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 can I use Tesseract OCR with Node.js?
- How can I use Tesseract to perform zonal OCR?
- How do I use Tesseract OCR to extract text from a ZIP file?
- How can I use Tesseract OCR with VBA?
- How can I adjust the timeout for Tesseract OCR?
- How do I use tesseract-ocr with yocto?
- How can I use Tesseract OCR with Golang?
- How do I add Tesseract OCR to my environment variables?
- How do I use the Tesseract OCR engine in different modes?
- How do I set the Windows path for Tesseract OCR?
See more codes...