Turn insurance documents into structured data.
DocLD helps carriers, MGAs, and insurtech teams process high-volume, multi-format documents where precision matters. Parse policies, claims, underwriting submissions, and loss documents with one API — layout-aware extraction, OCR for scans, and citation-ready chunks for RAG and compliance.
Policies and endorsements
Multi-page policies and endorsements in PDF and mixed formats.
Policy documents and endorsements combine dense text, schedules, and declarations where key terms and limits live. DocLD parses PDFs with layout-aware extraction so you get clean text and table structure for policy administration systems, rating engines, and downstream workflows.
Use the Extract API with schemas to pull policy numbers, effective dates, limits, and covered entities with citations back to the source pages.
Claims and loss documents
FNOL, loss runs, claim forms, and supporting documents.
First notice of loss, claim forms, loss runs, and supporting documents arrive as PDFs, scans, and spreadsheets. DocLD uses VLM-based OCR and table extraction so you can ingest mixed-format documents through one API and push structured data into triage, adjudication, and reserving tools.
Parse returns chunks with page and bounding-box context so your claims pipelines stay traceable and audit-ready.
Underwriting and submissions
Applications, submissions, and ACORD forms in mixed formats.
Underwriting submissions and ACORD applications come as PDFs, fillable forms, and spreadsheets with varying layouts. DocLD supports PDF, images, and Office documents with structured extraction so you get clean data for underwriting workstations and submission queues without format-specific integrations.
Use the same Parse API for applications, loss runs, and supplemental docs; switch formats without changing your pipeline.
Compliance and auditability
Regulatory and audit trails demand traceable outputs.
Insurance workflows require linking every decision and output back to its source for regulatory and audit review. DocLD Parse returns chunks with page ranges and optional bounding boxes; Extract can pull structured fields with citations. Build RAG and agent flows that show where each answer came from for exam-ready audit trails.
Run parsing and extraction via API in your own environment, with configurable presets and webhooks for batch jobs.
Scans and handwritten forms
Signed applications, proof of loss, and mixed handwriting.
Signed applications, proof of loss, and supplemental forms often arrive as scans or mix handwriting and print. DocLD uses VLM-based OCR with 50+ languages, auto-detection, and table extraction. Enable agentic mode for better accuracy on complex forms and handwritten fields.
Push parsed data into underwriting, claims, and policy admin systems via a single ingestion pipeline.
How teams use DocLD in insurance
| Use case | Description |
|---|---|
| Policy admin and endorsements | Parse policy documents and endorsements; extract terms, limits, and effective dates for policy admin and core systems. |
| Claims intake and FNOL | Ingest first notice of loss, claim forms, and supporting docs; push structured data into triage and adjudication. |
| Underwriting submissions and ACORD forms | Parse applications, submissions, and ACORD forms in mixed formats for underwriting workstations and submission queues. |
| Loss runs and exposure data | Extract loss history and exposure data from loss runs and supporting documents for underwriting and risk assessment. |
| Regulatory and compliance documentation | Structure regulatory filings and compliance docs with citation-ready output for audit and exam readiness. |
| Agent and MGA book-of-business | Parse submissions, policies, and account data to keep agent and MGA book-of-business systems up to date automatically. |
Insurance: Questions & Answers
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