tesseract-ocrHow can I use tesseract OCR to process images?
Tesseract OCR is an open-source Optical Character Recognition (OCR) engine used to process images and extract text from them. To use Tesseract OCR to process images, you need to perform the following steps:
-
Pre-process the image: This includes resizing the image, adjusting the contrast, and converting it to a binary image.
-
Pass the image to Tesseract: This can be done using the
pytesseract
library in Python.
Example code
import pytesseract
from PIL import Image
# Load the image
image = Image.open('sample.png')
# Pre-process the image
image = image.resize((800, 800))
image = image.convert('L')
image = image.point(lambda x: 0 if x<200 else 255, '1')
# Pass the image to Tesseract
text = pytesseract.image_to_string(image)
print(text)
Output example
This is a sample text.
- Post-process the extracted text: This includes removing any unwanted characters, applying spell-check, and converting the text into the desired format.
For further information, please refer to the official Tesseract OCR documentation:
More of Tesseract Ocr
- How do I add Tesseract OCR to my environment variables?
- How do I install Tesseract OCR on Windows?
- How can I use Python to get the coordinates of words detected by Tesseract OCR?
- How do I download the Tesseract OCR software from the University of Mannheim?
- How do tesseract ocr and easyocr compare in terms of accuracy and speed of text recognition?
- How do I set the Windows path for Tesseract OCR?
- How can I use Tesseract OCR on Windows via the command line?
- How can I identify and mitigate potential vulnerabilities in Tesseract OCR?
- How can I tune Tesseract OCR for optimal accuracy?
- How can I use Tesseract OCR to set the Page Segmentation Mode (PSM) for an image?
See more codes...