Intelligent OCR
Goes beyond standard OCR — understands document layout, tables, handwriting and multi-page structures to extract data accurately.
Services
AI Document Processing
Documents processed in seconds, not hours
AI that reads invoices, contracts, forms and reports — extracting the data you need, validating it and pushing it into your systems without manual entry.
- Reads PDFs, scans, images and handwriting
- Structured data extraction with validation
- Automatic document classification
- Integrates with your existing file storage
- Audit trail for compliance
What this engagement covers
Scoped to your situation — we start with what you already have rather than a fixed package.
Data extraction
Pulls specific fields from invoices, receipts, contracts and forms into structured JSON ready for your database or ERP.
Document classification
Automatically sorts incoming documents by type — invoice, purchase order, contract, ID document — and routes them to the right workflow.
Validation rules
Cross-references extracted data against your business rules, flags discrepancies and routes exceptions to a human reviewer.
Batch processing
Process thousands of documents in parallel with progress tracking, error handling and retry logic built in.
Storage integration
Connects to S3, Google Drive, SharePoint and email inboxes to pick up documents automatically and archive processed ones.
Small first, then scale what works
Six stages, with a decision point after the pilot. Nothing grows until it has shown value.
01
Workflow Audit
Understand the current manual process, systems, users, inputs and outputs.
02
Architecture
Choose the smallest practical automation architecture.
03
Pilot
Build one usable workflow.
04
Integration
Connect APIs, browser workflows, internal tools, databases, AI models or third-party systems.
05
Validation
Test reliability, edge cases, user approval and expected output.
06
Scale
Expand only after the pilot demonstrates value.
What you get
- Document processing pipeline for your specific document types
- Extraction templates with validation rules
- Integration with your storage and downstream systems
- Accuracy report with confidence scores per field
Tools we reach for
Chosen per project, not per habit. If your team already runs something that works, we build on it.
- Claude
- Textract
- Tesseract
- Python
- PostgreSQL
- AWS Lambda
- S3
- Node.js
FAQ
AI Document Processing — common questions
It depends on document quality: clean digital PDFs extract far more reliably than poor scans or handwriting. We measure field-level accuracy on a sample of your own documents during the pilot and route low-confidence fields to a person.
Other things we build
Have a workflow in mind?
Tell us about the process. We'll review it and suggest the most practical next step.