Parse PDFs, images, and spreadsheets into LLM-ready HTML/Markdown or JSON. OCR, layout detection, reading order, bounding boxes, citations, and schema-based extraction.
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Sign InLumina is an advanced document parsing API designed to transform unstructured documents into structured, LLM-ready data. Its core value proposition lies in converting complex PDFs, images, and spreadsheets into clean, semantically rich HTML, Markdown, or JSON formats, thereby bridging the gap between raw documents and actionable AI insights. This tool automates the tedious process of data extraction, enabling developers and businesses to feed high-quality, structured information directly into large language models and other data pipelines.
Key features: Lumina offers a comprehensive suite of capabilities including optical character recognition (OCR) for scanned documents, intelligent layout detection to preserve tables and columns, and logical reading order reconstruction for multi-column texts. It provides bounding box coordinates for precise element localization, generates citations to trace data back to its source document, and supports schema-based extraction to pull specific fields like invoices or contracts into custom JSON structures. For example, it can parse a financial report PDF, identify all tables and charts, extract the numerical data into a structured format, and cite the exact page and location of each figure.
What sets Lumina apart from basic OCR tools is its deep understanding of document semantics and structure, optimized specifically for LLM consumption. It goes beyond simple text extraction by maintaining the hierarchical relationships and visual context of the original document. Technically, it leverages state-of-the-art computer vision and natural language processing models. It integrates seamlessly via a developer-friendly REST API, supports batch processing, and can handle a wide variety of document types and languages, making it a robust backend service for automation platforms.
Ideal for AI developers, data scientists, and enterprises dealing with large volumes of documents. Specific use cases include automating legal document review, processing financial statements for analysis, digitizing archival records for research, and feeding parsed data into RAG (Retrieval-Augmented Generation) systems. Industries such as legal tech, fintech, healthcare for processing medical forms, and academic research heavily benefit from its ability to turn document chaos into structured, queryable knowledge bases.
Lumina operates on a freemium model, offering a free tier with limited pages per month to get started, with paid plans scaling based on usage volume and advanced features like high-volume batch processing and priority support. This allows small projects to experiment before committing to higher-volume enterprise needs.