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    • Home
    • GP Record Summarisation
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    • Handwriting Recognition
    • Additional Services
    • About us
    • Contact
  • Home
  • GP Record Summarisation
  • OneIndex
  • Secondary Care
  • Legal Case Notes
  • Software Devleopment
  • Handwriting Recognition
  • Additional Services
  • About us
  • Contact

Handwriting Recognition Software: Transforming Handwritten Data

Transform handwritten documents into structured, searchable digital data.

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


We utilize advanced handwriting recognition (HWR) technologies, complemented by human validation when necessary, to perform data extraction from a diverse array 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 managing structured forms or freehand notes, our system intelligently identifies and extracts key data fields for further processing or integration.


Key Features


- High-Accuracy Recognition  

Our handwriting recognition technology is trained on various handwriting styles and formats, ensuring high recognition rates even in complex or low-quality documents.


- Multi-Language Capability  

Support for a broad range of European and global languages, including mixed-language documents.


- Structured Data Output  

Export in formats such as CSV, XML, JSON, or enable direct integration into case management, EMR, or ERP systems.


- Human-in-the-Loop Verification  

When accuracy is essential, optional manual validation guarantees that 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.


Common Use Cases


- Digitisation Projects  

Extracting data from handwritten archives or Lloyd George records during digitisation initiatives.


- Healthcare & Clinical Trials  

Translating 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  

Facilitating search and access to historical handwritten materials for audit or compliance purposes.


Benefits at a Glance


- 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

Handwriting recognition software

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