PaddleOCR/doc/doc_en/models_list_en.md

OCR model list（V1.1, updated on 9.22）

• 1. Text Detection Model
• 2. Text Recognition Model
  • Chinese Recognition Model
  • English Recognition Model
  • Multilingual Recognition Model
• 3. Text Angle Classification Model

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

model type	model format	description
inference model	model、params	Used for reasoning based on Python prediction engine. detail
trained model / pre-trained model	*.pdmodel、*.pdopt、*.pdparams	The checkpoints model saved in the training process, which stores the parameters of the model, mostly used for model evaluation and continuous training.
slim model	-	Generally used for Lite deployment

1. Text Detection Model

model name	description	model size	download
ch_ppocr_mobile_slim_v1.1_det	Slim pruned lightweight model, supporting Chinese, English, multilingual text detection	1.4M	inference model / slim model
ch_ppocr_mobile_v1.1_det	Original lightweight model, supporting Chinese, English, multilingual text detection	2.6M	inference model / trained model
ch_ppocr_server_v1.1_det	General model, which is larger than the lightweight model, but achieved better performance	47.2M	inference model / trained model

2. Text Recognition Model

Chinese Recognition Model

model name	description	model size	download
ch_ppocr_mobile_slim_v1.1_rec	Slim pruned and quantized lightweight model, supporting Chinese, English and number recognition	1.6M	inference model / slim model
ch_ppocr_mobile_v1.1_rec	Original lightweight model, supporting Chinese, English and number recognition	4.6M	inference model / trained model / pre-trained model
ch_ppocr_server_v1.1_rec	General model, supporting Chinese, English and number recognition	105M	inference model / trained model / pre-trained model

Note: The trained model is finetuned on the pre-trained model with real data and synthsized 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 synthsized data, which is more suitable for finetune on your own dataset.

English Recognition Model

model name	description	model size	download
en_ppocr_mobile_slim_v1.1_rec	Slim pruned and quantized lightweight model, supporting English and number recognition	0.9M	inference model / slim model
en_ppocr_mobile_v1.1_rec	Original lightweight model, supporting English and number recognition	2.0M	inference model / trained model

Multilingual Recognition Model（Updating...）

model name	description	model size	download
french_ppocr_mobile_v1.1_rec	Lightweight model for French recognition	2.1M	inference model / trained model
german_ppocr_mobile_v1.1_rec	German model for French recognition	2.1M	inference model / trained model
korean_ppocr_mobile_v1.1_rec	Lightweight model for Korean recognition	3.4M	inference model / trained model
japan_ppocr_mobile_v1.1_rec	Lightweight model for Japanese recognition	3.7M	inference model / trained model

3. Text Angle Classification Model

model name	description	model size	download
ch_ppocr_mobile_v1.1_cls_quant	Slim quantized model	0.5M	inference model / trained model / slim model
ch_ppocr_mobile_v1.1_cls	Original model	850kb	inference model / trained model

OCR model list（V1.0, updated on 7.16）

model name	description	detection model	recognition model	recognition model supporting space recognition
chinese_db_crnn_mobile	8.6M lightweight OCR model	inference model / trained model	inference model / trained model	inference model / trained model
chinese_db_crnn_server	General OCR model	inference model / trained model	inference model / trained model	inference model / trained model