├── Input image.png
├── README.md
├── Sourcecode
└── img to text py project.pdf


/Input image.png:
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https://raw.githubusercontent.com/lava1201/Image-to-textconverter-using-Python/c71a52e76fb79a69aae7c2a0c908efcb6080a0a6/Input image.png


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/README.md:
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 1 | # Image-to-textconverter-using-Python
 2 | The primary purpose of this script is to extract text from images. It can be handy when you have images containing textual information that you want to convert into editable text format.
 3 | # Installation of Libraries
 4 | pip install Pillow pytesseract- Installs the Python Imaging Library (Pillow) for image processing and pytesseract, a wrapper for Tesseract OCR engine.
 5 | 
 6 | !apt-get install tesseract-ocr- Installs the Tesseract OCR engine.
 7 | 
 8 | !apt-get install libtesseract-dev- Installs the development files for Tesseract
 9 | # Features
10 | Support for Various Image Formats-It supports various image formats including JPEG, PNG.
11 | 
12 | Language Support- Tesseract OCR supports multiple languages, enabling extraction of text in different languages and scripts.
13 | 


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/Sourcecode:
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 1 | pip install Pillow pytesseract
 2 | !apt-get install tesseract-ocr
 3 | !apt-get install libtesseract-dev
 4 | !pip install pytesseract
 5 | from PIL import Image
 6 | import pytesseract
 7 | 
 8 | # Defining path to Tesseract executable
 9 | pytesseract.pytesseract.tesseract_cmd = "/usr/bin/tesseract"  # Update this path if needed
10 | 
11 | # Image path
12 | image_path = "/content/Screenshot (415).png"  # Update this path
13 | 
14 | # Open the image
15 | img = Image.open(image_path)
16 | 
17 | # Extract text from the image
18 | text = pytesseract.image_to_string(img)
19 | 
20 | # Display the extracted text
21 | print(text)
22 | 


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/img to text py project.pdf:
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https://raw.githubusercontent.com/lava1201/Image-to-textconverter-using-Python/c71a52e76fb79a69aae7c2a0c908efcb6080a0a6/img to text py project.pdf


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