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A package for extracting and formatting content from various sources

Project description

DataReader

A Python package for extracting and formatting content from various sources including PDFs, URLs, videos, and audio files.

Features

  • PDF processing with multiple backends (PyMuPDF, pypdf, markitdown)
  • Web page content extraction
  • Video content processing
  • Audio transcription
  • Markdown formatting

Installation

Basic Installation

pip install datareader

With Optional Dependencies

# For PDF processing
pip install "datareader[pdf]"

# For audio processing
pip install "datareader[audio]"

# For video processing
pip install "datareader[video]"

# For all features
pip install "datareader[all]"

Quick Start

from datareader import DataReader

# Process a PDF file
text = DataReader.read_pdf("document.pdf")

# Process a URL
web_content = DataReader.read_url("https://example.com")

# Process a video file
transcript = DataReader.read_video("video.mp4")

# Process an audio file
audio_text = DataReader.read_audio("audio.mp3")

# Save as markdown
DataReader.save_markdown(text, "output.md")

Command Line Usage

The package provides command-line scripts for batch processing:

# Process PDFs
./run_pdf.sh

# Process URLs
./run_url.sh

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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

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