Intelligent document processing for invoices, KYC and contracts
Turn PDFs, scans and photos into structured data your systems can use, with AI extraction, validation rules and a human review step for anything uncertain.
Our intelligent document processing platform reads invoices, receipts, purchase orders, bank statements, KYC documents, contracts and forms, and turns them into clean, validated data. As document automation software, it replaces manual data entry for finance, operations, lending, insurance and logistics teams that handle documents in volume.
The system pairs OCR data extraction with large language models, so it copes with varied layouts, scanned copies and phone photos rather than only fixed templates. Every extracted field carries a confidence score, business rules check the results, and anything uncertain goes to a person for a quick review before it reaches your ERP or core system.
Choose a managed AI document processing subscription, a one-time license to run it inside your own cloud, or a custom build for unusual documents and strict data residency needs. Your NDA is in place before the project starts, and the demo works with anonymized samples.
Everything you need to run it
Document intake
Documents arrive from email inboxes, uploads, scanners, a mobile capture app, shared folders or your own systems through an API, and are queued for processing automatically.
Review workbench
Reviewers see the document beside the extracted fields, with low-confidence values highlighted. They confirm or correct values in seconds, and each correction is stored to improve future accuracy.
Admin and rules console
Define document types, fields, validation rules, approval steps and export destinations, manage users and permissions, and track volumes, accuracy and processing times for each document type.
Features that do the heavy lifting
Automatic classification
The system identifies each document type, splits multi-document PDFs into separate files and routes each one to the correct extraction model and workflow.
Field and table extraction
Extract header fields, line items, totals, dates, IDs and tables from structured and semi-structured documents, including multi-page invoices and long statements.
Invoice data extraction
Capture supplier details, tax IDs, line items and totals, match them against purchase orders and goods receipts, and flag price or quantity mismatches before payment.
KYC document processing
Read identity cards, passports, utility bills and address proofs, check names and dates across documents, mask sensitive numbers, and pass results to your verification workflow.
Contract review AI
Pull out parties, dates, renewal terms, payment terms, liabilities and obligations from contracts, and highlight clauses that differ from your standard templates.
Validation rules
Check that totals add up, tax calculations are correct, mandatory fields are present and values match your master data, so errors are caught at entry rather than in month-end reconciliation.
Confidence scores and review queue
Fields below your confidence threshold go to a human reviewer, while high-confidence documents pass straight through, giving you control over the balance between speed and accuracy.
Integrations and export
Send structured data to your ERP, accounting software, CRM or lending system through APIs and webhooks, or export it as Excel, CSV or JSON on a schedule.
Multi-language documents
Process documents in English, Hindi, Arabic and other languages and scripts, including the mixed-language forms common in cross-border trade and banking.
Audit trail and retention
Every document, extraction, correction and approval is logged with user and time stamps, and retention rules archive or delete files on the schedule your policy sets.
Business benefits
Less manual data entry
Automated data entry removes repetitive typing, copying and checking from document-heavy processes, so skilled staff can spend their time on exceptions, approvals and decisions instead.
Fewer costly errors
Validation rules and confidence checks catch wrong totals, duplicate invoices and mismatched names early, before they ever reach your accounts, loan files or customer records.
Faster turnaround
Invoices, applications and claims move from inbox to system in minutes instead of waiting in a queue, which speeds up approvals, payments and customer onboarding.
Control over sensitive data
Private cloud deployment, data masking and role-based access protect financial and identity documents, and every action stays traceable when auditors or compliance teams ask questions.
Three ways to launch
From demo to launch
Built on a modern stack
Related solutions
Services that go with it
AI Document Processing: FAQ
How much does intelligent document processing cost?
A custom intelligent document processing solution typically costs $6,000 to $40,000 or more to build. Cost depends on the number of document types and layouts, accuracy targets, validation rules, integrations and whether you need private hosting. Running costs scale with page volume because OCR and AI models are billed per use, and a subscription to our managed platform lowers the upfront cost. Pricing is fixed in writing after a free consultation.
How accurate is AI document extraction?
Accuracy depends on scan quality, layout variety and the fields involved, so we measure it on your own documents during a pilot instead of quoting a generic figure. Clean digital PDFs usually extract very reliably, while poor scans and handwriting need more review. Confidence scores send uncertain fields to a person, so errors are caught before data reaches your systems.
Which documents can the system process?
Common types include invoices, receipts, purchase orders, delivery notes, bank statements, payslips, tax forms, identity documents, address proofs, insurance claims, shipping documents and contracts. If your document serves a recognizable purpose, even with varied layouts, the system can learn it. We confirm coverage with sample documents during the free demo.
Can it handle handwriting and poor-quality scans?
It can read printed text in low-quality scans and photos, and many kinds of neat handwriting, such as form entries. Accuracy drops with blurry images, heavy stamps or very messy handwriting, so those fields typically go to the review queue. Mobile capture with edge detection and quality checks helps users submit clearer images in the first place.
Where is our document data stored and processed?
You choose. We can deploy to your own cloud account on AWS, Azure or Google Cloud, in the region you need, or on-premises with open models such as Llama for full data isolation. When we use commercial model APIs, we select terms that exclude training on your data. Encryption, masking, access control and retention rules are built to support GDPR and similar privacy laws.
How long does implementation take?
A first workflow for one document type, such as supplier invoices, typically goes live in three to six weeks, including integration and a pilot. Each additional document type usually takes one to three weeks. Complex KYC, lending or contract workflows with multiple systems take longer, and the written proposal, sent within 48 hours of the consultation, lays out the schedule.
See it live.
Book a free demo.
We'll walk you through the platform with your own use case and show exactly how it would look with your brand.