What's included
Reduction in
manual workflow load
Quick answer
What Is Intelligent Document Processing (IDP)?
Intelligent document processing (IDP), also called document intelligence, uses OCR, machine learning and generative AI to classify documents, extract data, validate it against rules, compare it with other sources and route exceptions for human review. Tech Tammina’s IDP solution turns unstructured documents into structured, auditable data inside your business workflows.
Why Document-Heavy Work Gets Stuck
Most business data still arrives as PDFs, scans, emails and spreadsheets. People re-key it, compare it by eye and chase missing pages. It is slow, costly and easy to get wrong.
Older OCR tools could read text but not meaning. Modern AI understands layout, context and intent. The challenge is using it with the controls enterprises need.
Re-keyed data
People type data from PDFs, scans and emails.
Compared by eye
Values are checked manually across documents.
Missing pages
Teams chase incomplete document packages.
Text without meaning
Older OCR tools read text but not meaning.
How it works
How Document Intelligence Works in Six Steps
Capture → Classify → Extract → Validate → Enrich → Deliver
Capture
Email, upload, portal, scanner, API or shared folder.
Classify
Identify each document type and split multi-document packages.
Extract
Capture fields, tables, clauses and key facts.
Validate
Check values against rules, reference data and confidence thresholds.
Enrich
Combine document facts with system data for full context.
Deliver
Send clean data to systems, reports and workflows — with source evidence.
Outcomes
What You Can Measure
Manual data entry hours
Straight-through processing rate
Exception rate and review time
Data quality in downstream systems
AI Document Capabilities Beyond Extraction
Summarization
Short, grounded summaries of long documents.
Comparison
Differences between documents or versions.
Question Answering
Users ask questions and see the page that holds the answer.
Handwriting and Scans
Flags patterns for investigators — never an automated verdict.
Evidence Links
Every value links back to its place in the source document.
Continuous Improvement
Reviewer corrections improve future results.
Secure, Auditable AI
Document Processing
Confidence thresholds decide what goes straight through and what needs review. Access controls limit who sees what. Every extraction, correction and approval is logged. Sensitive data can be masked or kept in your own cloud.
What clients say
Alex Rivera
The team didn’t just build an automation; they re-engineered our entire operations workflow. We’re moving twice as fast now.
Sarah Jenkins
“Finally, an automation partner who actually understands enterprise security requirements. No hand-waving, just solid execution.”
Michael Rodriguez
“The team understood our complex integration requirements and built something that just works. Worth every penny.”
Marcia Solis
They made sense of our complex requirements and produced a solution that just works. Couldn’t be happier with the value.
Adam Smith
They quickly grasped our complicated integration needs and delivered a solution that works flawlessly. Absolutely worth the investment.
Document Intelligence FAQs
What’s the difference between OCR and document intelligence?
OCR only turns images into text. Document intelligence understands that text — it classifies, extracts, checks and acts on it.
Can it read messy scans and different layouts?
Yes. It uses AI that understands layout and context, and low-confidence results go to a person.
What happens when the AI isn’t sure?
The item goes to a reviewer with the source page highlighted.
Will our documents be used to train public AI models?
No. Your data stays within approved environments and is not used to train public models.
Can it connect to our systems?
Yes, through APIs, file exchange or workflow integration.