EasyOCR is an optical character recognition (OCR) tool implemented by PyTorch .
Install EasyOCR
In a command window, use pip to install the EasyOCR stable release.
pip install easyocr
Use EasyOCR
import easyocr
reader = easyocr.Reader(
['ch_sim', 'en'],
gpu=False,
model_storage_directory='model/.',
user_network_directory='model/.',
)
result = reader.readtext('examples/chinese.jpg')
When the above code is executed, the detection and recognition model will be automatically downloaded to the specified directory through the network.
['ch_sim', 'en'],: Specifies the recognized languagegpu=False,: Set whether to use GPU (EasyOCR runs more efficiently on GPU, set when there is no GPU or GPU memory is insufficientFalse)model_storage_directory='model/.',: The storage path of the detection and recognition model (it is stored in~/.EasyOCR/modelthe directory by default if it is not set)
The recognition result resultis a list, and each item in the list is a 3recognition result of length , for example ([[189, 75], [469, 75], [469, 165], [189, 165]], '愚园路', 0.3754989504814148), they are the bounding box , the detected text and the confidence value respectively.
easyocr-server
EasyOCR Server is a tool for extracting text from images. It is a general-purpose OCR that can read both natural scene text and dense text in documents. 80+ languages are currently supported and expanding.
installation steps
Step 0. Download easyocr-server from GitHub and install it.
git clone https://github.com/hekaiyou/easyocr-server.git
Step 1. Install easyocr , bottle and gevent modules using PyPI.
cd easyocr-server
pip install -r requirements.txt
verify installation
python main.py
- Browser: http://localhost:8080/ocr/
- CMD:
curl http://localhost:8080/ocr/ -F "language=en" -F "img_file=@examples/english.png"
After successful verification, you should be able to see the inference results printed in your browser.
Deploy the service via Docker
We provide a Dockerfile to build the image.
docker build -t easyocr-server:latest .
run it.
docker run -it -v {
DATA_DIR}:/workspace/model -p 8083:8080 easyocr-server:latest
language support
| Language | Code Name |
|---|---|
| He asks | abc |
| Adyghe | ady |
| Afrikaans | of |
| Angika | The |
| Arabic | ar |
| Assamese | as |
| Avar | ava |
| Azerbaijani | the |
| Belarusian | be |
| Bulgarian | bg |
| Bihari | bh |
| Bhojpuri | from |
| Bengali | bn |
| Bosnian | bs |
| Simplified Chinese | ch_sim |
| Traditional Chinese | ch_tra |
| Chechen | That |
| Czech | cs |
| Welsh | cy |
| Danish | and |
| Right away | but |
| German | of |
| English | in |
| Spanish | es |
| Estonian | et |
| Persian (Farsi) | fa |
| French | fr |
| Irish | ga |
| Goan Konkani | gom |
| Hindi | hi |
| Croatian | hr |
| Hungarian | hu |
| Indonesian | id |
| Ingush | inh |
| Icelandic | is |
| Italian | it |
| Japanese | and |
| Kabardian | kbd |
| Kannada | kn |
| Korean | is |
| Kurdish | to |
| Latin | the |
| Lak | lbe |
| Lezghian | speed |
| Lithuanian | lt |
| Latvian | lv |
| harder | mah |
| Maithili | May |
| Maori | mi |
| Mongolian | mn |
| Marathi | mr |
| Malay | ms |
| Maltese | mt |
| Nepali | it is |
| Newari | new |
| Dutch | nl |
| Norwegian | no |
| Occitan | oc |
| Pali | pi |
| Polish | pl |
| Portuguese | pt |
| Romanian | ro |
| Russian | ru |
| Serbian (cyrillic) | rs_cyrillic |
| Serbian (latin) | rs_latin |
| Nagpuri | sck |
| Slovak | sk |
| Slovenian | sl |
| Albanian | sq |
| Swedish | sv |
| Swahili | sw |
| Tamil | facing |
| Tabassaran | tab |
| Telugu | the |
| Thai | th |
| Tajik | tjk |
| Tagalog | tl |
| Turkish | tr |
| Uyghur | and |
| Ukranian | uk |
| Urdu | ur |
| Uzbek | to |
| Vietnamese | vi |
Modify easycr-server
The core code of the above easycr-server project is in GitHub: easyocr-server/ocr.py , which can be modified according to actual needs.