Team spending hours manually entering data from invoices, forms, or applications?
Document errors causing downstream problems in your ERP, CRM, or compliance system?
Intelligent Document Processing (IDP)
Every business runs on documents. Invoices, contracts, applications, reports, forms, claims. Most of these are still processed manually -- someone reads the document, enters the data, routes it for approval.
We build intelligent document processing systems that extract, classify, validate, and route document data automatically. Not just OCR that reads text. Systems that understand what the document means and what needs to happen next.
Extraction from PDFs, scanned documents, images, and mixed formats
Classification, validation, and workflow routing built in
95%+ accuracy on structured document types with exception handling for the rest
Proven: gas station OCR system processing 10,000+ receipts monthly
Intelligent document processing (IDP) combines OCR, natural language processing, and machine learning to extract structured data from unstructured documents -- invoices, contracts, forms, claims, and applications -- and route it into downstream systems without manual entry. RaftLabs builds IDP systems that classify incoming documents, extract key fields with confidence scoring, validate extracted data against business rules, and trigger workflow actions or flag exceptions for human review. Our gas station OCR system processes 10,000+ receipts monthly as a proven reference.
Manual document entry is a scaling problem
Hiring more people to process more documents is not a growth strategy. It is a cost that compounds with every new vendor, every new form type, every new market.
Intelligent document processing replaces the data entry work -- and the errors that come with it. The human role shifts from entering data to reviewing exceptions: the edge cases the system flags because it is not confident. That is a ratio that improves over time as the system sees more documents.
What we build
Invoice and AP automation
Automated extraction of vendor name, invoice number, line items, amounts, tax, and payment terms from supplier invoices in any format. Validation against PO data or vendor master records. Routing to approval workflows based on amount thresholds and department rules. Integration with your AP system or ERP for automatic posting. The most common IDP use case and the one with the clearest, fastest ROI.
Contract data extraction
Extraction of key contract terms -- parties, effective dates, renewal clauses, payment terms, SLAs, and obligations -- from agreements in PDF or Word format. Structured contract data delivered to your CRM, contract lifecycle management system, or legal database. Expiry date and renewal clause monitoring with automated alerts. Reduces contract review time and surfaces risk terms that manual review misses at volume.
Claims and application processing
Document classification and data extraction for insurance claims, loan applications, grant applications, and government forms. Multi-document intake (a single claim may include a claim form, supporting documents, and medical records). Validation against eligibility rules and required field completeness. Exception routing for incomplete or inconsistent submissions before they enter the review queue.
Receipt and expense capture
OCR extraction from retail receipts, fuel receipts, and expense documents in any format -- printed, photographed, or scanned. Merchant name, date, amount, and line item extraction. Categorisation against expense policy rules. Integration with expense management platforms or finance systems. Our gas station OCR system processes 10,000+ receipts monthly -- a proven reference for high-volume receipt processing.
Medical and clinical document processing
Structured data extraction from medical records, lab reports, referral letters, and clinical forms. HIPAA-compliant processing with audit logging and access controls. Integration with EHR systems and patient management platforms. Reduces manual data entry in clinical workflows and supports faster prior authorisation, claims submission, and population health reporting.
Customs and logistics documents
Automated processing of bills of lading, commercial invoices, packing lists, and customs declarations. HS code validation and required field completeness checks before submission. Integration with TMS and customs filing platforms. Reduces documentation errors that cause border delays and compliance exposure. See our logistics software page for the full logistics context.
Show us your document problem.
Send us a sample of the document type, the data you need extracted, and where it needs to go. We'll give you an accuracy estimate and a fixed-cost proposal.
How IDP projects run
Related services
AI Document Intelligence -- AI-native document workflows beyond data extraction
OCR Development -- optical character recognition for specific document capture use cases
Invoice Processing Automation -- AP automation and invoice workflow
Business Process Automation -- end-to-end workflow automation beyond documents
Document Automation -- automated document generation and assembly
Frequently asked questions
Intelligent document processing (IDP) is the automated extraction, classification, and routing of data from business documents. It goes beyond basic OCR (which converts images to text) by understanding document structure, extracting specific fields (invoice number, vendor name, amount, date), validating extracted data against business rules, and routing the output to downstream systems. A complete IDP system handles the full document lifecycle -- intake, classification, extraction, validation, exception handling, and delivery to ERP, CRM, or workflow systems.
Structured documents (fixed-position fields): invoices, receipts, purchase orders, application forms, tax documents. Semi-structured documents (variable layout, consistent fields): contracts, lease agreements, insurance claims, medical records, bank statements. Unstructured documents: free-form correspondence, email bodies, handwritten notes (lower accuracy, higher manual review rate). Accuracy is highest on structured and semi-structured documents from a consistent set of vendors or form types. We assess document type distribution and accuracy expectations during scoping.
Extraction accuracy depends on document quality and structure. Typed, well-formatted PDFs from a known set of vendors typically achieve 95--99% field extraction accuracy. Scanned documents with variable quality achieve 85--95%. Mixed handwritten content achieves 70--85%, with higher exception rates routed for human review. We provide accuracy benchmarks on a sample of your actual documents before committing to a production build -- not industry averages that may not apply to your document set.
Every extraction carries a confidence score. Fields below a defined threshold are flagged for human review rather than passed to downstream systems. The exception queue shows the document, the extracted value, and the confidence level -- a reviewer confirms or corrects in seconds rather than processing from scratch. Most mature IDP systems achieve 85--95% straight-through processing; the remaining 5--15% get human review. This is configurable -- you set the confidence threshold based on error tolerance and review capacity.
Document output integrates via REST API, direct database write, or file-based export depending on your existing system's capabilities. We integrate with ERPs (SAP, Oracle, NetSuite), accounting platforms (QuickBooks, Xero), contract management systems, claims platforms, and custom databases. For systems without API access, file-based export (structured CSV, JSON, or XML) writes to a shared location your system polls. Integration architecture is scoped before build.
A focused IDP system for a single document type (invoices, for example) with extraction, validation, exception queue, and ERP integration typically runs $30,000--$70,000. Multi-document-type platforms with classification, multiple extraction models, workflow routing, and multiple system integrations run $70,000--$180,000. Monthly operating costs after launch are low -- the main ongoing cost is cloud OCR/AI API calls, which scale with document volume.