| Samsung Life Insurance | 98.65% | 99.47% | 99.06% |
 SROIE Fourth Submission | 99.33% | 98.48% | 98.90% |
| Clova OCR | 98.20% | 98.67% | 98.43% |
| BreSee OCR | 98.88% | 97.75% | 98.31% |
| NetEase OCR | 98.43% | 98.02% | 98.22% |
| ViTLP | 97.75% | 97.75% | 97.75% |
| Sunshine_OCR | 97.98% | 97.47% | 97.72% |
| SCUT-DLVC-Lab-Refinement | 97.98% | 97.29% | 97.63% |
| Linklogis_BeeAI | 97.98% | 97.29% | 97.63% |
| Ping An Property & Casualty Insurance Company | 95.06% | 96.78% | 95.91% |
| Linklogis_BigData | 95.51% | 95.48% | 95.49% |
| 58CV | 94.61% | 95.21% | 94.91% |
| Gem AI - OCR Team | 95.96% | 93.81% | 94.87% |
| CITlab Argus Textline Detection | 94.83% | 94.13% | 94.48% |
| BOE_AIoT_CTO | 93.93% | 94.85% | 94.39% |
| GREAT-OCR Shanghai University | 92.36% | 95.11% | 93.71% |
| only PAN | 88.99% | 97.08% | 92.86% |
| H&H Lab | 92.58% | 92.77% | 92.68% |
| HeReceipt-Rotation | 95.06% | 89.48% | 92.19% |
| MDetector | 90.34% | 90.89% | 90.61% |
| A Single-Shot Model for Robust Text Localization | 84.94% | 96.46% | 90.33% |
| 58 OCR100 | 90.11% | 90.21% | 90.16% |
| EM_ocr | 88.99% | 90.85% | 89.91% |
| Pixellink multi-scale Detection | 90.34% | 88.37% | 89.34% |
| DR Team | 88.76% | 89.25% | 89.01% |
| Granville ocr | 87.87% | 89.33% | 88.59% |
| test_1.7 | 92.81% | 84.20% | 88.30% |
| IFLYTEK-textDet_v3 | 80.45% | 97.53% | 88.17% |
| A modified CTPN model 2.0 | 86.74% | 87.20% | 86.97% |
| SituTech_OCR | 83.82% | 87.42% | 85.58% |
| test_1.6 | 89.44% | 81.20% | 85.12% |
| BOE_IOT_AIBD | 82.92% | 87.32% | 85.06% |
| PhucPH | 82.70% | 87.36% | 84.96% |
| A modified CTPN model 1.0 | 85.17% | 83.47% | 84.31% |
| EAST modified | 80.45% | 87.86% | 83.99% |
| ICA-IVA | 82.47% | 85.41% | 83.92% |
| Unet Segmentation and Watershed | 87.42% | 80.45% | 83.79% |
| base1 | 82.92% | 83.64% | 83.28% |
| base2 | 82.92% | 83.64% | 83.28% |
| base3 | 82.92% | 83.64% | 83.28% |
| base4 | 87.19% | 79.20% | 83.00% |
| test | 87.19% | 79.20% | 83.00% |
| EfficientDet and EAST | 73.71% | 89.47% | 80.83% |
| Vsdnu | 73.48% | 84.44% | 78.58% |
| EAST_clip_enhance_896_giou | 72.81% | 84.05% | 78.03% |
| YOLO Text Detector | 75.06% | 79.68% | 77.30% |
| Unet and Morphology Prediction | 76.18% | 73.73% | 74.93% |
| Receipt Info Extracting Task1 zone-dividing | 71.91% | 70.69% | 71.29% |
| BiLSTM Based on CTPN | 65.84% | 76.62% | 70.83% |
| Textline detection | 63.15% | 76.51% | 69.19% |
| A Text Localization Method Based on CTPN | 61.12% | 74.38% | 67.10% |
| MCTPN2 | 63.60% | 69.29% | 66.32% |
| Yolov3_Autohome | 64.72% | 64.13% | 64.42% |
| CTPN-SROIE | 47.87% | 67.64% | 56.06% |
| scene text detection weapon | 48.54% | 60.54% | 53.88% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 60.45% | 47.30% | 53.08% |
| Original CRAFT for SROIE | 51.69% | 42.12% | 46.41% |
| Improved yolov3 model | 31.91% | 48.31% | 38.43% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 25.62% | 14.34% | 18.39% |