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 to install Tesseract OCR on Windows?
- How do I use the tesseract OCR Windows exe?
- How do I install and use Tesseract OCR on Ubuntu?
- What are some common tesseract OCR interview questions?
- How can I improve the quality of my Tesseract OCR output?
- How do I use Tesseract OCR to process a PNG image?
- How do I install and use language packs with Tesseract OCR?
- How do I use tesseract OCR to recognize different language codes?
- How can I use Tesseract OCR online?
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