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OCR Model List（V3, updated on 2022.4.28）

Note

  1. Compared with the model v2, the 3rd version of the detection model has a improvement in accuracy, and the 2.1 version of the recognition model has optimizations in accuracy and speed with CPU.
  2. Compared with models 1.1, which are trained with static graph programming paradigm, models 2.0 or higher are the dynamic graph trained version and achieve close performance.
  3. All models in this tutorial are all ppocr-series models, for more introduction of algorithms and models based on public dataset, you can refer to algorithm overview tutorial.

The downloadable models provided by PaddleOCR include inference model, trained model, pre-trained model and nb model. The differences between the models are as follows:

model type model format description
inference model inference.pdmodel、inference.pdiparams Used for inference based on Paddle inference engine，detail
trained model, pre-trained model *.pdparams、*.pdopt、*.states The checkpoints model saved in the training process, which stores the parameters of the model, mostly used for model evaluation and continuous training.
nb model *.nb Model optimized by Paddle-Lite, which is suitable for mobile-side deployment scenarios (Paddle-Lite is needed for nb model deployment).

Relationship of the above models is as follows.

1. Text Detection Model

1. Chinese Detection Model

model name description config model size download
ch_PP-OCRv3_det_slim [New] slim quantization with distillation lightweight model, supporting Chinese, English, multilingual text detection ch_PP-OCRv3_det_cml.yml 1.1M inference model / trained model / nb model
ch_PP-OCRv3_det [New] Original lightweight model, supporting Chinese, English, multilingual text detection ch_PP-OCRv3_det_cml.yml 3.8M inference model / trained model
ch_PP-OCRv2_det_slim [New] slim quantization with distillation lightweight model, supporting Chinese, English, multilingual text detection ch_PP-OCRv2_det_cml.yml 3.0M inference model
ch_PP-OCRv2_det [New] Original lightweight model, supporting Chinese, English, multilingual text detection ch_PP-OCRv2_det_cml.yml 3.0M inference model / trained model
ch_ppocr_mobile_slim_v2.0_det Slim pruned lightweight model, supporting Chinese, English, multilingual text detection ch_det_mv3_db_v2.0.yml 2.6M inference model
ch_ppocr_mobile_v2.0_det Original lightweight model, supporting Chinese, English, multilingual text detection ch_det_mv3_db_v2.0.yml 3.0M inference model / trained model
ch_ppocr_server_v2.0_det General model, which is larger than the lightweight model, but achieved better performance ch_det_res18_db_v2.0.yml 47.0M inference model / trained model

1.2 English Detection Model

model name description config model size download
en_PP-OCRv3_det_slim [New] Slim qunatization with distillation lightweight detection model, supporting English ch_PP-OCRv3_det_cml.yml 1.1M inference model / trained model / nb model
en_PP-OCRv3_det [New] Original lightweight detection model, supporting English ch_PP-OCRv3_det_cml.yml 3.8M inference model / trained model
  • Note: English configuration file is same as Chinese except training data, here we only provide one configuration file.

1.3 Multilingual Detection Model

model name description config model size download
ml_PP-OCRv3_det_slim [New] Slim qunatization with distillation lightweight detection model, supporting English ch_PP-OCRv3_det_cml.yml 1.1M inference model / trained model / nb model
ml_PP-OCRv3_det [New] Original lightweight detection model, supporting English ch_PP-OCRv3_det_cml.yml 3.8M inference model / trained model
  • Note: English configuration file is same as Chinese except training data, here we only provide one configuration file.

2. Text Recognition Model

2.1 Chinese Recognition Model

model name description config model size download
ch_PP-OCRv3_rec_slim [New] Slim qunatization with distillation lightweight model, supporting Chinese, English text recognition ch_PP-OCRv3_rec_distillation.yml 4.9M inference model / trained model / nb model
ch_PP-OCRv3_rec [New] Original lightweight model, supporting Chinese, English, multilingual text recognition ch_PP-OCRv3_rec_distillation.yml 12.4M inference model / trained model
ch_PP-OCRv2_rec_slim Slim qunatization with distillation lightweight model, supporting Chinese, English text recognition ch_PP-OCRv2_rec.yml 9.0M inference model / trained model
ch_PP-OCRv2_rec Original lightweight model, supporting Chinese, English, multilingual text recognition ch_PP-OCRv2_rec_distillation.yml 8.5M inference model / trained model
ch_ppocr_mobile_slim_v2.0_rec Slim pruned and quantized lightweight model, supporting Chinese, English and number recognition rec_chinese_lite_train_v2.0.yml 6.0M inference model / trained model
ch_ppocr_mobile_v2.0_rec Original lightweight model, supporting Chinese, English and number recognition rec_chinese_lite_train_v2.0.yml 5.2M inference model / trained model / pre-trained model
ch_ppocr_server_v2.0_rec General model, supporting Chinese, English and number recognition rec_chinese_common_train_v2.0.yml 94.8M inference model / trained model / pre-trained model

Note: The trained model is fine-tuned on the pre-trained model with real data and synthesized vertical text data, which achieved better performance in real scene. The pre-trained model is directly trained on the full amount of real data and synthesized data, which is more suitable for fine-tune on your own dataset.

2.2 English Recognition Model

model name description config model size download
en_PP-OCRv3_rec_slim [New] Slim qunatization with distillation lightweight model, supporting english, English text recognition en_PP-OCRv3_rec.yml 3.2M inference model / trained model / nb model
en_PP-OCRv3_rec [New] Original lightweight model, supporting english, English, multilingual text recognition en_PP-OCRv3_rec.yml 9.6M inference model / trained model
en_number_mobile_slim_v2.0_rec Slim pruned and quantized lightweight model, supporting English and number recognition rec_en_number_lite_train.yml 2.7M inference model / trained model
en_number_mobile_v2.0_rec Original lightweight model, supporting English and number recognition rec_en_number_lite_train.yml 2.6M inference model / trained model

2.3 Multilingual Recognition Model（Updating...）

model name dict file description config model size download
korean_PP-OCRv3_rec ppocr/utils/dict/korean_dict.txt Lightweight model for Korean recognition korean_PP-OCRv3_rec.yml 11.0M inference model / trained model
japan_PP-OCRv3_rec ppocr/utils/dict/japan_dict.txt Lightweight model for Japanese recognition japan_PP-OCRv3_rec.yml 11.0M inference model / trained model
chinese_cht_PP-OCRv3_rec ppocr/utils/dict/chinese_cht_dict.txt Lightweight model for chinese cht chinese_cht_PP-OCRv3_rec.yml 12.0M inference model / trained model
te_PP-OCRv3_rec ppocr/utils/dict/te_dict.txt Lightweight model for Telugu recognition te_PP-OCRv3_rec.yml 9.6M inference model / trained model
ka_PP-OCRv3_rec ppocr/utils/dict/ka_dict.txt Lightweight model for Kannada recognition ka_PP-OCRv3_rec.yml 9.9M inference model / trained model
ta_PP-OCRv3_rec ppocr/utils/dict/ta_dict.txt Lightweight model for Tamil recognition ta_PP-OCRv3_rec.yml 9.6M inference model / trained model
latin_PP-OCRv3_rec ppocr/utils/dict/latin_dict.txt Lightweight model for latin recognition latin_PP-OCRv3_rec.yml 9.7M inference model / trained model
arabic_PP-OCRv3_rec ppocr/utils/dict/arabic_dict.txt Lightweight model for arabic recognition arabic_PP-OCRv3_rec.yml 9.6M inference model / trained model
cyrillic_PP-OCRv3_rec ppocr/utils/dict/cyrillic_dict.txt Lightweight model for cyrillic recognition cyrillic_PP-OCRv3_rec.yml 9.6M inference model / trained model
devanagari_PP-OCRv3_rec ppocr/utils/dict/devanagari_dict.txt Lightweight model for devanagari recognition devanagari_PP-OCRv3_rec.yml 9.9M inference model / trained model

For a complete list of languages ​​and tutorials, please refer to : Multi-language model

3. Text Angle Classification Model

model name description config model size download
ch_ppocr_mobile_slim_v2.0_cls Slim quantized model for text angle classification cls_mv3.yml 2.1M inference model / trained model / nb model
ch_ppocr_mobile_v2.0_cls Original model for text angle classification cls_mv3.yml 1.38M inference model / trained model

4. Paddle-Lite Model

Paddle Lite is an updated version of Paddle-Mobile, an open-open source deep learning framework designed to make it easy to perform inference on mobile, embeded, and IoT devices. It can further optimize the inference model and generate nb model used for edge devices. It's suggested to optimize the quantization model using Paddle-Lite because INT8 format is used for the model storage and inference.

This chapter lists OCR nb models with PP-OCRv2 or earlier versions. You can access to the latest nb models from the above tables.

Version Introduction Model size Detection model Text Direction model Recognition model Paddle-Lite branch
PP-OCRv2 extra-lightweight chinese OCR optimized model 11.0M download link download link download link v2.10
PP-OCRv2(slim) extra-lightweight chinese OCR optimized model 4.6M download link download link download link v2.10
PP-OCRv2 extra-lightweight chinese OCR optimized model 11.0M download link download link download link v2.9
PP-OCRv2(slim) extra-lightweight chinese OCR optimized model 4.9M download link download link download link v2.9
V2.0 ppocr_v2.0 extra-lightweight chinese OCR optimized model 7.8M download link download link download link v2.9
V2.0(slim) ppovr_v2.0 extra-lightweight chinese OCR optimized model 3.3M download link download link download link v2.9