tesseract-ocrHow can I test the accuracy of my Tesseract OCR implementation?

Testing the accuracy of an Tesseract OCR implementation can be done in several ways.

1. The first way is to use a sample image and manually compare the output of the OCR implementation with the actual text in the image. This can be done by running the following code:

import pytesseract
from PIL import Image

# Load the image
image = Image.open('sample.png')

# Run the OCR
text = pytesseract.image_to_string(image)
print(text)

Output example

This is a sample text

2. Another way to test the accuracy of the OCR implementation is to use a set of images with known text and compare the output of the OCR implementation with the known text.

3. A third way to test the accuracy of the OCR implementation is to use a pretrained model and compare the output of the OCR implementation with the output of the pretrained model.

4. Finally, a fourth way to test the accuracy of the OCR implementation is to use a third-party tool such as the Tesseract Accuracy Test to measure the accuracy of the OCR implementation on a set of images with known text.

Helpful links

• PyTesseract
• Tesseract Accuracy Test

Edit this code on GitHub