tesseract-ocrHow do I use Tesseract OCR in a Qiita article?
Using Tesseract OCR in a Qiita article is quite simple. First, you need to install the Tesseract OCR library. You can do this by running the following command:
$ pip install pytesseract
Once the library is installed, you can use it in your Qiita article by writing a code block with the following code:
import pytesseract
from PIL import Image
# Open image
image = Image.open('image.png')
# Recognize text with tesseract
text = pytesseract.image_to_string(image)
# Print recognized text
print(text)
This code will open the image image.png
and recognize the text inside it using Tesseract OCR. The recognized text will be printed in the output.
You can also use Tesseract OCR to detect text in other formats such as PDFs. For more information, you can check out the following links:
More of Tesseract Ocr
- How do I download the Tesseract OCR software from the University of Mannheim?
- How do I set the Windows path for Tesseract OCR?
- How do I add Tesseract OCR to my environment variables?
- How can I use UiPath and Tesseract OCR together to automate a process?
- How can I tune Tesseract OCR for optimal accuracy?
- How can I use tesseract ocr portable to recognize text in images?
- How can I use Tesseract OCR with Node.js?
- How can I use Tesseract OCR to set the Page Segmentation Mode (PSM) for an image?
- How to use Tesseract OCR to recognize numbers?
- How can I compare Tesseract OCR and OpenCV for optical character recognition?
See more codes...