tesseract-ocrHow can I use tesseract OCR to test online documents?
Tesseract OCR is an open source library for optical character recognition. It can be used to test online documents by extracting text from images or PDF files.
Here is an example of how to use Tesseract OCR to test an online document:
# Import the Tesseract OCR library
from pytesseract import image_to_string
# Load the image from the online document
image = Image.open('document.png')
# Use the image_to_string() method to extract the text from the image
text = image_to_string(image)
# Print the extracted text
print(text)
The output of the above code will be the text extracted from the online document.
Code explanation
from pytesseract import image_to_string
- imports the Tesseract OCR library.image = Image.open('document.png')
- loads the image from the online document.text = image_to_string(image)
- uses the image_to_string() method to extract the text from the image.print(text)
- prints the extracted text.
Helpful links
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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