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Document type

Extracting data from student loan statements

Loan servicers and government agencies issue student loan statements in their own layouts, from US federal servicers to New Zealand's Inland Revenue. Mortgage lenders request one when the credit report needs support, such as a payment in deferment or reported as zero, usually as a PDF from the servicer's portal.

Underwriting needs the current balance, the monthly payment and the repayment status. The loan origination system counts the payment in the debt-to-income ratio, or a percentage of the balance where the statement shows a payment of zero.

Page 1 of a sample Student Loan Statement, with extracted values outlined
5,671Markdown characters
64parse blocks
34fields extracted
The problem

What makes student loan statements hard

Several loans on one account

A US federal servicer often lists each disbursed loan separately under one account, each with its own balance and interest rate.

Status changes the payment

A loan in deferment or forbearance can show a payment of zero, with the date that status ends printed in a separate section.

Servicers in many countries

A statement from a US federal servicer and one from a national tax agency differ in layout, date format and the identifier they carry.

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 student loan statement, end to end

About this document: A New Zealand student loan statement from Inland Revenue, the government's tax agency. Three portrait pages: a balance callout, then tables of increases and decreases to the loan, and notes on repayment. Page 1 is featured. Every name, address and identifier was replaced with stand-ins before parsing.

Processing objective: The objective is to see how the balance was reached. Course fees and living costs add to the loan, interest and salary deductions come off it, and the current balance is what remains. Each value grounds to its own line, sign intact.

Demonstration fields: Compulsory course fees, Living costs, Interest, Salary and wage deductions, Current loan balance

The document

3 of 3 pages
  • Page 1 of the sample Student Loan StatementPage 1shown below
  • Page 2 of the sample Student Loan StatementPage 2
  • Page 3 of the sample Student Loan StatementPage 3

Where each value came from

Page 1 of the sample Student Loan Statement, with every featured field outlined
Compulsory course feesincreases[0].amount
13,509.6
The region of the sample Student Loan Statement containing Compulsory course fees, with the extracted value outlined
extraction_metadata["increases[0].amount"]
{
  "value": 13509.6,
  "page": 1,
  "range": {
    "end": 920,
    "start": 910
  },
  "box": {
    "xmin": 0.32415,
    "ymin": 0.47834,
    "xmax": 0.90942,
    "ymax": 0.49962
  }
}
Living costsincreases[2].amount
2,958.48
The region of the sample Student Loan Statement containing Living costs, with the extracted value outlined
extraction_metadata["increases[2].amount"]
{
  "value": 2958.48,
  "page": 1,
  "range": {
    "end": 1026,
    "start": 1017
  },
  "box": {
    "xmin": 0.32404,
    "ymin": 0.52127,
    "xmax": 0.90938,
    "ymax": 0.54419
  }
}
Interestdecreases[1].amount
-589.12
The region of the sample Student Loan Statement containing Interest, with the extracted value outlined
extraction_metadata["decreases[1].amount"]
{
  "value": -589.12,
  "page": 1,
  "range": {
    "end": 1345,
    "start": 1337
  },
  "box": {
    "xmin": 0.32367,
    "ymin": 0.6837,
    "xmax": 0.90921,
    "ymax": 0.70581
  }
}
Salary and wage deductionsdecreases[2].amount
-2,046.12
The region of the sample Student Loan Statement containing Salary and wage deductions, with the extracted value outlined
extraction_metadata["decreases[2].amount"]
{
  "value": -2046.12,
  "page": 1,
  "range": {
    "end": 1409,
    "start": 1399
  },
  "box": {
    "xmin": 0.32361,
    "ymin": 0.70573,
    "xmax": 0.90918,
    "ymax": 0.73197
  }
}
Current loan balancecurrent_loan_balance
26,452.96
The region of the sample Student Loan Statement containing Current loan balance, with the extracted value outlined
extraction_metadata["current_loan_balance"]
{
  "value": 26452.96,
  "page": 1,
  "range": {
    "end": 1528,
    "start": 1468
  },
  "box": {
    "xmin": 0.08882,
    "ymin": 0.76511,
    "xmax": 0.9105,
    "ymax": 0.78641
  }
}

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.

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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.

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Capabilities

Student Loan Statement processing highlights

Current loan balance
Salary deduction repayments
Borrowing by type
Interest charged
Interest and late payment rates
Signed increases and decreases
Statement and as-of dates
Non-US date formats
Repeated balances kept apart
Dates normalized to ISO
No per-servicer templates
Bounding box for every value
FAQs

Questions, answered

Yes. A decrease printed with a minus sign comes back as a negative number when the field is typed as a number. Grounding still points at the figure as the statement printed it.

Yes. Describe the date fields in your schema, and a date written day first with the month in words comes back in ISO form. Grounding points at the date as printed.

No. A schema names the fields you want and describes them in plain language. Extraction reads the parsed statement for meaning, so one schema covers each servicer's own layout and labels.

Every 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 amount on the line that printed it.

Start extracting student loan statement data

Reliable, structured outputs with full traceability in minutes