| NetEase OCR | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 100.00% | 100.00% |
 SCUT-DLVC-Lab-Refinement | 99.67% | 99.32% | 99.50% |
| Samsung Life Insurance | 99.67% | 99.32% | 99.50% |
| Linklogis_BigData | 99.34% | 98.67% | 99.00% |
| A modified CTPN model 2.0 | 99.34% | 98.67% | 99.00% |
| H&H Lab | 99.67% | 97.67% | 98.66% |
| Ping An Property & Casualty Insurance Company | 98.36% | 98.28% | 98.32% |
| Linklogis_BeeAI | 98.36% | 98.28% | 98.32% |
| Sunshine_OCR | 98.36% | 98.25% | 98.30% |
| Gem AI - OCR Team | 98.03% | 97.54% | 97.79% |
| SROIE Fourth Submission | 96.72% | 98.28% | 97.49% |
| SituTech_OCR | 98.36% | 96.61% | 97.48% |
| HeReceipt-Rotation | 98.36% | 96.61% | 97.48% |
| EM_ocr | 97.70% | 97.00% | 97.35% |
| 58CV | 99.02% | 95.69% | 97.33% |
| BOE_IOT_AIBD | 98.36% | 96.30% | 97.32% |
| GREAT-OCR Shanghai University | 98.03% | 96.00% | 97.01% |
| A modified CTPN model 1.0 | 98.03% | 96.00% | 97.01% |
| only PAN | 98.36% | 95.00% | 96.65% |
| PhucPH | 96.72% | 96.55% | 96.64% |
| 58 OCR100 | 98.03% | 95.00% | 96.49% |
| Clova OCR | 97.70% | 93.97% | 95.80% |
| BOE_AIoT_CTO | 96.39% | 94.52% | 95.45% |
| CITlab Argus Textline Detection | 96.72% | 93.33% | 95.00% |
| Unet Segmentation and Watershed | 96.72% | 91.80% | 94.20% |
| base1 | 96.72% | 91.80% | 94.20% |
| base2 | 96.72% | 91.80% | 94.20% |
| base3 | 96.72% | 91.80% | 94.20% |
| ViTLP | 93.44% | 93.44% | 93.44% |
| Granville ocr | 93.44% | 93.10% | 93.27% |
| EAST modified | 90.16% | 96.30% | 93.13% |
| Vsdnu | 88.52% | 96.23% | 92.21% |
| MCTPN2 | 88.52% | 95.92% | 92.07% |
| MDetector | 90.16% | 90.74% | 90.45% |
| test_1.7 | 92.46% | 87.08% | 89.69% |
| Unet and Morphology Prediction | 93.11% | 86.23% | 89.54% |
| BiLSTM Based on CTPN | 85.25% | 93.75% | 89.30% |
| Pixellink multi-scale Detection | 89.84% | 87.67% | 88.74% |
| IFLYTEK-textDet_v3 | 85.25% | 92.00% | 88.49% |
| DR Team | 88.20% | 88.36% | 88.28% |
| ICA-IVA | 86.56% | 89.62% | 88.06% |
| A Single-Shot Model for Robust Text Localization | 85.25% | 90.20% | 87.65% |
| EAST_clip_enhance_896_giou | 80.33% | 95.45% | 87.24% |
| test_1.6 | 87.87% | 81.54% | 84.59% |
| Yolov3_Autohome | 80.33% | 83.93% | 82.09% |
| EfficientDet and EAST | 73.77% | 91.30% | 81.61% |
| A Text Localization Method Based on CTPN | 78.69% | 82.98% | 80.78% |
| Receipt Info Extracting Task1 zone-dividing | 81.64% | 76.36% | 78.91% |
| Textline detection | 75.41% | 82.22% | 78.67% |
| base4 | 81.31% | 75.38% | 78.24% |
| test | 81.31% | 75.38% | 78.24% |
| Improved yolov3 model | 72.13% | 84.00% | 77.61% |
| YOLO Text Detector | 74.75% | 78.64% | 76.65% |
| Original CRAFT for SROIE | 70.82% | 74.92% | 72.81% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 66.89% | 73.20% | 69.90% |
| CTPN-SROIE | 61.97% | 75.81% | 68.19% |
| scene text detection weapon | 40.33% | 56.92% | 47.21% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 44.26% | 34.21% | 38.59% |