Solutions / Intelligent Document Processing

Document Processing Automation

Intelligent Document Processing: Paper In, Data Out

Document processing automation that reads, classifies and validates bulk paperwork into structured data, with people reviewing only the exceptions that need judgment.

The document pipeline

Paper & scansImagesReadOCR + handwritingClassify & extractLayout-awareExceptions onlyHuman reviewInto your systemsERP / CMS / DB

Trusted where the stakes are high

ExxonmobilJohn CockerillThe HartfordDavis PolkCleary GottliebWhite And CaseUs Department Of StateCalifornia DmvMissouri Department Of RevenueMolina HealthcareEl Dorado Community Health CentersMemorial Sloan KetteringFarmers And Merchants BankCapitaHaidar Capital ManagementKapsarcOman LngSaudi Water AuthorityUmass Chan Medical SchoolOu College Of Medicine

Pick your back office, see the queue clear

Paper that finally becomes data. Forms, correspondence and scanned records read, classified and extracted, with a human only on the exceptions.

  • Reads difficult scans. Handwriting recognition, skewed and low-quality originals.
  • Structure preserved. Layout detection keeps headers, tables and columns intact.
  • Air-gapped where needed. Runs fully disconnected on local models.

Benefits paperwork at caseload volume. Eligibility documents classified and extracted, routed onward, with exceptions surfaced rather than everything reviewed.

  • Classified automatically. Supervised and unsupervised classification.
  • PII handled. 40+ categories with country-specific patterns.
  • Human on exceptions. Graph workflows with review only where confidence is low.

Onboarding without the typing. Applications and supporting documents extracted into the systems that need them, triggered by schedule, webhook or API.

  • Integrity checked. File assessment flags altered or duplicate documents.
  • Routed onward. Output delivered to ERP, CMS and databases.
  • Audit per decision. A record of what was extracted and why.

Clinical paperwork, structured. Referrals, forms and correspondence read and routed without a person retyping them.

  • PHI-aware. Detection across transcripts, documents and recognised text.
  • Inside your boundary. Processing in your own environment.
  • Perso-Arabic and more. Script-aware recognition beyond Latin text.

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.

OCR + ICRPerso-ArabicImperfect scans

Fields land where they belong

Layout detection preserves tables, headers, and columns, so extraction fills the right field, not the nearest one.

Layout detectionField extraction

Filed the moment it arrives

Supervised and unsupervised classification sorts every document by type on entry.

Auto-classificationTaxonomies

Bad files stop at the door

Integrity checks, malware detection, and duplicate identification run at the gate.

File assessmentDeduplication

Your rules, no code

No-code document processing: agentic workflows apply the business logic you draw, with human review reserved for exceptions.

No-code IDPAgentic workflowsHuman in the loop

Finishes inside your systems

Triggered by schedule, webhook, or API; structured output delivered to ERP, CMS, and databases.

ERP/CMS APIsAnonymization option

How It Works

How document processing automation works

01

Read everything

OCR and handwriting recognition process every page, including Perso-Arabic scripts and rough scans.

02

Classify and extract

Documents sorted by type, structure understood, fields extracted, duplicates and bad files caught.

03

Route with rules

Agentic workflows apply your logic, send exceptions to reviewers, and deliver data to your systems.

FAQ

Document processing automation and IDP, 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.