Extract claim numbers, dates of loss, coverage details, adjuster information, and payment amounts from any claims form—any carrier, any line of business—without manual data entry.
Upload any document — PDF, scan, or photo — and get structured data back immediately. No setup, no templates, no waiting.
“Claims intake time dropped from 12 minutes to 40 seconds per file. Our adjusters spend their time investigating, not typing.”
“We process 2,000 first notice of loss forms per month without a dedicated data entry team. The AI reads every carrier format we throw at it.”
“Reduced claims adjuster backlog by 67% in the first quarter. During hurricane season we processed 8,400 property claims in nine days.”
Audited controls over a sustained period, not a point-in-time check.
Bank-grade encryption at rest and TLS 1.2+ in transit.
Documents deleted within 24 hours. No copies retained.
Drag and drop claim forms, connect a cloud folder, or set up email auto-forwarding from your claims inbox. PDF, JPEG, PNG, TIFF, and scanned documents all work.
The AI identifies claim numbers, claimant names, dates of loss, policy numbers, coverage types, reserve amounts, and adjuster details by context—not fixed coordinates.
Get structured output in Excel, Google Sheets, CSV, or JSON. Use the REST API to feed extracted data directly into Guidewire, Duck Creek, or your custom claims platform.
Last updated: June 2026
Insurance carriers and TPAs receive claims documentation in dozens of distinct formats. One policyholder submits a first notice of loss as a typed PDF, while the next sends a handwritten form captured with a smartphone camera. Property damage estimates arrive as multi-page reports containing tables, line items, and adjuster commentary distributed across varying sections. Workers’ compensation claims follow jurisdiction-specific layouts that differ from state to state. This degree of variation makes template-based automation fragile—each new format demands its own configuration, and those configurations become obsolete when carriers revise their forms.
AI-driven claims extraction addresses the format challenge by interpreting documents contextually. Rather than searching for a claim number at fixed pixel coordinates, the AI recognizes that the text adjacent to “Claim #” represents the claim number regardless of its location on the page. This method accommodates carrier-to-carrier differences from the first upload, requiring no setup, no training data, and no rule creation. For teams evaluating platforms, our roundup of the best insurance claims processing software compares 8 solutions side by side. Insurance OCR and underwriting automation leverage the same core intelligence to process insurance documents across all types.
Processing speed becomes critical during catastrophe events. Following a hurricane or wildfire, carriers face thousands of property claims within days. Manual intake creates a chokepoint that delays adjusters, erodes policyholder satisfaction, and inflates loss adjustment expenses. Batch processing through Lido absorbs the volume spikes that overwhelm manual teams—a regional carrier processed 8,400 property claims in nine days during the 2025 hurricane season using automated extraction. For carriers evaluating underwriting OCR and underwriting software alongside claims tools, the same AI engine supports both sides of the policy lifecycle.
The value of automated claims processing extends well beyond speed. Precise data entry at intake prevents downstream errors that cascade through the claims lifecycle—incorrect policy numbers trigger wrong coverage lookups, miskeyed reserve amounts skew loss ratio reporting, and transposed dates generate compliance violations in jurisdictions with strict filing windows. AI extraction with field-level confidence scoring identifies these errors at the point of entry, before they ripple through the system. Carriers seeking to integrate claims extraction into broader operational workflows can explore document automation for insurance.
Insurance Claims OCR processes first notice of loss (FNOL) forms, claim adjustment reports, medical claims (CMS-1500, UB-04), property damage estimates, auto insurance claims, workers’ compensation filings, and explanation of benefits documents. The AI identifies each claim type automatically and extracts the relevant fields regardless of carrier or format.
AI-powered extraction reads each claim form contextually, identifying fields by their meaning rather than their position on the page. A property claim from State Farm and a liability claim from Allstate are both processed correctly without carrier-specific templates. The system adapts to new formats on first upload.
Yes. Extracted claims data exports to Excel, Google Sheets, CSV, or JSON. The REST API enables direct integration with claims management platforms like Guidewire ClaimCenter, Duck Creek, and custom TPA systems. Webhook notifications can trigger downstream workflows when new claims are processed.
AI claims extraction achieves 95 to 99 percent accuracy on typed claims forms and 91 to 96 percent on handwritten fields. Every extracted value includes a confidence score, and fields below the configurable threshold are flagged for human review rather than passed through silently.
Yes. The platform is SOC 2 Type 2 certified with AES-256 encryption at rest and TLS 1.2+ in transit. Documents are deleted within 24 hours of processing. A Business Associate Agreement (BAA) is available for organizations handling protected health information in medical claims.
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Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine