Insurance

Extract insurance quotes to structured JSON

Insurance quotes outline coverage offered, at what price, and under what terms. Formats vary by carrier, line of business, and distribution channel. Sensible turns quote documents into structured JSON for comparative rating, quote-to-bind workflows, and proposal management.

quote-to-bind workflows | competitive analysis | submission triage

Validated JSON

Schema-enforced output; every field matches your contract

Source coordinates

Every value links back to page + bounding box for audit

Per-document pricing

Predictable cost. No token-volatility surprises

Trusted by teams turning documents into production data

What makes insurance quotes hard to extract

Quotes follow no standard format, mixing narrative with multi-line coverage tables. We read both, tell proposals from system output, and return coverage detail as one consistent schema.

01

Carrier Format Diversity

Every carrier and broker formats quotes their own way: table-heavy system outputs, narrative proposals, or PDF exports from rating engines. LLM parsing handles the variation; SenseML rules guarantee your output schema stays consistent.

02

Multi-Line Coverage Tables

Commercial package quotes list coverages across multiple lines, each with sub-limits, SIRs, deductibles, and endorsements. The extraction config captures the full hierarchical structure with line-level premiums.

03

Proposal vs. System Output

Broker proposals bury premium data in narrative paragraphs. Carrier system outputs present it in tables. Sensible processes both formats and normalizes them into the same JSON structure for downstream comparison.

Managed services

Don't want to build it? We'll write your configs from your samples.

Solutions engineers handle plan, build, deploy, and adjust on your behalf. You see clean JSON in your API response. Same engine as self-serve, just with the configuration work outsourced.

What's included

01Plan.Engineers review your samples and pick the right method

02Build.SenseML configs written from your samples

03Deploy.Same engine as self-serve, ready for production

04Adjust.We update configs when formats shift or new edge cases appear

05Integrate.Help with custom integration into your downstream systems

Fields we extract

We configure every insurance quote extraction to your exact schema, not a fixed field list. The fields below are the ones insurance teams pull most often — tell us what your comparative-rating system needs and we map the rest.

01

Quote summary

Named insured, effective/expiration dates, quoting carrier, producer, quote number, total premium, payment plan options

02

Coverage lines

Coverage type, limit, deductible, premium, included endorsements, optional coverages, exclusions

03

Conditions and terms

Binding requirements, subjectivities, loss control recommendations, minimum premium, cancellation provisions, audit provisions

config.json

SenseML

{ /* SenseML: insurance quote extraction */
"fields": [
{
"method": {
"id": "queryGroup",
"queries": [
{ "id": "carrier", "description": "carrier name, quoting carrier, insurance company" },
{ "id": "total_premium", "description": "total premium, quoted premium, annual premium" },
{ "id": "each_occurrence_limit", "description": "each occurrence limit, per occurrence, occurrence limit" },
{ "id": "effective_date", "description": "effective date, proposed effective date" }
// + more fields, mapped to your schema
]
}
}
]
}

Supported quote types

Pre-built configurations cover common quote formats. New carrier or broker layouts map to your schema quickly. SenseML extraction logic is explicit and version-controlled.

By line

Commercial package, general liability, workers compensation, commercial auto, cyber, professional liability, property, umbrella

By format

Carrier system output, broker proposals, indication letters, binder quotes, renewal quotes

Common Questions

Answers about quote format support and comparative rating integration.

What premium data does Sensible extract from quotes?

By default Sensible captures total premium, per-coverage premium, payment plans, installment amounts, taxes and fees, and any discounts or surcharges. Because the fields are set in configuration, you decide what to pull and how it's structured to match how your team prices or compares quotes.

Can I use Sensible to compare quotes across carriers?

Yes. Sensible outputs quotes in a consistent JSON schema regardless of carrier. You can programmatically compare coverages, limits, deductibles, and premiums across multiple quotes.

Can Sensible handle quotes from different carriers?

Yes. Quotes vary by carrier and line of business, and Sensible reads premium breakdowns, coverage terms, and conditions across those formats. A carrier or layout you haven't run before gets a config built to fit, so new sources don't mean a hard stop.

Do you support webhooks?

Yes. Sensible sends extraction results to your webhook endpoint when processing completes. You can also poll the API for status.

Does Sensible support human review?

Yes. Sensible flags extractions with low confidence for human review. You can configure review thresholds and workflows.

What security certifications does Sensible have?

Sensible is SOC 2 Type II certified and HIPAA compliant. Data is encrypted in transit and at rest.

How long is document data retained?

Document data is stored indefinitely by default. Custom retention policies are available and can be configured for same-day deletion if needed.

Is there a free trial?

Yes. Sensible offers a 14-day free trial on the Growth plan. No credit card required to start.

How is pricing structured?

Sensible uses per-document pricing for predictable costs. No token-based billing or usage surprises. Volume discounts are available for higher throughput.

How do I integrate with Sensible?

Sensible provides REST APIs and SDKs for Python and Node.js. Most integrations take a few hours. Webhooks, Zapier, and direct API calls are all supported.

What file formats does Sensible support?

Sensible processes PDFs (native or scanned), Microsoft Word (DOC, DOCX), spreadsheets (XLSX, XLS, CSV), single-page images (JPEG, PNG), multi-page images (TIFF), and email bodies with attachments.

How accurate is the extraction?

Accuracy depends on document quality and configuration. Most production deployments achieve 95%+ accuracy with proper validation rules and confidence signals.

How fast is document processing?

Processing speed depends on document size, page count, OCR requirements, and which extraction methods are used. Simple single-page documents process in seconds. Larger or more complex documents that use LLM-based extraction take longer.

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