Handwritten Form Data Extraction and Verification
Extract and validate handwritten form data, ensuring accuracy and compliance through AI-powered key-value matching and intelligent verification.
Details
What you get
Video
Description
The Handwritten Form Data Extraction and Verification solution simplifies data processing for insurers by accurately extracting handwritten content from submitted forms. Users upload the form image and its schema, enabling AI to match handwritten inputs to key-value pairs, validate rules such as checkboxes or date fields, and return structured JSON outputs. This reduces manual errors, improves processing speed, and ensures compliance for tasks like claims processing and customer onboarding.
Features
Error Flagging
Highlights discrepancies or missing fields for manual review when validation fails.
Handwriting Recognition
AI accurately extracts handwritten content from uploaded forms.
Schema-Based Matching
Matches extracted inputs to predefined key-value pairs using the provided form layout (schema).
Intelligent Validation
Ensures extracted data makes sense, such as verifying at least one checkbox is selected, validating date or number formats, and detecting inconsistencies.
Structured JSON Output
Returns clean, structured data in a JSON payload for easy downstream processing.
Product information
- Upload Form Structure: Users upload the empty form image along with its corresponding schema to define key-value pairs.
- Upload Handwritten Form: Users upload the scanned or photographed form filled with handwritten data.
- Handwriting Extraction: The tool uses AI-powered OCR to detect and extract handwritten text from the uploaded form.
- Schema Matching: Extracted data is matched to the predefined key-value pairs in the schema for accurate alignment.
- Intelligent Validation: The system checks for inconsistencies, such as verifying checkbox selections, validating date or number formats, and ensuring required fields are filled.
- JSON Output: A clean, structured JSON payload containing the verified data is generated, ready for seamless integration into downstream systems.
This solution is ideal for businesses looking to automate handwritten form processing, ensuring faster workflows, reduced errors, and improved data accuracy across industries.
Use Case 1: Claims Form Processing
Industry: Insurance
Description: Extract and validate handwritten data from claims forms, ensuring completeness and accuracy.
Benefits: Reduces processing time, minimizes manual errors, and accelerates claims approvals.
Use Case 2: Customer Onboarding Forms
Industry: Financial Services, Banking
Description: Automate the extraction of handwritten customer details from onboarding forms, such as personal information and account preferences.
Benefits: Improves data accuracy, speeds up onboarding, and reduces manual data entry workloads.
Use Case 3: Healthcare Patient Intake Forms
Industry: Healthcare
Description: Extract handwritten information from patient intake forms, such as medical history, contact details, and consent checkboxes, ensuring accurate record-keeping.
Benefits: Reduces administrative burden, minimizes manual errors, and improves operational efficiency for clinics and hospitals.
Yes, the tool supports multi-page forms as long as the corresponding schema is defined appropriately. This allows businesses to process lengthy, complex documents efficiently.
The tool supports scanned or photographed handwritten forms in image or PDF formats.
It accommodates both single-page and multi-page documents, provided the input schema is defined through the provided web application.
The solution is robust, supporting both digitally written and handwritten forms seamlessly in one workflow.
The system leverages advanced OCR and handwriting recognition models to deliver high accuracy. Performance depends on image quality, but based on testing with medical malpractice insurance renewal forms:
- 97% accuracy for digitally filled forms.
- 82% accuracy for handwritten forms.
- This aligns with human-level accuracy observed for this customer, ensuring the tool meets real-world expectations. Ambiguous or low-confidence data is flagged for manual review when necessary.
The system generates a clean, structured JSON payload containing the extracted and validated data. This format ensures easy integration into downstream systems, such as claims processing, onboarding workflows, or compliance systems.
Coming Soon
This feature will be available in early 2025.