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 can I integrate Tesseract OCR into a Unity project?
- How do I install Tesseract-OCR using Yum?
- How do I use the Tesseract OCR source code?
- How can I use Tesseract OCR to recognize text in two languages?
- How do I access the official website of Tesseract OCR?
- How can I use Tesseract to perform zonal OCR?
- How can I decide between Tesseract OCR and TensorFlow for my software development project?
- How can I use Tesseract OCR with Xamarin?
- How can I test Tesseract OCR online?
- How can I determine which file types are supported by Tesseract OCR?
See more codes...