OCR and document AI development
Document AI That Converts Messy Files Into Validated Business Data.
We build intelligent document processing systems for invoices, forms, receipts, IDs, claims, contracts, and scanned records—from image cleanup and OCR to validation and human review.
ORIGINAL CORERIQO LABS DEMONSTRATIONThe operating problem
OCR is only the first step in a reliable document workflow.
Business documents vary in layout and quality. Scans can be rotated, blurred, incomplete, handwritten, or contain complex tables. Even a correctly recognized value can be invalid when it violates a business rule or conflicts with another field.
How CoreRiqo Labs engineers the solution
We classify each document, improve image quality, select the right OCR or multimodal extraction approach, normalize outputs into a schema, validate fields and totals, and route uncertain cases to a focused review interface.
Engineering scope
Capabilities built into the system.
Deskew, denoise, crop, and orientation correction
OCR and multimodal extraction
Tables, key-value pairs, and layout parsing
Schema and business-rule validation
Confidence-based human review
Reference architecture
Designed beyond the model layer.
A production AI system needs data, interfaces, controls, evaluation, deployment, and ownership—not only a model API.
- 01Email, upload, scanner, or API intake
- 02File safety checks and document classification
- 03Image preprocessing and page segmentation
- 04OCR, layout, table, or multimodal extraction
- 05Normalization and cross-field validation
- 06Review queue and system-of-record export
Where it creates value
Practical applications.
Invoice and receipt processing
Extract suppliers, dates, totals, taxes, line items, and purchase references with validation.
Forms and applications
Convert variable forms and supporting documents into structured, reviewable records.
Identity and compliance documents
Read approved fields and route exceptions while preserving a clear audit trail.
Contract intelligence
Classify agreements, extract clauses and dates, and support cited review workflows.
Typical technology stack
Python · OpenCV · PaddleOCR / Tesseract / TrOCR · multimodal LLMs · PyTorch · FastAPI · PostgreSQL · AWS
Service FAQ
Questions before a build begins.
Can the system handle different document layouts?
Yes. We combine classification, layout-aware extraction, configurable schemas, and validation instead of assuming one fixed template.
What happens when confidence is low?
The item is routed to a human review queue with the document region, proposed value, and validation context.
Can it integrate with our ERP or CRM?
Yes. Validated data can be delivered through APIs, databases, files, webhooks, or direct system integrations.
Start with the workflow
Bring us the business problem.
In a focused 30-minute consultation, we will discuss the users, workflow, data, integrations, risk, and the smallest useful next step.
Book your consultation