| NetEase OCR | 100.00% | 100.00% | 100.00% |
| Linklogis_BeeAI | 100.00% | 100.00% | 100.00% |
| Linklogis_BigData | 100.00% | 97.87% | 98.92% |
 BOE_IOT_AIBD | 97.83% | 97.83% | 97.83% |
| BreSee OCR | 97.83% | 97.83% | 97.83% |
| DR Team | 99.13% | 96.33% | 97.71% |
| BOE_AIoT_CTO | 97.39% | 95.00% | 96.18% |
| Samsung Life Insurance | 93.04% | 99.09% | 95.97% |
| Ping An Property & Casualty Insurance Company | 97.83% | 93.75% | 95.74% |
| H&H Lab | 97.83% | 93.75% | 95.74% |
| SCUT-DLVC-Lab-Refinement | 97.83% | 93.75% | 95.74% |
| Clova OCR | 97.83% | 93.75% | 95.74% |
| EfficientDet and EAST | 97.83% | 93.75% | 95.74% |
| MDetector | 97.83% | 93.75% | 95.74% |
| Sunshine_OCR | 97.83% | 93.75% | 95.74% |
| 58CV | 99.13% | 90.77% | 94.77% |
| IFLYTEK-textDet_v3 | 95.65% | 93.62% | 94.62% |
| EM_ocr | 95.65% | 93.62% | 94.62% |
| 58 OCR100 | 97.39% | 91.20% | 94.19% |
| A modified CTPN model 2.0 | 95.65% | 91.67% | 93.62% |
| Textline detection | 91.30% | 91.30% | 91.30% |
| BiLSTM Based on CTPN | 91.30% | 91.30% | 91.30% |
| Gem AI - OCR Team | 93.04% | 88.98% | 90.97% |
| GREAT-OCR Shanghai University | 93.48% | 87.76% | 90.53% |
| only PAN | 91.30% | 89.36% | 90.32% |
| Unet and Morphology Prediction | 91.30% | 85.71% | 88.42% |
| Granville ocr | 89.13% | 85.42% | 87.23% |
| A modified CTPN model 1.0 | 89.13% | 85.42% | 87.23% |
| ICA-IVA | 86.96% | 83.33% | 85.11% |
| EAST_clip_enhance_896_giou | 82.61% | 82.61% | 82.61% |
| SituTech_OCR | 82.61% | 80.85% | 81.72% |
| MCTPN2 | 82.61% | 80.85% | 81.72% |
| YOLO Text Detector | 80.00% | 80.00% | 80.00% |
| A Single-Shot Model for Robust Text Localization | 80.43% | 77.08% | 78.72% |
| SROIE Fourth Submission | 80.00% | 76.73% | 78.33% |
| CITlab Argus Textline Detection | 78.26% | 76.60% | 77.42% |
| PhucPH | 78.26% | 76.60% | 77.42% |
| CTPN-SROIE | 75.22% | 77.08% | 76.14% |
| Pixellink multi-scale Detection | 76.09% | 76.09% | 76.09% |
| HeReceipt-Rotation | 76.09% | 72.92% | 74.47% |
| Improved yolov3 model | 70.87% | 72.77% | 71.81% |
| A Text Localization Method Based on CTPN | 71.74% | 70.21% | 70.97% |
| EAST modified | 71.74% | 70.21% | 70.97% |
| ViTLP | 67.39% | 67.39% | 67.39% |
| Yolov3_Autohome | 66.52% | 64.40% | 65.44% |
| Vsdnu | 65.22% | 63.83% | 64.52% |
| test_1.7 | 54.35% | 51.02% | 52.63% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 53.48% | 48.21% | 50.71% |
| base1 | 52.17% | 48.98% | 50.53% |
| base2 | 52.17% | 48.98% | 50.53% |
| base3 | 52.17% | 48.98% | 50.53% |
| scene text detection weapon | 38.70% | 58.13% | 46.46% |
| test_1.6 | 41.30% | 38.78% | 40.00% |
| Original CRAFT for SROIE | 34.35% | 28.28% | 31.02% |
| base4 | 23.91% | 22.45% | 23.16% |
| test | 23.91% | 22.45% | 23.16% |
| Unet Segmentation and Watershed | 19.57% | 17.65% | 18.56% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 13.91% | 6.07% | 8.45% |
| Receipt Info Extracting Task1 zone-dividing | 0.00% | 0.00% | 0.00% |