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 install and use language packs with Tesseract OCR?
- How do I set the Windows path for Tesseract OCR?
- How do I download the Tesseract OCR software from the University of Mannheim?
- How do I install Tesseract OCR on Windows?
- How do I add Tesseract OCR to my environment variables?
- How do I set the path for Tesseract OCR?
- How do tesseract ocr and easyocr compare in terms of accuracy and speed of text recognition?
- How do I use tesseract-ocr with yocto?
- How can I use Python to get the coordinates of words detected by Tesseract OCR?
- How do I download the Tesseract OCR engine?
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