tesseract-ocrHow can I use Tesseract OCR with HuggingFace?
You can use Tesseract OCR with HuggingFace by using the transformers
library. This library allows you to integrate Tesseract OCR with HuggingFace's natural language processing (NLP) models. Here is an example of how you can use Tesseract OCR with HuggingFace:
from transformers import pipeline
text_recognition = pipeline('ocr')
# Pass the image to the pipeline
result = text_recognition('path/to/image.png')
# Print the text
print(result)
The output of the code above will be a list of text that was detected in the image.
The code is composed of the following parts:
- Importing the
pipeline
from thetransformers
library. - Creating a text recognition pipeline with the
pipeline
function. - Passing the image to the pipeline with the
text_recognition
function. - Printing the text with the
print
function.
Helpful links
More of Tesseract Ocr
- How do I download and install Tesseract OCR?
- How do I add Tesseract OCR to my environment variables?
- How can I use Python to get the coordinates of words detected by Tesseract OCR?
- How do I set the Windows path for Tesseract OCR?
- How do I install Tesseract OCR on Windows?
- How can I use Tesseract OCR on Windows via the command line?
- How can I configure Tesseract OCR options?
- How do I use Tesseract OCR on macOS?
- How do I install Tesseract-OCR using Yum?
- How can I use Tesseract OCR with Xamarin Forms?
See more codes...