| NetEase OCR | 100.00% | 100.00% | 100.00% |
| DR Team | 100.00% | 100.00% | 100.00% |
| Granville ocr | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 97.87% | 100.00% | 98.92% |
| Sunshine_OCR | 97.87% | 100.00% | 98.92% |
| Linklogis_BeeAI | 97.87% | 100.00% | 98.92% |
| A modified CTPN model 1.0 | 97.87% | 97.73% | 97.80% |
 BiLSTM Based on CTPN | 97.87% | 97.06% | 97.46% |
| SCUT-DLVC-Lab-Refinement | 95.74% | 97.83% | 96.77% |
| Linklogis_BigData | 95.74% | 97.83% | 96.77% |
| 58 OCR100 | 95.74% | 97.73% | 96.73% |
| BOE_IOT_AIBD | 95.74% | 97.67% | 96.70% |
| BOE_AIoT_CTO | 95.74% | 95.74% | 95.74% |
| H&H Lab | 95.74% | 95.65% | 95.70% |
| GREAT-OCR Shanghai University | 95.74% | 95.65% | 95.70% |
| EM_ocr | 95.74% | 95.65% | 95.70% |
| EfficientDet and EAST | 95.74% | 95.65% | 95.70% |
| Gem AI - OCR Team | 95.74% | 95.65% | 95.70% |
| A modified CTPN model 2.0 | 97.87% | 93.62% | 95.70% |
| 58CV | 93.62% | 97.73% | 95.63% |
| IFLYTEK-textDet_v3 | 93.62% | 95.24% | 94.42% |
| Ping An Property & Casualty Insurance Company | 93.62% | 93.62% | 93.62% |
| SROIE Fourth Submission | 93.62% | 93.48% | 93.55% |
| only PAN | 91.49% | 95.45% | 93.43% |
| Textline detection | 91.49% | 89.19% | 90.32% |
| PhucPH | 89.36% | 89.13% | 89.25% |
| Improved yolov3 model | 85.11% | 93.02% | 88.89% |
| Clova OCR | 88.94% | 86.38% | 87.64% |
| ViTLP | 87.23% | 87.23% | 87.23% |
| Vsdnu | 87.23% | 86.96% | 87.10% |
| EAST modified | 87.23% | 86.96% | 87.10% |
| CITlab Argus Textline Detection | 86.81% | 84.90% | 85.84% |
| MDetector | 86.38% | 83.75% | 85.05% |
| SituTech_OCR | 85.11% | 84.78% | 84.94% |
| Unet and Morphology Prediction | 89.36% | 80.00% | 84.42% |
| MCTPN2 | 85.11% | 82.61% | 83.84% |
| CTPN-SROIE | 85.11% | 81.58% | 83.31% |
| ICA-IVA | 82.98% | 77.08% | 79.92% |
| A Single-Shot Model for Robust Text Localization | 78.72% | 80.00% | 79.36% |
| Pixellink multi-scale Detection | 78.72% | 78.72% | 78.72% |
| base1 | 78.72% | 78.72% | 78.72% |
| base2 | 78.72% | 78.72% | 78.72% |
| base3 | 78.72% | 78.72% | 78.72% |
| EAST_clip_enhance_896_giou | 78.72% | 78.26% | 78.49% |
| Receipt Info Extracting Task1 zone-dividing | 72.34% | 79.31% | 75.67% |
| YOLO Text Detector | 73.19% | 78.18% | 75.60% |
| HeReceipt-Rotation | 74.47% | 76.09% | 75.27% |
| Yolov3_Autohome | 74.47% | 73.91% | 74.19% |
| A Text Localization Method Based on CTPN | 70.21% | 68.29% | 69.24% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 57.02% | 54.92% | 55.95% |
| scene text detection weapon | 51.91% | 55.09% | 53.45% |
| test_1.7 | 53.19% | 51.06% | 52.11% |
| test_1.6 | 48.94% | 46.81% | 47.85% |
| Original CRAFT for SROIE | 49.79% | 44.07% | 46.75% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 45.53% | 41.82% | 43.60% |
| base4 | 40.43% | 40.43% | 40.43% |
| test | 40.43% | 40.43% | 40.43% |
| Unet Segmentation and Watershed | 17.02% | 17.02% | 17.02% |