Accident Report Extraction

Accident report extraction is the automated reading of accident and incident documentation — police reports, motor accident report forms, workplace incident logs, first-party statements — to pull out the structured facts a claim needs: parties and their roles, vehicle and license details, date, time and location, injury indicators, damage descriptions, citations issued, and the narrative account of what happened. These documents anchor liability decisions in motor and casualty insurance, and someone has to read every one.

They are also among the hardest documents in the industry. Formats vary by jurisdiction and agency; forms mix printed labels, handwritten entries, checkboxes, and diagrams; scans arrive as faxes or phone photos taken at the roadside; and the most valuable content — the officer's narrative — is free text that requires actual language understanding, not just field extraction. Modern pipelines combine handwriting-capable OCR, form and checkbox recognition, and language models that summarize narratives and map them onto claim attributes such as fault indicators or contributing factors.

The payoff is cycle time and consistency in claims handling. Extracted facts pre-populate the claim file within minutes of the report arriving, route the claim by severity and complexity, and surface discrepancies — a police narrative that contradicts the claimant's statement, a date that doesn't match the FNOL — for an adjuster's attention. Because these judgments carry financial and legal weight, production systems keep humans in the loop on low-confidence fields and log the provenance of every extracted value back to its location in the source report.