Document AI Services
Document AI automatically reads unstructured documents — invoices, contracts, claims forms, ID proofs — and extracts the specific fields you need into structured data, combining OCR with LLM-based understanding so it handles layout variation that breaks traditional template-based extraction.
Documents don't come in one format
Traditional OCR templates break the moment a vendor changes their invoice layout. Manual data entry is accurate but doesn't scale and is expensive at volume. Modern document AI combines OCR (to read the text and layout) with an LLM (to understand context and extract the right fields regardless of exact format), so it handles the variation that breaks rule-based systems.
Invoices & receipts
Extract vendor, line items, amounts, and tax details regardless of the invoice's layout or format.
Contracts & agreements
Pull key clauses, dates, parties and obligations for review or downstream processing.
Forms & ID documents
Extract structured fields from KYC documents, claims forms and applications for automated processing.
How we build a document AI pipeline
Sample document review
Review a real sample set of your documents to understand format variation and the exact fields you need extracted.
Extraction pipeline build
Combine OCR with LLM-based extraction against your defined schema, with confidence scoring per field.
Validation rules
Add business-logic checks (totals matching line items, date ranges, required fields) to catch extraction errors automatically.
Human-in-the-loop review
Route low-confidence extractions to a review queue instead of silently accepting uncertain data.
Where document AI is used
Accounts payable automation
Auto-extract and validate invoice data before it hits your accounting system, cutting manual entry to near zero.
EnterpriseManufacturingContract analysis
Extract key terms and obligations across a large contract portfolio for review or compliance tracking.
LegalBFSIKYC & claims processing
Extract and validate data from ID documents and claims forms to speed up onboarding and claims turnaround.
NBFCInsuranceTools we build document AI with
Why teams automate document processing
Handles format variation that breaks template-based OCR, without a rule update every time a vendor changes layout.
Confidence scoring means uncertain extractions get reviewed, not silently accepted as fact.
Cuts manual data-entry hours dramatically at high document volumes.
Structured output plugs directly into your existing accounting, CRM or claims system.
Document AI we've shipped
Frequently asked questions
What is document AI?
How is this different from regular OCR?
How accurate is the extraction?
Can it handle handwritten documents?
What document formats can it process?
How long does document AI take to set up?
Explore related AI & Automation services
Still keying in data from PDFs by hand?
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