Capability
Document Intelligence
Arabic and English documents — forms, invoices, contracts, certificates and correspondence — turned into validated, structured data. Classification, extraction and checks run automatically, and people review only the cases that need them.
Document work is where many organisations in the region spend the most manual effort, often across two languages and a mix of scanned and digital files.
01Architecture
Reference architecture
A typical arrangement of the components. Every implementation is adapted to your systems, data-residency and security requirements.
Intake
- Scans and uploads
- Email attachments
Understanding
- OCR and layoutPyTorch · OpenCV
- Classification
- Field extraction
Validation
- Business rules and reference data
- Human review queueLabel Studio
Systems of record
- ERP and case systemsAPI
02Components
What this capability covers
01
Bilingual OCR and layout
Text and layout extraction from scanned and digital documents in Arabic and English, including tables and stamps.
02
Classification and routing
Documents recognised by type and routed to the right process automatically.
03
Field extraction and validation
Key fields extracted and checked against business rules and reference data.
04
Human review
A review interface for low-confidence cases, whose corrections improve the system over time.
03Implementation
How we implement it
We sample real documents early, including poor scans and handwritten annotations, because accuracy depends on the worst files rather than the best. Confidence thresholds decide what is processed automatically and what goes to review.
- Extraction quality is measured per field and per document type.
- Business-rule validation catches errors that OCR alone cannot.
- Reviewer corrections are captured as labelled data for retraining.
04Deliverables
What you receive
Document sample analysis
Extraction and validation pipeline
Review interface
Accuracy report per document type
Technology
Technologies we work with
- Python
- PyTorch
- OpenCV
- ONNX Runtime
- FastAPI
- Postgres
- Temporal
- Label Studio
Chosen per project and aligned with your existing standards. Listed as technologies we use, not as partnerships or endorsements.
05Use cases
Typical applications
Patterns this capability is designed for, not a list of delivered projects.
01
Invoice and purchase-order processing
Supplier invoices matched to orders and receipts before posting.
02
Application and permit files
Forms and supporting documents checked for completeness and consistency.
03
Contract review support
Key dates, parties and obligations extracted for legal and procurement review.
06Related
Where to go next
Industry contexts
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Next step
Scope Document Intelligence for your organisation
Share your process, data and constraints. We will propose an approach, the evidence to collect first and a realistic plan.