | 86.27% |
| BiLSTM Based on CTPN | 81.82% | 88.57% | 85.06% |
| EfficientDet and EAST | 79.09% | 86.83% | 82.78% |
| Textline detection | 79.55% | 84.85% | 82.11% |
| BOE_IOT_AIBD | 79.55% | 82.50% | 81.00% |
| A modified CTPN model 2.0 | 79.09% | 80.91% | 79.99% |
| only PAN | 76.82% | 80.00% | 78.38% |
| CTPN-SROIE | 77.27% | 78.79% | 78.02% |
| Clova OCR | 76.82% | 78.64% | 77.72% |
| Gem AI - OCR Team | 76.82% | 78.64% | 77.72% |
| Ping An Property & Casualty Insurance Company | 77.27% | 77.27% | 77.27% |
| YOLO Text Detector | 72.73% | 76.36% | 74.50% |
| A Text Localization Method Based on CTPN | 70.45% | 75.76% | 73.01% |
| Granville ocr | 72.27% | 72.44% | 72.36% |
| EM_ocr | 70.45% | 72.09% | 71.26% |
| GREAT-OCR Shanghai University | 69.55% | 71.56% | 70.54% |
| MCTPN2 | 65.00% | 68.78% | 66.84% |
| SituTech_OCR | 65.91% | 67.50% | 66.70% |
| Pixellink multi-scale Detection | 65.91% | 67.44% | 66.67% |
| A modified CTPN model 1.0 | 65.00% | 65.65% | 65.32% |
| Unet and Morphology Prediction | 63.64% | 64.29% | 63.96% |
| CITlab Argus Textline Detection | 63.18% | 63.56% | 63.37% |
| A Single-Shot Model for Robust Text Localization | 58.64% | 59.11% | 58.87% |
| EAST_clip_enhance_896_giou | 52.27% | 52.63% | 52.45% |
| base1 | 52.27% | 52.50% | 52.39% |
| base2 | 52.27% | 52.50% | 52.39% |
| base3 | 52.27% | 52.50% | 52.39% |
| scene text detection weapon | 45.91% | 52.98% | 49.19% |
| PhucPH | 47.27% | 49.09% | 48.16% |
| SROIE Fourth Submission | 47.27% | 48.00% | 47.63% |
| HeReceipt-Rotation | 45.00% | 45.58% | 45.29% |
| ICA-IVA | 45.45% | 44.19% | 44.81% |
| EAST modified | 40.91% | 43.90% | 42.35% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 38.64% | 36.36% | 37.47% |
| Vsdnu | 33.64% | 39.00% | 36.12% |
| Yolov3_Autohome | 34.09% | 34.09% | 34.09% |
| test_1.7 | 28.64% | 32.24% | 30.33% |
| Improved yolov3 model | 24.55% | 29.00% | 26.59% |
| Receipt Info Extracting Task1 zone-dividing | 15.91% | 80.00% | 26.54% |
| Original CRAFT for SROIE | 23.64% | 26.40% | 24.94% |
| ViTLP | 22.73% | 22.73% | 22.73% |
| test_1.6 | 22.73% | 20.41% | 21.51% |
| base4 | 13.64% | 12.24% | 12.90% |
| test | 13.64% | 12.24% | 12.90% |
| Unet Segmentation and Watershed | 11.36% | 11.36% | 11.36% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 3.64% | 4.60% | 4.06% |