MICROEXTRACT

Intelligent Document Processing: from documents to trusted data.

Intelligent Document Processing (IDP) turns semi-structured and unstructured business documents into data that downstream systems can use. The hard part is not only extraction - it is deciding what output can be trusted and what requires review.

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What is Intelligent Document Processing?

Intelligent Document Processing combines document ingestion, OCR or document understanding, AI-assisted field extraction, validation, exception handling and integration. It is used when document layouts vary and manual re-keying is too slow, expensive or risky.

Short answer

IDP is the automation layer between incoming business documents and structured business data. A robust workflow reads the document, extracts the required fields, validates the result, routes exceptions and delivers an accepted schema downstream.

1. IngestEmail, SFTP, API, storage
2. ExtractOCR + AI understanding
3. ValidateRules + reference checks
4. ReviewExplainable exceptions
5. DeliverERP, API, workflow
OCR

Reads characters

OCR converts images or scans into machine-readable text. It is a building block, not the whole automation workflow.

AI DOCUMENT EXTRACTION

Finds meaning

AI-assisted extraction identifies fields, tables and relationships across variable document layouts.

VALIDATED IDP

Controls the output

Business rules, exception handling and delivery determine whether extracted data is ready for downstream use.

Where IDP is useful

High-value use cases include invoice data extraction, purchase order extraction, bill of lading extraction, finance operations, logistics and custom shared-service workflows.

How to evaluate an IDP implementation

  • Which document types and layouts are in scope?
  • Which fields must be correct?
  • Which rules determine acceptance?
  • What should happen when a rule fails?
  • Where should validated data be delivered?
  • What security, retention and deployment boundaries apply?

MicroExtract's approach

MicroExtract separates flexible AI extraction from deterministic business validation. That makes it possible to use AI where document variability requires it while keeping explicit controls around the data that reaches business systems.

Planning an IDP or document extraction project?

Bring us the document type, volume, required fields, validation rules and target system.

Book an Assessment →See Implementation