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HomeBackend DevelopmentPython TutorialHow to use EasyOCR tool to recognize image text in Python

What is EasyOCR?

Description: EasyOCR is a python module for extracting text from images. It is a general-purpose OCR that can read both natural scene text and documents. Dense text in . Currently supports over 80 languages ​​and all popular writing scripts including: Latin, Chinese, Arabic, Sanskrit, Cyrillic, and more.

EasyOCR is an optical character recognition (OCR) tool implemented in PyTorch.

Q: What can you do with EasyOCR?

Description: EasyOCR supports two ways to run, one is a commonly used CPU, and the other requires GPU support and the CUDA environment needs to be installed. We use It can perform language and text recognition in pictures, such as picture recognition in mini programs and vehicle license plate recognition (i.e., car debt management system).

Install EasyOCR

In the command window, use pip to install the stable version of EasyOCR.

pip install easyocr

When you 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')

to execute the above code, the detection and recognition model will be automatically downloaded to the specified directory through the network.

  • ['ch_sim', 'en'],: Specify the recognized language

  • gpu=False,: Set whether to use GPU (EasyOCR It runs more efficiently on GPU. Set False when there is no GPU or insufficient GPU memory)

  • model_storage_directory='model/.',: Detect and identify the storage path of the model (when not set) Stored in the ~/.EasyOCR/model directory by default)

The recognition resultresult is a list, and each item in the list is a length of 3 recognition results, for example ([[189, 75], [469, 75], [469, 165], [189, 165]], 'Yuyuan Road', 0.3754989504814148) , which are bounding box, detected text and confidence values ​​respectively.

easyocr-server

EasyOCR server is a server for extracting text from images. It is a general-purpose OCR that can read both natural scene text and dense text in documents. Currently 80 languages ​​are supported and growing.

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 printed inference results in the browser.

How to use EasyOCR tool to recognize image text in Python

Deployment service through 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 Code Name
Abaza abq
Adyghe ady
Afrikaans af
Angika ang
Arabic ar
Assamese as
Avar ava
Azerbaijani az
Belarusian be
Bulgarian bg
Bihari bh
Bhojpuri bho
Bengali bn
Bosnian bs
Simplified Chinese ch_sim
Traditional Chinese ch_tra
Chechen che
Czech cs
Welsh cy
Danish da
Dargwa dar
German de
English en
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 ja
Kabardian kbd
Kannada kn
Korean ko
Kurdish ku
Latin la
Lak lbe
Lezghian lez
Lithuanian lt
Latvian lv
Magahi mah
Maithili mai
Maori mi
Mongolian mn
Marathi mr
Malay ms
Maltese mt
Nepali ne
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 ta
Tabassaran tab
Telugu te
Thai th
Tajik tjk
Tagalog tl
Turkish tr
Uyghur ug
Ukranian uk
Urdu ur
Uzbek uz
Vietnamese vi

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