tesseract-ocrHow can I use Tesseract OCR to get the position of text?
Tesseract OCR is an open source optical character recognition (OCR) engine. It can be used to identify and extract text from images. To get the position of text using Tesseract OCR, you need to use the GetBoundingBoxText function. This function takes an image as an input and returns the coordinates of the bounding box of each character in the text.
Example code
import pytesseract
from PIL import Image
# Load image
img = Image.open('image.png')
# Get position of text
position = pytesseract.image_to_boxes(img)
# Print position of text
print(position)
Output example
h 10 11 0 1
e 12 11 0 1
l 14 11 0 1
l 16 11 0 1
o 18 11 0 1
The code above loads an image and uses the image_to_boxes function to get the position of the text in the image. The output is a list of characters and their coordinates.
The code consists of the following parts:
import pytesseract: imports the Tesseract OCR library.from PIL import Image: imports the Python Imaging Library (PIL) library.img = Image.open('image.png'): loads the image.position = pytesseract.image_to_boxes(img): uses theimage_to_boxesfunction to get the position of the text in the image.print(position): prints the position of the text.
Helpful links
More of Tesseract Ocr
- How do I add Tesseract OCR to my environment variables?
- How do I set the Windows path for Tesseract OCR?
- How do I access the official website of Tesseract OCR?
- How can I use Tesseract to perform zonal OCR?
- How do I use Tesseract OCR to extract text from a ZIP file?
- How do I install Tesseract-OCR using Yum?
- How do I use tesseract OCR to recognize different language codes?
- How do I use the Tesseract OCR API?
- How can I use Tesseract OCR with Xamarin?
- How do I install Tesseract OCR on Windows?
See more codes...