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Graded 23 September 2026

Can FutureSmart Document Intelligence extract repeated records?

FutureSmart Document Intelligence correctly extracted a repeated set of records from the invoice, with the three line items bound to the right records. It matched the source on description, quantity, unit price, amount, and GBP currency. A delivery note on page 2 yielded no extractable text in this pass, so that page’s contents were not visible here.

1 of 1 test case passed

Every test case in this scenario has a result.

Pass rate100%1 of 1 with a result
Coverage1 of 1test cases with a result
1PassDid everything it was expected to do.
0FailNo test case failed.
0Not gradableEvery result here could be graded.
0UntestedEvery test case in this scenario has a result.
The pass rate is a summary. The evidence is the test case below: what we sent, what we checked, what the tool returned, and the proof.

The test case

Each test case is judged on its own: Pass, Fail, Not gradable, or Untested. The scenario result above counts this row.

Repeated set with correct associationPassEvidence
What we sent
InputDocument (PDF)
Three-page invoice HIS-4402 from Harrowgate Industrial Supplies Ltd to Fenwick Water Treatment Ltd.
Open the PDF ↗
Key momentsp. 3 ↗
What the tool returned
JSON26 lines
{
  "summary": "This document is an invoice from Harrowgate Industrial Supplies Ltd to Fenwick Water Treatment Ltd for the supply of dosing and chemical-feed equipment. It includes a delivery note confirming the receipt of the items on 18 February 2026.",
  "document_type": "invoice",
  "line_items": [
    {
      "amount": 680,
      "quantity": 2,
      "unit_price": 340,
      "description": "Dosing pump, 240V"
    },
    {
      "amount": 144,
      "quantity": 3,
      "unit_price": 48,
      "description": "Chemical feed tubing, 10m coil"
    },
    {
      "amount": 215,
      "quantity": 1,
      "unit_price": 215,
      "description": "Inline flow sensor"
    }
  ],
  "currency": "GBP",
  "file_name": "invoice_HIS-4402_-_Digital_Scanned_Digital.pdf"
}

Copied from Proof 1 · Output file (JSON), lines 1–26

Open the JSON file ↗
Proof 1Output file (JSON)
Extraction output JSON for invoice HIS-4402 with three line items.

Its contents are printed above, under What the tool returned.

Open the JSON file ↗
Expected vs. Found
What this scenario evaluates

These are scenario-level criteria. Each test case's Expected and Found are listed separately.

  • Whether every genuine record in the repeated set is returned.
  • Whether each value stays attached to the correct record.
  • Whether no extra records are invented and no genuine record is omitted.
How this scenario is judged →
✓Found: All three line items were present with correct values and associations; none were dropped, duplicated, or misbound.
Why this result

The output matched the invoice’s three goods-supplied line items, with the correct quantities, unit prices, amounts, and record association. No item was dropped, duplicated, or bound to the wrong record.

Also observed on this row

item_code omitted. The output did not include the item_code field, even though the schema defined it. That gap affects completeness, not the record-to-field association check.

Tested by Rugved nichite · evidence dated 21 September 2026

Configuration and setup

How this tool was set up for the run and what the test needed in place. Each row is a fact from the run's records; a fact the records do not hold is left out, not guessed.

Software that produced the output
FutureSmart Document Intelligence
Set up before the run
A one-page set with about three records and two fields, containing only real members, was provided, and the product was run to extract every member of a plainly delimited set.
Tested
By 21 September 2026 · Rugved nichite

How this scenario is graded

How we decide Pass, Fail and Not gradable. The same rules apply to every tool tested on this scenario.

How results are decided

Each test case gets one result per tool: Pass, Fail or Not gradable. A test case we haven't run yet shows Untested. There are no partial results.

The rules
  • Pass: the tool did everything the test expected, and nothing it said contradicts the correct answer.
  • Fail: at least one expected behaviour clearly didn't happen; the row says which and quotes the tool.
  • Not gradable: our evidence couldn't settle the outcome (for example a record we needed is missing). It is never counted as a fail, and the row says what's missing.

Where this sits in the benchmark

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History of this result

What has happened to this result since it was first published. Runs and grades are never overwritten: a retest or a re-grade publishes a new result and keeps the earlier one readable.

from the publication record
6 October 2026First publishedStructured Document Extraction v1

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This matches what I see

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We have fixed this

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Vendor notice →
Filed against this evidenceNothing yet. Challenges, counter-evidence and fix notices appear here with their outcome, and stay on the page after they are resolved.
Cite this result
aidemos.com/benchmarks/structured-document-extraction/results/futuresmart-document-intelligence/a-repeated-set-of-records · 1 pass · 0 fail · coverage 1/1 · graded 2026-09-23

The same record is available as structured data through the AI Demos MCP server, with the counts, the coverage and every per-test-case reason carried as fields.

Verify the proof files

These files support this result. Open a file to inspect the original evidence.

Proof 1 · Output file (JSON) ↗application/json · 1 KB
Input · Document (PDF) ↗application/pdf · 176 KB
File fingerprints (SHA-256)

A fingerprint identifies the exact file used for this result.

Proof 1 · Output file (JSON)3b4d2c80f2efe9c029eb21cb5327f8d01a1f192d872ff1e281a30f57d4827485
Input · Document (PDF)89fb14d7c0897bbfef47ffa3aa3930ee7eccf62c8a9430710d1906598c9bdfec