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RECENT UPDATES

  • 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.

  • 2020.9.22 Update the PP-OCR technical article, https://arxiv.org/abs/2009.09941

  • 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.

  • 2020.6.8 Add datasets and keep updating

  • 2020.6.5 Support exporting attention model to inference_model

  • 2020.6.5 Support separate prediction and recognition, output result score

  • 2020.5.30 Provide Lightweight Chinese OCR online experience

  • 2020.5.30 Model prediction and training support on Windows system

  • 2020.5.30 Open source general Chinese OCR model

  • 2020.5.14 Release PaddleOCR Open Class

  • 2020.5.14 Release PaddleOCR Practice Notebook

  • 2020.5.14 Open source 8.6M lightweight Chinese OCR model