Solutions / Intelligent Document Processing
Intelligent Document Processing
Intelligent Document Processing: Paper In, Data Out
Document intake grows; skilled reviewers do not. Intelligent Document Processing reads, classifies, and validates bulk paperwork into structured data, with people reviewing only the exceptions that need judgment.
The document pipeline
Trusted where the stakes are high
How It Works
From paper to structured data
Read everything
OCR and handwriting recognition process every page, including Perso-Arabic scripts and rough scans.
Classify and extract
Documents sorted by type, structure understood, fields extracted, duplicates and bad files caught.
Route with rules
Agentic workflows apply your logic, send exceptions to reviewers, and deliver data to your systems.
What You Get
The intake pile, structurally solved
Reads what scanners actually produce
Handwriting, Perso-Arabic scripts, and skewed or low-quality scans, not just the clean PDFs of a product demo.
Fields land where they belong
Layout detection preserves tables, headers, and columns, so extraction fills the right field, not the nearest one.
Filed the moment it arrives
Supervised and unsupervised classification sorts every document by type on entry.
Bad files stop at the door
Integrity checks, malware detection, and duplicate identification run at the gate.
Your rules, no code
Agentic workflows apply business logic you draw, with human review reserved for exceptions.
Finishes inside your systems
Triggered by schedule, webhook, or API; structured output delivered to ERP, CMS, and databases.
Who It's For
Built for the intake that never stops arriving
Lenders processing loan files, insurers handling claims paperwork, government agencies digesting citizen submissions, logistics teams reading shipping documents, and healthcare administrators taming referral faxes run intelligent document processing on this workflow. Documents arrive by schedule, webhook, or API; OCR and ICR read the real world, including handwriting and bad scans; classification and extraction structure the data; and people see only the exceptions the rules could not settle.
FAQ
Intelligent document processing, asked and answered
What is intelligent document processing?
IDP turns bulk document intake into structured, validated data: OCR and ICR reading, layout-aware extraction, automatic classification, and business-rule validation, with human review reserved for exceptions.
Can it read messy real-world documents?
Yes. Handwriting, Perso-Arabic scripts, and skewed or low-quality scans, not just clean PDFs. Layout detection preserves tables, headers, and columns so extraction lands in the right field.
Where does the extracted data go?
Into your systems: structured output flows to ERP, CMS, and databases through APIs, with runs triggered by schedule, webhook, or API call, and an anonymization option where downstream systems should not see PII.
How are exceptions handled?
No-code agentic workflows apply your business logic and route only low-confidence or rule-breaking documents to human review, so people check judgment calls, not every page.
What stops bad files at the gate?
Integrity checks, malware detection, and duplicate identification run at intake, before a corrupt or recycled file gets into the pipeline.
Feed it your worst intake pile
Send a batch of real documents. We will return structured data and the exception queue.