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SLT OCR — Arabic-first Document Data Extraction
An Arabic-first computer-vision engine that turns invoices, purchase orders, receipts, ID cards and KYC packs into data you can trust — a verification model per field, human review when needed, processed in memory only.
- Client
- Smart Lead Tech (Product)
- Launched
- 29 August 2026
- Live
- Website
Product at a glance
SLT OCR is a Smart Lead Tech product for Arabic-first document process automation: invoices, purchase orders, receipts, passports, identity cards, KYC packs and mixed multi-page PDFs. Every field has its own verification model, and values that cannot be verified are routed to human review rather than delivered as fact.
Key features
- A dedicated model for every field: confidence and provenance per extracted value.
- Human review when needed: uncertain fields land on a review screen before approval.
- Processed in memory only: documents are never written to disk; sources live in a 15-minute window.
- Cloud or on-premises: a Docker container with no network access at runtime — models and lexicons are baked into the image.
- Straight to your systems: a Keys workbook (.xlsx) with stable columns, and one HTTP API for automation.
- Signed licensing: an issuer and customer register that share no database with the customer deployment.
Accuracy
On a production sample of 40 documents (343 pages): 99.42% page accuracy and 97.5% whole-document accuracy.
Website: slt-ocr.smartleadtech.com
Tech stack
What powers this product — the core frameworks and the full stack behind it.
Core stack
- Python
- Next.js
- Docker
Also in the stack
- FastAPI
- TypeScript
- PostgreSQL
Screens
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