AMODIT AI OCR Powered by Azure AI

One OCR process built on Azure AI

AMODIT AI OCR responds to the limitations and inconsistent output of separate OCR tools. The solution is fully integrated with the AMODIT platform and built on Azure AI. It replaces earlier integrations and reduces the need for point fixes connecting multiple systems.

• Accuracy and speed: document-specific models and established large language models improve extraction accuracy and shorten processing time.
• Process reliability: OCR and validation run in one controlled AMODIT and Azure environment.
• Security and consistency: the Microsoft Azure ecosystem supports security and compliance requirements.
• Workflow integration: extracted and validated data moves directly into an AMODIT process without a separate handoff between OCR, validation and workflow logic.

How AMODIT AI OCR works

AMODIT AI OCR combines optical character recognition with AI and validation logic. The platform does more than convert an image into text. Its extraction process:

• recognizes document structure,
• identifies header fields such as Polish tax identification numbers (NIP), dates and amounts,
• extracts line items from invoices and bills,
• checks and supplements data using sources such as GUS and VIES,
• uses a language model to extract nonstandard information such as clauses, vehicle identification numbers (VINs) and terms.

The result feeds document-processing workflows across multiple business functions. AI extracts and recommends; users review exceptions and approve process outcomes.

Business benefits of AI OCR

• Less manual work and shorter document turnaround time.
  Automated extraction and validation replace retyping and repetitive field checks. Teams can move documents, including invoices, into the workflow in minutes rather than hours.
• Fewer errors through multi-stage validation and automated controls.
  Consistency rules, checksums and GUS or VIES supplier verification identify discrepancies before data reaches ERP or accounting systems, reducing corrections and returns.
• More consistent and complete data.
  The process structures, standardizes and supplements records. Better input supports more reliable reporting and decisions.
• End-to-end automation from scan to AMODIT workflow.
  OCR, extraction, validation and workflow initiation run in one environment with fewer fixed integrations and no manual transfer between tools.
• Scalability for large document volumes.
  The Azure AI architecture and AMODIT integration support growing document volumes without requiring resources to increase at the same rate. Teams add processes instead of matching every volume increase with additional headcount.

A controlled extraction workflow

AMODIT AI OCR combines accuracy, speed and reliability in one environment built on Azure AI. Intelligent extraction becomes a repeatable part of the process instead of a separate integration that requires ongoing maintenance.

A product demonstration shows how documents move from recognition through validation to an AMODIT workflow.