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 do I add Tesseract OCR to my environment variables?
- How can I use Tesseract OCR with Xamarin Forms?
- How can I use Tesseract OCR with Xamarin?
- How do I use Tesseract OCR for Korean language text recognition?
- How can I use Tesseract to perform zonal OCR?
- How do I install Tesseract-OCR using Yum?
- 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?
See more codes...