tesseract-ocrHow can I use tesseract OCR?
Tesseract OCR is an optical character recognition (OCR) engine that can be used to recognize text from images. It is an open-source software developed by Google and is available for free.
To use tesseract OCR, you need to install it on your system. You can install it using pip or conda.
Once installed, you can use the following example code to recognize text from an image:
from PIL import Image
import pytesseract
img = Image.open('example.png')
text = pytesseract.image_to_string(img)
print(text)
The output of the above code will be the text contained in the image.
The code consists of the following parts:
from PIL import Image
imports the Python Imaging Library (PIL) module which is used to open the image.import pytesseract
imports the Tesseract OCR library.img = Image.open('example.png')
opens the image file.text = pytesseract.image_to_string(img)
uses the Tesseract OCR library to recognize text from the image.print(text)
prints the recognized text.
For more information on using Tesseract OCR, you can refer to the official documentation.
More of Tesseract Ocr
- How do I download the Tesseract OCR software from the University of Mannheim?
- How do I set the Windows path for Tesseract OCR?
- How do I add Tesseract OCR to my environment variables?
- How can I use UiPath and Tesseract OCR together to automate a process?
- How can I tune Tesseract OCR for optimal accuracy?
- How can I use tesseract ocr portable to recognize text in images?
- How can I use Tesseract OCR with Node.js?
- How can I use Tesseract OCR to set the Page Segmentation Mode (PSM) for an image?
- How to use Tesseract OCR to recognize numbers?
- How can I compare Tesseract OCR and OpenCV for optical character recognition?
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