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 use tesseract-ocr with yocto?
- How do I download the Tesseract OCR software from the University of Mannheim?
- How do I install Tesseract OCR on Windows?
- How can I tune Tesseract OCR for optimal accuracy?
- How can I use Tesseract OCR on a Raspberry Pi?
- How can I use Tesseract OCR to set the Page Segmentation Mode (PSM) for an image?
- How can I use Tesseract OCR on an NVIDIA GPU?
- How can I test Tesseract OCR online?
- How can I use Tesseract OCR to scan a receipt?
- How can I use Tesseract OCR to recognize Romanian text?
See more codes...