| NetEase OCR | 100.00% | 100.00% | 100.00% |
 Ping An Property & Casualty Insurance Company | 99.72% | 99.19% | 99.45% |
| Linklogis_BeeAI | 99.72% | 99.19% | 99.45% |
| HeReceipt-Rotation | 96.94% | 99.42% | 98.17% |
| Sunshine_OCR | 98.33% | 97.84% | 98.08% |
| only PAN | 98.33% | 97.81% | 98.07% |
| MCTPN2 | 96.94% | 99.12% | 98.02% |
| EAST_clip_enhance_896_giou | 95.83% | 100.00% | 97.87% |
| A modified CTPN model 1.0 | 98.06% | 97.33% | 97.69% |
| BOE_AIoT_CTO | 98.33% | 96.53% | 97.43% |
| Linklogis_BigData | 98.33% | 96.53% | 97.43% |
| ViTLP | 97.22% | 97.22% | 97.22% |
| A modified CTPN model 2.0 | 97.50% | 96.36% | 96.93% |
| EM_ocr | 96.67% | 97.18% | 96.92% |
| 58CV | 95.56% | 97.97% | 96.75% |
| Granville ocr | 96.94% | 96.49% | 96.71% |
| BOE_IOT_AIBD | 93.06% | 100.00% | 96.40% |
| base1 | 96.94% | 95.07% | 96.00% |
| base2 | 96.94% | 95.07% | 96.00% |
| base3 | 96.94% | 95.07% | 96.00% |
| BreSee OCR | 92.78% | 99.41% | 95.98% |
| MDetector | 93.06% | 98.44% | 95.67% |
| CITlab Argus Textline Detection | 96.67% | 94.59% | 95.62% |
| 58 OCR100 | 95.56% | 95.14% | 95.35% |
| H&H Lab | 92.78% | 97.58% | 95.12% |
| SROIE Fourth Submission | 91.39% | 99.12% | 95.10% |
| GREAT-OCR Shanghai University | 95.28% | 94.59% | 94.93% |
| BiLSTM Based on CTPN | 91.67% | 98.41% | 94.92% |
| Gem AI - OCR Team | 94.17% | 95.21% | 94.69% |
| IFLYTEK-textDet_v3 | 90.28% | 98.39% | 94.16% |
| SituTech_OCR | 91.39% | 96.29% | 93.77% |
| A Single-Shot Model for Robust Text Localization | 90.00% | 97.85% | 93.76% |
| Clova OCR | 95.28% | 91.94% | 93.58% |
| base4 | 95.56% | 91.58% | 93.53% |
| test | 95.56% | 91.58% | 93.53% |
| test_1.6 | 95.56% | 91.58% | 93.53% |
| Pixellink multi-scale Detection | 95.83% | 90.79% | 93.24% |
| Vsdnu | 90.28% | 95.59% | 92.86% |
| SCUT-DLVC-Lab-Refinement | 90.28% | 95.59% | 92.86% |
| EAST modified | 90.28% | 95.59% | 92.86% |
| test_1.7 | 94.17% | 90.26% | 92.17% |
| Samsung Life Insurance | 85.56% | 98.46% | 91.56% |
| PhucPH | 91.11% | 91.83% | 91.47% |
| EfficientDet and EAST | 85.83% | 96.19% | 90.72% |
| Unet Segmentation and Watershed | 91.67% | 88.57% | 90.09% |
| DR Team | 90.00% | 89.58% | 89.79% |
| ICA-IVA | 92.22% | 83.90% | 87.86% |
| Textline detection | 78.33% | 87.19% | 82.52% |
| YOLO Text Detector | 80.00% | 78.90% | 79.45% |
| Yolov3_Autohome | 76.11% | 81.49% | 78.71% |
| A Text Localization Method Based on CTPN | 72.22% | 76.92% | 74.50% |
| Unet and Morphology Prediction | 77.50% | 69.60% | 73.34% |
| Improved yolov3 model | 56.94% | 73.21% | 64.06% |
| CTPN-SROIE | 57.78% | 70.82% | 63.64% |
| scene text detection weapon | 52.78% | 67.86% | 59.38% |
| Original CRAFT for SROIE | 61.94% | 54.15% | 57.78% |
| Receipt Info Extracting Task1 zone-dividing | 47.22% | 63.04% | 54.00% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 46.11% | 34.91% | 39.74% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 47.22% | 30.72% | 37.23% |