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Read Me My Book App Project


In today’s fast-paced world, carrying physical books can be cumbersome. The “Read Me My Book App” offers a convenient solution by transforming your hardcopy books into digital PDFs. With features like Optical Character Recognition (OCR) and Text to Speech, this app brings your favorite books right to your phone.

How It Works

The app uses your phone’s camera to capture images of hardcopy book pages. These images are then processed using OCR technology to convert them into text. The text is saved as a PDF, making it easy to read or even listen to using the app’s ‘read to me’ feature.

Key Features

  • Optical Character Recognition (OCR): Converts images of text into editable and searchable text.
  • Text to Speech: Reads the text out loud, offering a ‘read to me’ experience.
  • Page Management: Allows you to add or delete pages, giving you control over your digital book.
  • User-Friendly Interface: Simple and intuitive, making it easy for anyone to use.


  • Space-Saving: Store countless books on your device without taking up physical space.
  • Read Anytime, Anywhere: The convenience of having your books in digital form means you can read whenever you wish.


  • Library Loss: The tactile experience of a physical library is lost when books are digitized.


The “Read Me My Book App” is a game-changer for book lovers. It not only digitizes your hardcopy books but also offers a ‘read to me’ feature, making reading more accessible and convenient than ever.

Sample Code

First, install the required packages:

pip install Flask
pip install pytesseract
pip install Pillow
from flask import Flask, request, jsonify
from PIL import Image
import pytesseract
import io

app = Flask(__name__)

@app.route('/upload', methods=['POST'])
def upload_file():
        # Get the image from the request
        image_file = request.files['image']
        image =

        # Perform OCR on the image
        text = pytesseract.image_to_string(image)

        # Convert text to PDF (you can use a library for this, this is just a placeholder)
        pdf_text = f"<pdf>{text}</pdf>"

        # Text-to-Speech (you can use a library for this, this is just a placeholder)
        audio = f"<audio>{text}</audio>"

        return jsonify({
            'status': 'success',
            'pdf_text': pdf_text,
            'audio': audio

    except Exception as e:
        return jsonify({
            'status': 'error',
            'message': str(e)

if __name__ == '__main__':
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