🎧 Vakta 2.0 — Text to Audio Converter

Overview

Vakta 2.0 is a lightweight and powerful Text-to-Audio Converter built with Python.
It can take any PDF, image, or text file and turn it into an audio file — so you can listen to books, notes, or documents hands-free.

The app features a clean graphical interface, automatic text extraction (even from scanned pages), and smooth background processing.

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✨ What’s New in Version 2.0

• Resolving the problem for scanned books pdf by using OCR.
• 🧠 OCR Support: Reads text from scanned PDFs and images using keras_ocr
• 🎨 Modern GUI: Built with tkinter in a dark theme
• ⚡ Threaded Processing: Uses Python’s threading and queue to keep the GUI responsive while converting files
• 🔊 Improved Audio Engine: Uses pyttsx3 for clear and natural text-to-speech output

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🧰 Tech Stack

Library	Purpose
pdfplumber	Extracts text from text-based PDFs
keras_ocr	Detects and reads text from scanned PDFs or images
pyttsx3	Converts text into an audio file
tkinter	Creates the graphical interface
threading & queue	Handles background tasks without freezing the GUI

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⚙️ Installation

You can set up Vakta 2.0 easily:

git clone https://github.com/yourusername/Vakta-2.0.git
cd Vakta-2.0
pip install pdfplumber pyttsx3 keras-ocr Pillow numpy

🧩 Note: The first time you run Vakta, keras_ocr may take a few minutes to download its models.

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🚀 How It Works

🧵 Threading and Background Tasks

Vakta 2.0 uses the threading module to handle conversions in a separate thread.
This ensures that the GUI never freezes while reading large PDFs or converting audio.

When you click “Create AudioBook”, a new thread is started:

threading.Thread(
    target=converter,
    args=(book_entry.get(), start_entry.get(), end_entry.get(), audio_entry.get(), task_queue),
    daemon=True
).start()

The Queue object (task_queue) is used to safely send status updates back to the main thread, which then updates the GUI labels using:

root.after(200, poll_queue)

This pattern keeps GUI feel active like every thing is happening at frontend.

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🚀 How to Use

1. Run the app:

   python vakta2.py

2. Choose a file (PDF, image, or text).
3. For PDFs, enter start and end page numbers.
4. Type a name for your audio file.
5. Click Create AudioBook.
   • The conversion runs in a background thread.
   • You’ll see live status messages (e.g., Processing page 3/10...).

Your audio (.mp3) file will be saved in the same folder.

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🖼️ Example Interface

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📦 Output Example

Opening PDF...
Processing page 1/4...
Extracted text successfully, converting to audio...
✅ Conversion Finished: saved as output.mp3

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💡 Future Ideas

• 🗣️ Selectable voices (male/female)
• 🎛️ Adjustable speech speed and pitch
• 📁 Output folder selection
• 📚 Batch file conversion

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👨‍💻 About

Vakta 2.0 was developed by Karlex to make reading easier and more accessible.
It’s free, open-source, and designed to turn your reading material into an audiobook effortlessly.

Version: 2.0
License: MIT