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Paddleocr Vl Python Packages

Python packages with the GitHub topic paddleocr-vl. Sorted by relevance, with stars and monthly downloads.
PaddlePaddle
paddleocr

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

2.2M 78K 10K
PaddlePaddle
fadoudou2

Awesome OCR toolkits based on PaddlePaddle(8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embedded and IoT devices)

458 78K 10K
PaddlePaddle
paddleocrwordleveldetection

Awesome OCR toolkits based on PaddlePaddle (8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embeded and IoT devices

295 78K 10K
PaddlePaddle
langchain-paddleocr

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

237 78K 10K
PaddlePaddle
je-paddleocr

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

237 78K 10K
PaddlePaddle
ppocrlabel-japan

PPOCRLabelv2 is a semi-automatic graphic annotation tool suitable for OCR field, with built-in PP-OCR model to automatically detect and re-recognize data. It is written in Python3 and PyQT5, supporting rectangular box, table, irregular text and key information annotation modes. Annotations can be directly used for the training of PP-OCR detection and recognition models.

155 78K 10K
PaddlePaddle
paddleocr-fagougou

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

1 78K 10K
PaddlePaddle
fadoudou

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

1 78K 10K
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