Automated Document AI & Invoice Extraction in Lebanon
Eliminate hundreds of monthly administrative hours spent manually typing numbers from invoices, shipping manifests, receipts, and bank statements into your accounting software.
How Document AI Replaces Manual Data Entry
Whether documents arrive via PDF, scanned physical pages, email attachments, or WhatsApp photos, our neural vision pipelines normalize layouts, parse complex tables, and sync clean structured JSON into your ERP.
Key IDP Features:
- Multi-Table Reconstruction: Extracts complex multi-line purchase orders and tariff tables without column misalignment.
- Bilingual Arabic & Latin Parsing: Accurately parses legal company names, currency denominations (USD, LBP, AED, EUR), and addresses.
- Automated Reconciliation: Validates extracted totals against line item sums and tax formulas before committing data to accounting ledgers.
- Instant Human Review Screen: Web dashboard highlighting extracted numbers directly on the document image for instantaneous manual validation.
High-Volume Document Types
Customs & Freight Manifests: Bills of lading, packing lists, and certificate of origin documents extracted in seconds.
Supplier Invoices & Bills: Automatic PO number matching, supplier verification, and AP ledger entry creation.
Bank Statements & Wire Slips: Fast extraction of transaction rows, account numbers, and reconciliation against internal books.
Medical Claims & Prescriptions: Automated patient billing data extraction for insurance settlement approvals.
Real-World IDP Deployment: Logistics Operator
A regional freight forwarder operating between Beirut, Dubai, and Limassol had four administrative clerks manually entering multi-page manifests daily. Quantology Tech engineered an IDP pipeline that cut shipment backlog from 36 hours down to same-day delivery.
Common Questions About Document AI
Practical details on accuracy, integration, and security in Lebanon.
Traditional OCR merely converts pixel images into raw unstructured text strings, losing table alignments and context. Document AI combines deep learning computer vision layout analysis with large language models to understand the structural context of the document. It accurately identifies table line items, invoice numbers, tax rates, HS customs codes, and currencies even across distorted scans, photos, and WhatsApp attachments.
