UnDatas.IO

Teams building AI applications, RAG systems, and intelligent document processing pipelines need to extract text, tables, formulas, and images from messy unstructured sources like PDFs and images, but existing tools struggle with layout recognition, complex tables, and formulas. The testimonials describe lawyers spending hours in non-billable document review, risk teams buried under regulatory guidelines and validation reports, and insurers with critical information locked in decades of unstructured policy documents and claims reports. Without accurate parsing, these professionals must manually search through documents, a slow and error-prone process. The company's own comparison table shows competing tools like Docling and unstructured.io scoring poorly on layout, tables, and formula extraction.

UnDatasIO is an API-based platform that parses documents such as PDFs, DOCX, PPTX, images, audio, and video, extracting text, tables, formulas, and images into structured formats like JSON, CSV, Parquet, or SQL-like databases. Its engine performs intelligent layout and table detection, supports scanned and handwritten documents, and preserves reading order, with a published comparison claiming 90% formula accuracy and 0.5 seconds per page processing speed. Users integrate it via a Python client (upload, parse, view versions) and pay per credit consumed, with different credit costs for fast, accurate, and multi-modal parsing modes as well as audio/video transcription and segmentation. The platform is positioned for manufacturing and engineering (mechanical drawings), finance (financial statements), and legal (litigation documents) use cases, and is listed as an official core data-processing provider in the LangChain ecosystem.