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_boxes
function 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 set the Windows path for Tesseract OCR?
- How do I add Tesseract OCR to my environment variables?
- How can I use Tesseract OCR with Visual Studio C++?
- How can I use Tesseract OCR with Xamarin?
- How can I identify and mitigate potential vulnerabilities in Tesseract OCR?
- How can I integrate Tesseract OCR into a Unity project?
- How to install and use Tesseract OCR on Ubuntu 22.04?
- How do I use Tesseract OCR to extract text from a ZIP file?
- How do I install Tesseract-OCR using Yum?
- How can I use Tesseract to perform zonal OCR?
See more codes...