UnDatasIO

UnDatasIO transforms unstructured documents into data assets for AI applications, including document parsing.

undatas.io
UnDatasIO homepage screenshot

About UnDatasIO

UnDatasIO converts unstructured documents such as PDFs and images into structured data for AI use. It extracts text, tables, formulas, and images while recognizing document layout, for use in RAG systems, AI agents, and analytics pipelines.

It provides an API and Python client for uploading files, parsing them, and reviewing results, with output options including JSON, CSV, Parquet, and SQL-like databases. The site describes use with mechanical drawings, financial statements, and legal documents, and mentions LangChain integration.

Key features

  • Parse PDFs and images into structured data
  • Extract text, tables, formulas, and images
  • Recognize document layouts
  • Export to JSON, CSV, Parquet, and SQL-like databases
  • Upload, parse, and review files via Python client
  • Connect to AI pipelines through API
Best for: Developers and teams building RAG systems, AI agents, or document processing workflows from PDFs and images.
Good for
  • Processes PDFs and images including tables, formulas, and images
  • Supports structured outputs including JSON, CSV, and Parquet
  • Provides API and Python client with LangChain integration noted

UnDatasIO at a glance

Website
undatas.io
Type
Online tool
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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UnDatasIO FAQ

What input documents does UnDatasIO handle?
PDFs and images, with examples listed as mechanical drawings, financial statements, and legal or litigation documents.
What output formats are available?
JSON, CSV, Parquet, and SQL-like databases.
How do developers work with UnDatasIO?
Through an API and Python client that uploads files, runs parsing, and shows upload and parsing history.
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