Convert your PDF documents into audio files effortlessly with PDF to Audio Converter. This Python script harnesses the power of Optical Character Recognition (OCR) and Google's Text-to-Speech (gTTS) service to transform written content into spoken words. Ideal for accessibility, auditory learning, or enjoying documents on-the-go.

• PDF Text Extraction: Utilizes pdfplumber for precise text extraction.
• OCR Capability: Integrates pytesseract for handling image-based PDFs.
• Text-to-Speech: Leverages Google's gTTS API for high-quality audio output.
• Parallel Processing: Option for faster processing of multiple documents.
• Rate Limit Management: Smart retry logic with exponential backoff.
• Flexible CLI: Command-line interface for customizable configurations.

Get started with these simple steps:

• Python 3.x
• Required packages: pdfplumber, pytesseract, Pillow, gtts

pip install pdfplumber pytesseract Pillow gtts

pytesseract requires Tesseract OCR. Install it from Tesseract's GitHub page.

python main.py <input_folder> [--output_folder OUTPUT_FOLDER] [--audio_folder AUDIO_FOLDER] [options]

• input_folder: Folder containing PDF files.
• output_folder (optional): Folder for saving text files (defaults to script directory).
• audio_folder (optional): Folder for saving audio files (defaults to script directory).

• --language: Language for conversion (default: 'en').
• --parallel: Enable parallel processing (sequential by default).
• --retry_delay: Delay in seconds for retrying conversion (default: 5).
• --max_retries: Max retries for conversion (default: 10).

python main.py ./pdfs --output_folder ./texts --audio_folder ./audios --language fr --parallel --retry_delay 2 --max_retries 3

Processes PDFs in ./pdfs, saves text to ./texts, audio to ./audios, in French, with parallel processing, a 2-second retry delay, and a maximum of 3 retries.

Your contributions are welcome! Feel free to submit bug fixes, feature requests, or documentation improvements. Check out the issues and pull requests sections.

This project is under the MIT License - see the LICENSE file for details.