automated-document-parser 0.1.4

A powerful and automated document parser built with LangChain for intelligent document processing

Automated Document Parser

A powerful and automated document parser built with LangChain for intelligent document processing. This library automatically detects file types and uses the appropriate loader to parse documents into LangChain-compatible formats.

Features

• Automatic file type detection based on file extensions
• Support for multiple document formats: PDF, TXT, CSV, JSON, DOCX, HTML, Markdown
• Built on LangChain for seamless integration with RAG applications
• Type-safe implementation with comprehensive error handling
• Batch processing support for multiple documents

Installation

Install from PyPI:

pip install automated-document-parser

Or using uv:

uv add automated-document-parser

Quick Start

Basic Usage

from automated_document_parser import DocumentParser

# Initialize the parser
parser = DocumentParser()

# Parse a single document
documents = parser.parse("path/to/document.pdf")

# Parse multiple documents
file_paths = ["doc1.pdf", "doc2.txt", "data.csv"]
parsed_docs = parser.parse_multiple(file_paths)

Working with Parsed Documents

# Access document content and metadata
for doc in documents:
    print(f"Content: {doc.page_content}")
    print(f"Source: {doc.metadata['source']}")
    print(f"Type: {doc.metadata['file_type']}")

License

MIT License - see LICENSE file for details.

Contributing

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