Transform unstructured documents into structured AI-ready data automatically
UnDatasIO solves the problem of trapped enterprise data by converting unstructured documents like PDFs, images, and audio files into usable formats. It automatically identifies tables, text, and visual elements then outputs clean JSON or Markdown. The tool helps teams accelerate AI projects by turning messy files into analysis-ready data through seamless API integration.
Extract data from PDFs, images, audio, and video files
Automatically detect tables, formulas, and text positioning
Connect to existing workflows with Python client library
Flexible usage-based pricing across document types
Encrypted file handling with automatic retention policies
Supports PDF, DOCX, PPTX, JPG, PNG, HTML, MD, MP3, MP4, M4A, with ongoing format additions
1 credit = 1 document page parsed or 10 seconds of audio/video processed, with credits shared across services
All files and results are encrypted, protected by strict security measures
This tool is best for:
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Recent data shows that UnDatasIO has 0 monthly visits (-100.0% decrease from the previous month), 0.0% bounce rate, and average 0.00 pages per visit.
Traffic is primarily driven by 6 different sources. SEO performance is shown by 5 tracked keywords, with "how to map image with the text using unstructured python for pdf" being the top-performing keyword with 0 monthly searches. See below for more info.
Pages per Visit
0.00
Bounce Rate
0.0%
| SEO Keyword | Volume | CPC |
|---|---|---|
| how to map image with the text using unstructured python for pdf | 0 | - |
| other than miner, plumber and reader, what other pdf extractions are there in python | 0 | - |
| undatasio | 20 | - |
| pillow is required to do image extraction. it can be installed via 'pip install pypdf[image]' | 90 | - |
| pypdf vs pymupdf | 60 | - |
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