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AI Document Processing

Extract Intelligence From Any Document With AI

We build AI document processing pipelines that extract, classify, and structure data from PDFs, scanned documents, forms, and images — eliminating manual data entry across insurance, legal, and healthcare workflows.

Document Processing — ActiveGPT-4 Vision + Textract
[Document ingested]insurance_claim_form_84729.pdf — 4 pages, scanned at 300dpi
[Classification]Document type: Auto Insurance Claim Form (98% confidence)
[OCR complete]Text extracted — 847 characters, 2 handwritten fields detected
[Field extraction]Claimant name, DOL, policy number, damage description, amount — extracted
[Validation running]Checking required fields, date formats, policy number format…
[CRM push]Structured data queued for Salesforce claims pipeline injection
Today: 1,847 documents processedZero manual entry
99%
Extraction Accuracy
on structured document types
10Ɨ
Faster Processing
vs manual document review
Zero
Manual Data Entry
fully automated extraction
Any
Document Format
PDF, scanned, image, form

What We Build for AI Document Processing

Six core capabilities delivered in every document intelligence system we architect and deploy.

OCR & Image Recognition

High-accuracy optical character recognition for scanned documents, handwritten notes, and photo-captured forms. GPT-4 Vision and AWS Textract combined for best-in-class accuracy across document quality levels.

PDF Data Extraction

Structured extraction of key fields, tables, line items, dates, amounts, and entities from native and scanned PDFs — insurance claim forms, invoices, tax documents, contracts, and medical records.

Document Classification

AI models that automatically classify incoming documents by type — contract, invoice, claim form, ID document, medical record, tax filing — and route them to the correct processing workflow instantly.

Form Processing

Intelligent form field detection and extraction for structured forms: insurance applications, medical intake forms, loan applications, and government forms — handling variable layouts and handwritten entries.

Document Intelligence

Beyond extraction — AI that understands document content. Summarization, entity recognition, clause identification in contracts, risk factor detection in insurance documents, and anomaly flagging in financial records.

Compliance Verification

Automated compliance checks against regulatory requirements: verifying required fields are present, flagging missing signatures, checking date validity, confirming mandatory disclosures, and generating audit trails.

Document Types We Process

Insurance Claim FormsLegal ContractsMedical RecordsInvoices & POsTax DocumentsBank StatementsLoan ApplicationsPrior Auth FormsBills of LadingCustoms DeclarationsMedical Intake FormsNDAsCourt FilingsIdentity DocumentsLab Results

How We Build Your Document Processing System

From document audit to production pipeline in 4-6 weeks.

01

Document Audit

We analyze a representative sample of your document types — 200-500 documents across all variants, formats, and quality levels. We identify the highest-value extraction fields, assess OCR complexity, and map the downstream systems that need the extracted data.

02

Model Selection

We select the optimal processing stack for your document types: GPT-4 Vision for complex, variable-layout documents requiring reasoning; AWS Textract for high-volume structured forms with consistent layouts; Azure Form Recognizer for pre-built models on common document types like invoices and tax forms.

03

Training & Fine-tuning

For domain-specific documents, we fine-tune extraction models on your annotated document samples. Insurance claim forms, legal contracts, and medical records have specialized terminology and field layouts that benefit significantly from domain-specific training.

04

Integration

We build intake pipelines (email ingestion, SFTP, API upload, document management system connectors) and output integrations (database writes, CRM updates, ERP data push, downstream API calls) so extracted data flows directly into your operational systems.

05

Validation & QA

Every extraction pipeline includes confidence scoring, human review queues for low-confidence extractions, field validation logic (date formats, amount ranges, required field checks), and exception handling workflows. We set accuracy benchmarks and don't go live until they're met.

Technology Stack

OpenAI GPT-4 VisionClaudeAWS TextractAzure Form RecognizerLangChainFastAPIPostgreSQL

AI Document Processing Across Industries

We build document processing systems tailored to the specific document types, field structures, and compliance requirements of each industry.

Insurance

Insurance claim forms, FNOL processing, policy documents, coverage verification, loss run reports, medical bills for claims — automated extraction and compliance checking

Legal

Contract analysis and clause extraction, due diligence document review, NDA processing, court filing extraction, legal discovery document classification

Healthcare

Medical records and clinical notes extraction, prior authorization forms, patient intake processing, lab result structuring, prescription data extraction

Finance

Invoice processing and three-way matching, tax document extraction, bank statement analysis, financial report data extraction, KYC document verification

Logistics

Bill of lading processing, customs declaration extraction, delivery receipt OCR, freight invoice automation, hazmat documentation compliance checks

Government

Permit application processing, license renewal form extraction, public record digitization, regulatory filing data extraction, compliance document verification

Why Teams Choose Infonza for Document Processing

Document-Type Expertise

We've built extraction pipelines for insurance claim forms, legal contracts, medical records, invoices, and tax documents. We understand the field layouts, terminology, and edge cases specific to each document type — not just generic OCR.

Accuracy-First Engineering

We don't ship extraction pipelines that don't meet accuracy benchmarks. Every pipeline is tested against a held-out validation set before go-live, with field-level accuracy metrics reported for each document type.

Confidence-Based Routing

Low-confidence extractions are automatically routed to human review queues — we don't pretend the AI gets everything right every time. The system is designed to handle uncertainty gracefully rather than silently produce errors.

End-to-End Integration

We build the full pipeline — document ingestion, extraction, validation, and downstream data push. Extracted data flows directly into your ERP, CRM, database, or operational systems without manual re-entry.

Compliance & Audit Trails

Every document processed generates a complete audit log — extraction timestamp, confidence scores, fields extracted, validation results, and any human review actions. Essential for regulated industries like insurance, healthcare, and finance.

How much time is your team spending on manual document processing?

Get a free document workflow audit. Send us 20-50 sample documents and we'll assess extraction feasibility, estimate accuracy, and scope the automation opportunity.

Schedule Free Document Audit

Frequently Asked Questions

Technical answers about AI document processing, accuracy, and integration.

Free Document Processing Consultation

Automate Your Document Workflows With AI

Schedule a 30-minute session with our document processing engineers. Share your document types, volume, and downstream systems — we'll assess feasibility, estimate accuracy, and scope the project.

30 min
Discovery call
Free
No commitment
24 hr
Response time
NDA signed before discussion
Senior engineers on every call
Honest assessment, not a sales pitch
Book Consultation