How to use the "Pytesseract" class library in Python to extract
How to use the "Pytesseract" class library in Python to extract
Overview:
‘Pytesseract’ is a Python class library for text recognition. It uses the Tesseract OCR engine to implement the extraction function of the text on the picture.Tesseract OCR is an open source OCR (optical character recognition) engine, which can convert the text in the picture into editing text formats.This article will introduce how to use the "Pytesseract" class library to extract the picture text, and provide a complete code example and related configuration description.
step:
1. Install the ‘pytesseract’ library:
Before starting, you need to ensure that the Tesseract OCR engine and the "Pytesseract" library are installed.First of all, you can download and install Tesseract OCR from https://github.com/tesseract-cr/tesseract.Depending on the operating system, you can install it on Windows, Linux or Mac.
Then, you can use the PIP command to install the "Pytesseract" class library:
shell
pip install pytesseract
2. Import the required class library:
In the Python program, the required libraries need to be introduced first.In addition to `Pytesseract`, you also need to import the picture of the` Python Imaging Library).
python
import pytesseract
from PIL import Image
3. Set Tesseract OCR engine path:
Before using the `Pytesseract`, you need to set the installation path for the Tesseract OCR engine.You can use the path of Tesseract OCR with `pytesseract.pytesseract.tesseract_cmd`.
python
pytesseract.pytesseract.tesseract_cmd = r'Path to Tesseract OCR executable'
Replace the path of the `Path to Tesseract OCR Executable'`` to the path of the Tesseract OCR engine you installed.
4. Open and process the picture:
Before starting text extraction, you need to open and process pictures to be processed.You can use the `iMAGE` class library's` Open` method to open the picture file, and convert the picture into gray image through the `convert` method.
python
image = Image.open('image.jpg').convert('L')
Replace the `iMage.jpg'` to the actual path to be processed.
5. Execute text extraction:
Use the `Pytesseract.image_to_String` method to execute text extraction.This method accepts a parameter, that is, the picture object to be processed, and return the extracted text content.
python
text = pytesseract.image_to_string(image, lang='chi_sim')
print(text)
Specify Chinese characters by setting the `lang` parameter to` chi_sim'` to specify the recognition of Chinese characters.If you need to identify other languages, you can change the parameter as needed.
6. Complete code example:
The following is a complete code example using the ‘Pytesseract’ class library to extract the picture text:
python
import pytesseract
from PIL import Image
# Set Tesseract OCR engine path
pytesseract.pytesseract.tesseract_cmd = r'Path to Tesseract OCR executable'
# Open and process pictures
image = Image.open('image.jpg').convert('L')
# 取 extract
text = pytesseract.image_to_string(image, lang='chi_sim')
print(text)
Instead of the path of the 'Path to Tesseract OCR EXECUTABLE'' to the path of the Tesseract OCR engine you installed, and replace the `Image.jpg'` to the actual path to be processed.
Summarize:
By using the "Pytesseract" library, we can easily implement the extraction of picture text.First, you need to install the Tesseract OCR engine and the "Pytesseract" library, and configure the engine by setting a path.Then, we can open and process the picture, and use the `pytesseract.image_to_string` method to execute the text extraction.In this way, the text in the picture can be extracted into editable text formats to facilitate subsequent processing and analysis.
