tesseract-ocrHow do I create a demo of Tesseract OCR?
- Download and install Tesseract OCR from this link.
- Create a Python file,
demo.py
and insert the following code block:
import pytesseract
from PIL import Image
# Load image
image = Image.open("sample.png")
# Run Tesseract OCR
text = pytesseract.image_to_string(image)
# Print the recognized text
print(text)
- Run the script with
python demo.py
to get the recognized text from the input imagesample.png
:
This is a sample text
- To improve the accuracy of the output, you can pass additional parameters to the
image_to_string
function, such aslang
(for the language of the text) andconfig
(for custom configurations). - To learn more about Tesseract OCR and its usage, refer to this guide.
- To test the accuracy of your OCR model, you can use the Tesseract Evaluation Tool.
- For further information, you can also refer to this tutorial.
More of Tesseract Ocr
- How do I create a traineddata file for Tesseract OCR?
- How can I use Tesseract to perform zonal OCR?
- How do I use the Tesseract OCR source code?
- How can I use tesseract ocr portable to recognize text in images?
- How do I add Tesseract OCR to my environment variables?
- How do I install Tesseract-OCR using Yum?
- How can I use Tesseract OCR with Xamarin Forms?
- How do I set the Windows path for Tesseract OCR?
- How can I decide between Tesseract OCR and TensorFlow for my software development project?
- How to install and use Tesseract OCR on Ubuntu 22.04?
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