tesseract-ocrHow do I use Tesseract OCR to convert a PDF document to text?
To use Tesseract OCR to convert a PDF document to text, you can use the pytesseract Python library.
First, install the library using pip install pytesseract.
Then, import the library in your Python script:
import pytesseract
Next, you can use the image_to_string function to convert the PDF file to a string of text:
text = pytesseract.image_to_string('./my_document.pdf')
print(text)
The output of the code will be a string of text extracted from the PDF document.
You can also use the image_to_data function to get more detailed information about the text extracted from the PDF document:
data = pytesseract.image_to_data('./my_document.pdf')
print(data)
The output of the code will be a dictionary containing information about the text, such as the text itself, the location of the text, and the confidence of the text recognition.
For more information on using Tesseract OCR with Python, please refer to the official documentation.
More of Tesseract Ocr
- How can I use Tesseract OCR to set the Page Segmentation Mode (PSM) for an image?
- How can I use Tesseract to perform zonal OCR?
- How do I install Tesseract-OCR using Yum?
- How do I add Tesseract OCR to my environment variables?
- How do I use Tesseract OCR with Yum?
- How do I download the Tesseract OCR software from the University of Mannheim?
- How can I use Tesseract OCR to recognize math formulas?
- How do I create a traineddata file for Tesseract OCR?
- How can I use Tesseract OCR in a React Native application?
- What are the system requirements for using the Tesseract OCR?
See more codes...