Take a live AI-guided product tour with Lando.Launch AI demo
Document type

Extracting data from certificates of insurance

An insurance broker issues a certificate of insurance on request, most often on the ACORD 25 form, filled in by the broker's agency system. General contractors and property managers collect one from every vendor and subcontractor, often hundreds, each renewed yearly. They arrive as emailed PDFs, portal uploads and the occasional fax.

Compliance needs the insured, each insurer, the policy numbers, the effective and expiration dates, and the limits. A COI tracking system compares those limits with the contract's insurance requirements and requests a new certificate before a policy expires.

Page 1 of a sample Certificate of Insurance, with extracted values outlined
6,713Markdown characters
126parse blocks
44fields extracted
The problem

What makes certificates of insurance hard

A ruled grid of merged cells

Each coverage row spans several lines, with the policy number and dates in tall merged cells beside a ladder of limit labels and amounts.

Checkboxes carry the terms

Checked boxes show whether general liability is written on an occurrence or claims-made basis, and whether its aggregate applies per policy, project or location.

Key terms in free text

Additional insured status and waivers of subrogation are often written into the description box, which can continue onto an attached ACORD 101 schedule.

How it works

Parse, extract, verify

1

Parse

Parse turns the document into reading-order Markdown and a hierarchy of blocks (text, tables, figures), and grounds each block to its exact location on the page.

2

Extract

You define the fields in a JSON schema, and Extract returns their values in a consistent, structured format, each linked back to where it appears in the Markdown.

3

Verify

Each value links back to where it appears, down to the character range in the Markdown, and the page and bounding box in the source document, so every result can be verified.

Worked example

One certificate of insurance, end to end

About this document: An ACORD 25 certificate of liability insurance that the American Baseball Coaches Association publishes as a sample of the proof of coverage its members can request. Its broker issued it, naming the association as the insured. The single page fills two coverage rows, general liability and professional liability, and a full description of operations. The certificate holder box is blank, and a SAMPLE watermark crosses the grid.

Processing objective: The objective is to answer a certificate holder's question: who covers the insured, under which policy, for what period and up to what amount. Every value comes from the general liability row. Its policy number and dates sit in tall merged cells spanning the row.

Demonstration fields: Insurer A, General liability policy number, Policy effective date, Policy expiration date, Each occurrence limit

The document

1 page
  • Page 1 of the sample Certificate of InsurancePage 1shown below

Where each value came from

Page 1 of the sample Certificate of Insurance, with every featured field outlined
Insurer Ainsurers[0].name
Sirius American Insurance Company
The region of the sample Certificate of Insurance containing Insurer A, with the extracted value outlined
extraction_metadata["insurers[0].name"]
{
  "value": "Sirius American Insurance Company",
  "page": 1,
  "range": {
    "end": 1426,
    "start": 1381
  },
  "box": {
    "xmin": 0.50152,
    "ymin": 0.21227,
    "xmax": 0.88297,
    "ymax": 0.22755
  }
}
General liability policy numbercoverages[0].policy_number
PLH03GL00001432
The region of the sample Certificate of Insurance containing General liability policy number, with the extracted value outlined
extraction_metadata["coverages[0].policy_number"]
{
  "value": "PLH03GL00001432",
  "page": 1,
  "range": {
    "end": 2866,
    "start": 2851
  },
  "box": {
    "xmin": 0.34759,
    "ymin": 0.39438,
    "xmax": 0.54166,
    "ymax": 0.50048
  }
}
Policy effective datecoverages[0].effective_date
09/01/2026
The region of the sample Certificate of Insurance containing Policy effective date, with the extracted value outlined
extraction_metadata["coverages[0].effective_date"]
{
  "value": "09/01/2026",
  "page": 1,
  "range": {
    "end": 2897,
    "start": 2887
  },
  "box": {
    "xmin": 0.5416,
    "ymin": 0.39438,
    "xmax": 0.61829,
    "ymax": 0.50049
  }
}
Policy expiration datecoverages[0].expiration_date
09/01/2027
The region of the sample Certificate of Insurance containing Policy expiration date, with the extracted value outlined
extraction_metadata["coverages[0].expiration_date"]
{
  "value": "09/01/2027",
  "page": 1,
  "range": {
    "end": 2928,
    "start": 2918
  },
  "box": {
    "xmin": 0.61829,
    "ymin": 0.39437,
    "xmax": 0.69444,
    "ymax": 0.5005
  }
}
Each occurrence limitcoverages[0].limits[0].amount
$ 1,000,000
The region of the sample Certificate of Insurance containing Each occurrence limit, with the extracted value outlined
extraction_metadata["coverages[0].limits[0].amount"]
{
  "value": "$ 1,000,000",
  "page": 1,
  "range": {
    "end": 2972,
    "start": 2961
  },
  "box": {
    "xmin": 0.84162,
    "ymin": 0.39435,
    "xmax": 0.97094,
    "ymax": 0.40954
  }
}

How to try it yourself

Everything on this page is reproducible. The sample, its schema, and the Parse and Extract API outputs are published. You can repeat the same two calls from whichever surface you already build on.

  • Claude Skilldescribe the job; the agent writes it
  • CLIno code at all
  • MCPexpose ADE docs as an agent tool
  • REST APIany language
  • Pythonlandingai-ade
  • TypeScriptlandingai-ade
Why LandingAI?

Documents into data

Accurate

The best accuracy on the difficult documents other tools get wrong, such as messy scans, complicated tables, checkboxes and handwriting.

Auditable

Every answer cites its sources. Values come back with an audit trail (page, bounding box, character range) so a human can review them.

Agentic

Applies multi-step reasoning, and plans before it acts. Handles documents it has never seen before and adapts to variations.

API-first

Composable APIs that drop into any tech stack and can be called from anywhere. Easy to build on and embed in your pipelines and products.

Affordable

Cost-competitive rates with complete price transparency. Spend controls before you run, and every job reports its exact cost.

Enterprise-grade

Built for production and scale from day one. Fully observable and monitored, running securely in our cloud or yours.

Built for high-volume, high-throughput production

  • Zero data retention
  • Priority rate limits
  • Enhanced support
  • VPC and on-prem deployment

Available on Team and Enterprise plans. VPC and on-prem deployment require an Enterprise plan.

Compare plans
Capabilities

Certificate of Insurance processing highlights

Producer and insured blocks
Insurer letters and NAIC numbers
Coverage rows as arrays
Policy numbers and dates
Each occurrence and aggregate limits
Occurrence or claims-made boxes
Aggregate basis checkboxes
Form edition and certificate number
Description of operations text
Certificate holder block
Signature presence
Bounding box for every value
FAQs

Questions, answered

Yes. Model the limits as an array of name and amount pairs. Each amount in the two-column ladder comes back beside the label printed to its left, and grounds to its own cell.

Yes. Parsing marks each checkbox as checked or unchecked in the Markdown. A field described as occurrence or claims-made returns the checked option, and the aggregate basis comes back as policy, project or location.

Model coverages as an array, and each filled row returns one entry with its own policy number and limits. Empty sections add no entries. A blank field, such as an empty certificate holder box, comes back as null.

Yes. A schema names the fields you want and describes them in plain language. The x-alternativeNames keyword lists other labels a field may carry, for brokers whose forms word a heading differently.

Each extracted value carries the character range it was quoted from in the parsed Markdown. The Ground API maps that range to a page and a bounding box, so a reviewer sees each limit in the cell that printed it.

Start extracting certificate of insurance data

Reliable, structured outputs with full traceability in minutes