PP-OCRv3: With comparable speed, the effect of Chinese scene is further improved by 5% compared with PP-OCRv2, the effect of English scene is improved by 11%, and the average recognition accuracy of 80 language multilingual models is improved by more than 5%.
PPOCRLabelv2: Add the annotation function for table recognition task, key information extraction task and irregular text image.
Interactive e-book "Dive into OCR", covers the cutting-edge theory and code practice of OCR full stack technology.
2022.5.7 Add support for metric and model logging during training to Weights & Biases
2021.12.21 release PaddleOCR v2.4, release 1 text detection algorithm (PSENet), 3 text recognition algorithms (NRTR、SEED、SAR), 1 key information extraction algorithm (SDMGR) and 3 DocVQA algorithms (LayoutLM、LayoutLMv2，LayoutXLM)
2021.9.7 release PaddleOCR v2.3, PP-OCRv2 is proposed. The CPU inference speed of PP-OCRv2 is 220% higher than that of PP-OCR server. The F-score of PP-OCRv2 is 7% higher than that of PP-OCR mobile
2021.8.3 released PaddleOCR v2.2, add a new structured documents analysis toolkit, i.e., PP-Structure, support layout analysis and table recognition (One-key to export chart images to Excel files)
2021.4.8 release end-to-end text recognition algorithm PGNet which is published in AAAI 2021. Find tutorial here；release multi language recognition models, support more than 80 languages recognition; especically, the performance of English recognition model is Optimized
2021.1.21 update more than 25+ multilingual recognition models models list, including：English, Chinese, German, French, Japanese，Spanish，Portuguese Russia Arabic and so on. Models for more languages will continue to be updated Develop Plan
2020.12.15 update Data synthesis tool, i.e., Style-Text，easy to synthesize a large number of images which are similar to the target scene image
2020.11.25 Update a new data annotation tool, i.e., PPOCRLabel, which is helpful to improve the labeling efficiency. Moreover, the labeling results can be used in training of the PP-OCR system directly
2020.9.19 Update the ultra lightweight compressed ppocr_mobile_slim series models, the overall model size is 3.5M, suitable for mobile deployment
2020.9.17 update English recognition model and Multilingual recognition model, English, Chinese, German, French, Japanese and Korean have been supported. Models for more languages will continue to be updated
2020.8.24 Support the use of PaddleOCR through whl package installation，pelease refer PaddleOCR Package
2020.8.16 Release text detection algorithm SAST and text recognition algorithm SRN
2020.7.23, Release the playback and PPT of live class on BiliBili station, PaddleOCR Introduction, address
2020.7.15, Add mobile App demo , support both iOS and Android ( based on easyedge and Paddle Lite)
2020.7.15, Improve the deployment ability, add the C + + inference , serving deployment. In addtion, the benchmarks of the ultra-lightweight Chinese OCR model are provided
2020.7.15, Add several related datasets, data annotation and synthesis tools
2020.7.9 Add a new model to support recognize the character "space"
2020.7.9 Add the data augument and learning rate decay strategies during training