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 download the Tesseract OCR software from the University of Mannheim?
- How to install Tesseract OCR on Windows?
- How do I use the tesseract OCR Windows exe?
- How do I install and use Tesseract OCR on Ubuntu?
- What are some common tesseract OCR interview questions?
- How can I improve the quality of my Tesseract OCR output?
- How do I use Tesseract OCR to process a PNG image?
- How do I install and use language packs with Tesseract OCR?
- How do I use tesseract OCR to recognize different language codes?
- How can I use Tesseract OCR online?
See more codes...