Digitising Legacy Documents and Capturing Signatures with AI OCR

Legacy archives often contain scanned forms, handwritten marks and signatures that cannot be searched or linked reliably to business data. Digitising the image alone does not make the information operational.

The Challenge: Scanned Records Remain Opaque

Staff must read each document manually to identify names, references, document types and signatures. At scale, that leaves historic content disconnected from modern search, workflows and customer records.

The Lasernet Approach: Enabling AI OCR in the Input Workflow

Lasernet can integrate a selected AI OCR service, such as Azure AI OCR, into its input management process. The connected AI tool reads the scanned content and identifies relevant text or signatures; Lasernet then uses the returned data to classify the document, create metadata and route the original file into Lasernet Keep or another controlled downstream process.

Why It Matters

The benefits are clear:

• Searchability: image-only records can be indexed with useful business metadata
• Migration: legacy documents can enter Lasernet Keep with more context than a file name alone
• Efficiency: AI-assisted extraction reduces document-by-document manual reading
  
  

Turn Scans into Searchable, Connected Records

Lasernet enables the AI OCR integration and controls what happens next, while the connected AI service performs the recognition and extraction work.

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