How to convert unstructured documents into audit-ready data for compliance and automation

How to convert unstructured documents into audit-ready data for compliance and automation

This task can be performed using Datalab

Open‑source, state‑of‑the‑art AI for documents, simplified.

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Datala

Datalab provides high-precision document intelligence models that convert complex PDFs and office files into structured, audit-ready data. Teams use its API to parse, segment, extract, and trace document content for AI pipelines, automation, and retrieval-augmented generation across flexible cloud and on-prem deployments.

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What to expect from an ideal product

  1. Extract text, tables, and images from PDFs and office documents while maintaining their original structure and relationships for compliance tracking
  2. Parse complex document layouts into clean, organized data that auditors can easily review and validate without manual reformatting
  3. Trace every piece of extracted information back to its source location in the original document to meet audit trail requirements
  4. Convert messy, inconsistent file formats into standardized structured data that automated systems can reliably process and analyze
  5. Segment documents into logical sections and data points that compliance teams can quickly search, filter, and report on during audits

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