Zum Inhalt springen
ModelAufgelistetExtern
Herunterladen

Paddleocr Onnx

Multilingual OCR models from PaddleOCR, converted to ONNX format for production deployment.

ArtOtherVersionRevision 7ff07e6CBewertung

Modellquelle

Art
Other
Dateigröße
2,32–84,0 MB
Version
vRevision 7ff07e6
Aktualisiert
13. Sept. 2026
Downloads
0
Quelle
Hugging Face

Quellenauszug

Multilingual OCR models from PaddleOCR, converted to ONNX format for production deployment.

Quellen

1 Quelle
Hugging FacePrimärVersion 7ff07e683f78dde6f7a5df7268f1056138f08d8a
huggingface.co/Kiuyha/paddleocr-onnx/tree/7ff07e683f78dde6f7a5df7268f1056138f08d8a

Verifiziert 20. Aug.

Modellartefakte

16 Artefakte

detection/v3/det.onnx

onnx · 2,32 MB · SHA-256 ee40e80071ba…b935 · Hugging Face

Herunterladen

detection/v5/det.onnx

onnx · 84,0 MB · SHA-256 61824840edf6…0133 · Hugging Face

Herunterladen

languages/arabic/rec.onnx

onnx · 8,56 MB · SHA-256 7982d3716127…0c9a · Hugging Face

Herunterladen

languages/chinese/rec.onnx

onnx · 80,6 MB · SHA-256 26fa4f47060f…c38a · Hugging Face

Herunterladen

languages/english/rec.onnx

onnx · 7,47 MB · SHA-256 4e16deb22c4d…4cd7 · Hugging Face

Herunterladen

languages/eslav/rec.onnx

onnx · 7,51 MB · SHA-256 dc6bf0e85524…cdee · Hugging Face

Herunterladen

languages/greek/rec.onnx

onnx · 7,43 MB · SHA-256 13373f736dbb…a7a3 · Hugging Face

Herunterladen

languages/hindi/rec.onnx

onnx · 8,56 MB · SHA-256 43df175fa3c8…d4cf · Hugging Face

Herunterladen

languages/korean/rec.onnx

onnx · 12,8 MB · SHA-256 322f140154c8…1eaa · Hugging Face

Herunterladen

languages/latin/rec.onnx

onnx · 7,50 MB · SHA-256 614ffc2d6d39…4409 · Hugging Face

Herunterladen

languages/tamil/rec.onnx

onnx · 8,55 MB · SHA-256 fba9a00af746…ca4f · Hugging Face

Herunterladen

languages/telugu/rec.onnx

onnx · 8,56 MB · SHA-256 669946d9ad4d…57ee · Hugging Face

Herunterladen

languages/thai/rec.onnx

onnx · 7,51 MB · SHA-256 2b6e56b18722…669a · Hugging Face

Herunterladen

preprocessing/doc-orientation/PP-LCNet_x1_0_doc_ori.onnx

onnx · 6,47 MB · SHA-256 f5516822af92…45ef · Hugging Face

Herunterladen

preprocessing/doc-unwarping/UVDoc.onnx

onnx · 30,2 MB · SHA-256 3f5ec09f1c6c…b00c · Hugging Face

Herunterladen

preprocessing/textline-orientation/PP-LCNet_x1_0_textline_ori.onnx

onnx · 6,46 MB · SHA-256 34ec07c0bcd5…1e1a · Hugging Face

Herunterladen

Quellenauszüge

2 Auszüge

--- license: apache-2.0 language: - en - fr - de - es - it - pt - nl - pl - cs - sk - hr - bs - sr - sl - da - "no" - sv - is - et - lt - hu - sq - cy - ga - tr - id - ms - af - sw - tl - uz - la - ru - bg - uk - be - ko - zh - ja - th - el - hi - mr - ne - sa - ar - ur - fa - ta - te tags: - ocr - optical-character-recognition - text-detection - text-recognition - paddleocr - onnx - computer-vision - document-ai library_name: onnx pipeline_tag: image-to-text --- # PP-OCR ONNX Models Multilingual OCR models from PaddleOCR, converted to ONNX format for production deployment. **Use as a complete pipeline**: Integrate with [monkt.com](https://monkt.com) for end-to-end document processing. **Source**: [PaddlePaddle PP-OCRv5 Collection](https://huggingface.co/collections/PaddlePaddle/pp-ocrv5-684a5356aef5b4b1d7b85e4b) **Format**: ONNX (optimized for inference) **License**: Apache 2.0 --- ## Overview **16 models** covering **48+ languages**: - 11 PP-OCRv5 models (latest, highest accuracy) - 5 PP-OCRv3 models (legacy, additional language support) --- ## Quick Start ### Download from HuggingFace ```bash pip install huggingface_hub rapidocr-onnxruntime ``` <details> <summary><b>Download specific language models</b></summary> ```python from huggingface_hub import hf_hub_download # Download English models det_path = hf_hub_download("monkt/paddleocr-onnx", "detection/v5/det.onnx") rec_path = hf_hub_download("monkt/paddleocr-onnx", "languages/english/rec.onnx") dict_path = hf_hub_download("monkt/paddleocr-onnx", "languages/english/dict.txt") # Use with RapidOCR from rapidocr_onnxruntime import RapidOCR ocr = RapidOCR(det_model_path=det_path, rec_model_path=rec_path, rec_keys_path=dict_path) result, elapsed = ocr("document.jpg") ``` </details> <details> <summary><b>Download entire language folder</b></summary> ```python from huggingface_hub import snapshot_download # Download all French/German/Spanish (Latin) models snapshot_download("monkt/paddleocr-onnx", allow_patterns=["detection/v5/*", "languages/latin/*"]) # Download Arabic models (v3) snapshot_download("monkt/paddleocr-onnx", allow_patterns=["detection/v3/*", "languages/arabic/*"]) ``` </details> <details> <summary><b>Clone entire repository</b></summary> ```bash git clone https://huggingface.co/monkt/paddleocr-onnx cd paddleocr-onnx ``` </details> ### Basic Usage ```python from rapidoc...

Source context: 0 downloads · 2 likes · Pipeline image-to-text · Library onnx · Repo Kiuyha/paddleocr-onnx