Typelens

Introduction to Typelens

Typelens is an AI-powered document automation platform designed to extract, interpret, and process structured and unstructured data from business documents including purchase orders, invoices, delivery notes (DDTs), and demand forecasts. It integrates directly with enterprise resource planning (ERP) and accounting systems to automate data entry and validation workflows. Typelens targets mid-sized manufacturing companies, distributors, and logistics providers seeking to reduce manual document handling while maintaining high accuracy and contextual understanding of their operational data.

Unlike traditional OCR-based tools, Typelens uses contextual AI models trained on domain-specific business language and processes. It does not require rigid templates or pre-defined layouts, enabling robust performance across diverse supplier formats, handwritten annotations, scanned PDFs, email bodies, and Excel files. The system operates on a human-in-the-loop model: AI handles routine extraction and matching tasks, while users review only exceptions—significantly reducing cognitive load and error rates.

Key Takeaways

• Processes invoices, purchase orders, delivery notes, and forecast documents without template configuration
• Achieves 95% AI extraction accuracy, improving continuously through user corrections
• Reduces data entry errors by up to 84% compared to manual input
• Integrates with major ERP systems including TeamSystem, Zucchetti, Odoo, and Microsoft Dynamics via API or file exchange
• Deploys in three weeks with guided onboarding, including process analysis, configuration, and team training
• Understands business context: recognizes proprietary product codes, synonyms, unit-of-measure variants, and custom business rules
• Supports GDPR-compliant processing with European cloud hosting and optional on-premise deployment
• Provides full audit logging, role-based access control, and validation dashboards for extracted data

How Typelens Works

Typelens ingests documents from multiple sources—including email attachments (PDF, images, Excel), PEC, and uploaded files—and applies multi-stage AI processing. First, it performs layout-aware text recognition and segmentation. Then, using fine-tuned natural language understanding models, it identifies semantic entities (e.g., vendor name, line items, quantities, dates, tax amounts) and resolves them against the customer’s internal catalog and business logic. Matching is performed contextually: for example, reconciling delivery notes with open purchase orders by cross-referencing item codes, variants, and partial shipment rules.

User interaction occurs exclusively through a validation dashboard where operators review ambiguous extractions, correct misclassifications, and approve submissions. Each correction is fed back into the model, enabling continuous adaptation to the organization’s specific terminology and document patterns. The validated data is then pushed automatically to the connected ERP or accounting system—requiring no manual re-entry. Integration is configurable per use case (e.g., order-to-cash, procure-to-pay) and supports both real-time and batch synchronization.

Core Benefits and Applications

Typelens delivers measurable operational improvements across key finance and supply chain functions:

Beyond these standardized scenarios, Typelens supports custom workflow configuration for unique document types or business rules—enabling organizations to extend automation beyond off-the-shelf use cases without requiring developer resources.