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 to perform zonal OCR?
- How do I set the Tesseract OCR environment variable?
- How do I use Tesseract OCR to extract text from a ZIP file?
- How do I add Tesseract OCR to my environment variables?
- How do I use tesseract-ocr with yocto?
- How do I install Tesseract OCR on Windows?
- How can I use Python to get the coordinates of words detected by Tesseract OCR?
- How can I use Tesseract OCR with Java Spring Boot?
- How do I install a language for Tesseract OCR?
- How can I use Tesseract OCR to recognize handwritten text?
See more codes...