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CyberTech

Automating document processing and data extraction

Document AI

Reads and extracts data from paper or scanned documents with high-accuracy Vietnamese OCR, cutting file-processing time from hours to seconds.

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Document AI

Overview

Document AI helps businesses and organizations automatically recognize, extract, classify and process data from documents and records such as invoices, contracts, forms, administrative files, financial documents and customer files, integrating with ERP, CRM, DMS and existing business processes.

Key features

  • High-accuracy Vietnamese OCR

    Recognizes Vietnamese text from scans, photos or PDFs, including documents of uneven quality.

  • Smart data extraction

    Extracts customer names, contract numbers, tax codes, dates, amounts, addresses and other business data.

  • Classification and digitization

    Automatically classifies by record type, department or process; centralized storage.

  • Automatic cross-checking

    Compares data across invoices, contracts, delivery notes and accounting documents to find discrepancies.

  • Approval workflow integration

    Connects to DMS, ERP, BPM or business software to automate intake, checking, approval and storage.

Benefits

  • Cuts file-processing time from hours to seconds
  • Reduces data-entry and manual-processing cost
  • Limits human error
  • Standardizes data across the enterprise
  • Speeds up approval and document processing
  • Easier document search, lookup and management
Document AI
Document AI

Key technologies

  • Next-generation OCR for Vietnamese and multiple languages
  • AI Vision recognizing document and form structure
  • Intelligent Document Processing (IDP)
  • Large Language Models (LLMs) to understand and analyze content
  • Machine learning for automatic document classification
  • Open APIs integrating ERP, CRM, DMS, BPM and workflow
  • Cloud or on-premise deployment

Suitable for

  • Banks and financial institutions
  • Accounting and auditing firms
  • Insurance companies
  • Logistics and supply chain
  • Healthcare and hospitals
  • Government agencies and administrative units
  • Manufacturing and trading businesses
  • Organizations with large volumes of documents to digitize

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