AI Data Extraction for Insurance Brokers
Extract data from policies, claims, and client ID docs automatically.
A claim arrives with photos, an ID document and sometimes a police report โ almost always by WhatsApp and almost never complete. WhappScan extracts the data from each document so the file opens with structured information from the first minute.
Try it with a document from your industry
No account, no card. Up to 3 documents a day.
Drag your document or click to upload
PDF or image ยท max 2 pages
Free trial of up to 2 pages per document.
Documents it handles
Claim report
Fields extracted
Policy number, date and time, location, people involved and description of the damage
Policy and particular conditions
Fields extracted
Policyholder, insured, policy number, cover, excess and period
ID and driving licence
Fields extracted
Full name, document number, date of birth and expiry date
Vehicle registration document
Fields extracted
Plate, VIN, make, model and registered keeper
Repair invoice
Fields extracted
Garage, tax ID, plate, line items, base, VAT and total
Why it gets stuck today
- The file opens with whatever the client sends on WhatsApp, not with what the system expects to receive.
- Every insurer and every garage uses its own invoice layout, so fixed templates do not last.
- The gap between the claim arriving and someone typing it is time the client spends without an answer.
Frequent questions
Can it read a handwritten accident statement?
It extracts printed fields and legible handwriting. On a handwritten form, review before relying on the data.
What about damage photos?
They stay attached to the record, but assessing the damage is not something extraction resolves โ that is the loss adjuster's judgement.
Can I have one template per claim type?
Yes. You can define as many templates as you need, each with its own fields.
Guides for your industry
Scan a DNI, ID Card or Passport Online for Free (No Signup)
How to Store Client ID Copies Without Breaking GDPR
Human Validation vs AI in Data Extraction: How Much Accuracy Do You Actually Need?
Extracting Data From a Bad Scanned PDF: Where OCR Hits Its Limits
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