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.
Most insurance carriers and TPAs receive claims in dozens of formats. A first notice of loss from one policyholder arrives as a typed PDF. The next comes as a handwritten form photographed on a phone. Property damage estimates show up as multi-page reports with tables, line items, and adjuster notes scattered across different sections. Workers’ compensation filings follow state-specific layouts that change from jurisdiction to jurisdiction. The sheer variety makes template-based automation brittle—every new format requires a new configuration, and the configurations break when carriers update their forms.
AI-powered claims extraction solves the format problem by reading documents contextually. Instead of looking for a claim number at pixel coordinates (340, 120), the AI understands that the string next to “Claim #” is the claim number regardless of where it sits on the page. This approach handles carrier-to-carrier variation on first upload, with no setup, no training data, and no rule-building. For teams comparing their options, our roundup of the best insurance claims processing software covers 8 platforms side by side. Insurance OCR and underwriting automation use the same underlying intelligence to read insurance documents of all types.
Speed matters most during catastrophe events. After a hurricane or wildfire, carriers face thousands of property claims in a matter of days. Manual intake creates a bottleneck that delays adjusters, frustrates policyholders, and increases loss adjustment expenses. Batch processing through Lido handles the volume spikes that overwhelm manual teams—one 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 powers both sides of the policy lifecycle.
The business case for automated claims processing goes beyond speed. Accurate data entry at intake prevents downstream errors that compound through the claims lifecycle—wrong policy numbers trigger incorrect coverage lookups, miskeyed reserve amounts distort loss ratio reporting, and transposed dates create compliance issues in jurisdictions with strict filing deadlines. AI extraction with field-level confidence scoring catches these errors at the point of entry, before they propagate through the system. Carriers looking to connect claims extraction to 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