Handwriting Recognition & Data Extraction

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Manual transcription of handwritten records is time-consuming, inconsistent, and costly. Our intelligent handwriting recognition and extraction service offers a reliable, scalable solution that turns handwritten forms, notes, and records into usable digital content—quickly and accurately.

We use advanced handwriting recognition (HWR) technologies, supported by human validation where required, to extract data from a wide range of document types:

• Clinical notes and medical records
   
• Historical case files
   
• Insurance claims and forms
   
• Legal documentation
   
• Survey forms and questionnaires
   
• Archival and legacy paper files
   

Whether dealing with structured forms or freehand notes, our system intelligently identifies and extracts key data fields for further processing or integration.

• High-Accuracy Recognition
  Our technology is trained on diverse handwriting styles and formats, allowing for high recognition rates even in complex or low-quality documents.
   
• Multi-Language Capability
  Support for a wide range of European and global languages, including mixed-language documents.
   
• Structured Data Output
  Export in formats such as CSV, XML, JSON, or direct integration into case management, EMR, or ERP systems.
   
• Human-in-the-Loop Verification
  When accuracy is paramount, optional manual validation ensures extracted data is complete and correct.
   
• Secure Handling & Compliance
  All data is processed under GDPR-compliant protocols with secure, encrypted handling from ingestion to delivery.
   

• Digitisation Projects
  Extracting data from handwritten archives or Lloyd George records during digitisation initiatives.
   
• Healthcare & Clinical Trials
  Converting handwritten notes and forms into coded, structured data for research or patient record systems.
   
• Legal & Insurance
  Extracting relevant information from case notes, affidavits, and claims documentation.
   
• Public Sector & Archives
  Enabling search and access to historical handwritten materials for audit or compliance purposes.
   

• Save hours of manual entry and review
   
• Improve accuracy and reduce transcription errors
   
• Secure, compliant processing environment
   
• Supports AI-driven insights with structured outputs
   
• Scales from single files to national archive projects