Modern applications demand intelligent document processing capabilities, but existing solutions force developers to choose between accuracy and performance. Traditional document parsing libraries struggle with:
Complex layouts and multi-format documents
Poor accuracy with tables, images, and structured data
Slow processing that doesnβt scale with enterprise needs
Limited integrations with modern vector databases and AI workflows
Inconsistent results across different document types
# Get started in secondspip install cerevox# Parse any document with 3 lines of codefrom cerevox import Lexaclient = Lexa(api_key="your-api-key")documents = client.parse(["report.pdf", "data.xlsx"])# Vector DB ready chunkschunks = documents.get_all_text_chunks(target_size=500)