OCR for Insurance

OCR — Optical Character Recognition — is the technology that converts image-based content (scanned PDFs, photographs, handwritten or printed forms) into machine-readable text. In the insurance context, "OCR" is the engine that digitises a physical document and extracts its fields into structured, queryable data.

Insurance operations generate enormous volumes of documents: claim forms, police reports, medical certificates, ID cards, proof-of-address letters, vehicle registration papers and policy schedules from other carriers. Historically, these were processed by humans who re-keyed the data into the policy admin system — slow, error-prone and expensive.

Modern OCR in insurance serves three main functions:

• Claim digitisation — converting paper or photo claim submissions into structured claim records that route automatically to the right adjuster.
• Identity and document verification — extracting data from ID cards, passports and proof-of-address documents during onboarding or policy changes, feeding the eKYC validation layer.
• Photographic evidence processing — analysing damage photos (motor accidents, property claims) to pre-populate claim fields before human review.

The result: an insurance process that accepts documents the way customers naturally submit them — via WhatsApp, email or mobile upload — and converts them into clean data within seconds.

Claim intake

A policyholder files a claim by sending documents through WhatsApp. FCB.ai's OCR engine reads the submission in real time — extracting policy number, incident date, claim amount and claimant details — and routes the structured record directly to the right adjuster queue. No manual re-keying. No lost attachments.

Motor claim processing

After a road accident, the driver photographs the damaged vehicle, third-party plate and accident report. OCR plus computer vision extracts plate numbers, licence details and damage assessment fields from the images, creating a pre-populated claim draft that an adjuster can approve or escalate — often in under two minutes.

eKYC and onboarding

A new applicant uploads their ID card and proof of address via WhatsApp. OCR auto-fills the application form; the eKYC layer validates the extracted data against watchlists and liveness checks. The entire process typically completes in under two minutes, replacing a branch visit or email chain.

Policy management

An existing customer uploads a policy from a competitor. OCR extracts coverage limits, premium amounts, renewal dates and exclusions. FCB.ai structures the output so your quoting engine can generate a competitive switch offer in seconds — a use case that previously required a manual underwriter review.

Policyholders don't open a new app or navigate a web portal. They send a photo or PDF to a WhatsApp number they already have. The document enters the OCR pipeline immediately, with zero friction at the customer end.

FCB.ai's OCR layer handles English, French and Arabic documents out of the box — covering the francophone Africa and Maghreb markets where most competitors offer English-only processing.

Policy schedules, national ID cards and standardised claim forms are extracted reliably. Documents outside that envelope route to a secondary review step with full context preserved for the human reviewer.

Every extraction returns clean, structured JSON that plugs directly into your existing CRM, policy admin system or claims platform. No reformatting. No bespoke middleware required.

Data residency controls, end-to-end encryption, PII redaction on stored copies and a full audit log of every document processed — built for GDPR and local insurance regulation from day one.

Beyond typed forms, FCB.ai processes photographic evidence — vehicle damage, accident scenes, property damage — combining OCR text extraction with computer vision for motor and property claims.

Marsh uses FCB.ai's WhatsApp journey to collect and process claim documents from policyholders across multiple African markets. Claimants photograph forms and submit via WhatsApp; OCR structures the data into Marsh's claims platform, reducing the manual intake workload for claims handlers.

AGMA's insurance operation uses FCB.ai for document-driven onboarding and claim intake. The OCR layer handles Arabic-language documents alongside English, a requirement for the UAE and wider MENA market that most insurance tech vendors cannot fulfil.

Botswana Life deployed FCB.ai's WhatsApp journey for dormant contract remediation, where the OCR pipeline processes ID documents and beneficiary update forms submitted by policyholders — eliminating the need for a branch visit or a courier of signed paper forms.