| NetEase OCR | 98.77% | 100.00% | 99.38% |
| Linklogis_BeeAI | 97.53% | 100.00% | 98.75% |
 H&H Lab | 96.05% | 95.85% | 95.95% |
| BreSee OCR | 95.06% | 95.06% | 95.06% |
| BOE_AIoT_CTO | 93.83% | 92.68% | 93.25% |
| Samsung Life Insurance | 85.93% | 98.89% | 91.95% |
| Linklogis_BigData | 93.58% | 87.05% | 90.19% |
| Granville ocr | 90.12% | 89.02% | 89.57% |
| DR Team | 91.36% | 87.06% | 89.16% |
| Sunshine_OCR | 91.36% | 86.05% | 88.62% |
| SCUT-DLVC-Lab-Refinement | 89.88% | 84.60% | 87.16% |
| MDetector | 90.12% | 83.72% | 86.80% |
| A modified CTPN model 2.0 | 88.89% | 84.71% | 86.75% |
| 58CV | 88.64% | 82.30% | 85.35% |
| Gem AI - OCR Team | 86.42% | 83.33% | 84.85% |
| 58 OCR100 | 86.17% | 82.09% | 84.08% |
| base1 | 86.42% | 80.46% | 83.33% |
| base2 | 86.42% | 80.46% | 83.33% |
| base3 | 86.42% | 80.46% | 83.33% |
| Unet and Morphology Prediction | 85.93% | 80.73% | 83.25% |
| BOE_IOT_AIBD | 82.72% | 81.71% | 82.21% |
| PhucPH | 84.94% | 79.09% | 81.91% |
| CITlab Argus Textline Detection | 85.19% | 78.41% | 81.66% |
| IFLYTEK-textDet_v3 | 81.48% | 81.48% | 81.48% |
| EM_ocr | 81.48% | 80.49% | 80.98% |
| Ping An Property & Casualty Insurance Company | 82.47% | 76.82% | 79.54% |
| GREAT-OCR Shanghai University | 81.23% | 75.68% | 78.36% |
| only PAN | 80.25% | 73.86% | 76.92% |
| SROIE Fourth Submission | 73.83% | 78.70% | 76.19% |
| test_1.7 | 79.01% | 72.73% | 75.74% |
| Clova OCR | 77.78% | 73.26% | 75.45% |
| MCTPN2 | 76.54% | 72.94% | 74.70% |
| BiLSTM Based on CTPN | 69.14% | 78.85% | 73.67% |
| SituTech_OCR | 74.07% | 73.17% | 73.62% |
| EfficientDet and EAST | 75.06% | 71.63% | 73.30% |
| A modified CTPN model 1.0 | 76.54% | 69.66% | 72.94% |
| YOLO Text Detector | 74.07% | 71.53% | 72.78% |
| ICA-IVA | 72.35% | 71.67% | 72.00% |
| test_1.6 | 74.07% | 68.18% | 71.01% |
| Pixellink multi-scale Detection | 71.36% | 70.60% | 70.98% |
| A Single-Shot Model for Robust Text Localization | 70.37% | 68.67% | 69.51% |
| Vsdnu | 69.14% | 65.12% | 67.07% |
| HeReceipt-Rotation | 69.14% | 64.37% | 66.67% |
| base4 | 69.14% | 63.64% | 66.27% |
| test | 69.14% | 63.64% | 66.27% |
| EAST modified | 67.90% | 63.22% | 65.48% |
| EAST_clip_enhance_896_giou | 65.19% | 64.58% | 64.88% |
| Receipt Info Extracting Task1 zone-dividing | 54.32% | 73.17% | 62.35% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 60.25% | 61.94% | 61.08% |
| ViTLP | 60.49% | 60.49% | 60.49% |
| Textline detection | 53.09% | 67.86% | 59.57% |
| Original CRAFT for SROIE | 56.79% | 59.88% | 58.30% |
| A Text Localization Method Based on CTPN | 53.09% | 64.29% | 58.15% |
| Yolov3_Autohome | 57.78% | 57.35% | 57.56% |
| CTPN-SROIE | 49.38% | 67.44% | 57.02% |
| Unet Segmentation and Watershed | 56.54% | 53.56% | 55.01% |
| Improved yolov3 model | 47.90% | 52.80% | 50.23% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 32.84% | 33.05% | 32.94% |
| scene text detection weapon | 18.52% | 34.78% | 24.17% |