AI Demos Research — the structured-intelligence platform. Every verdict on these pages opens to the execution behind it.
Graded 8 October 2026

Can Landing AI filter records across documents?

Landing AI did not filter records across the document set in this test. The chat reply said it could not find the answer in the provided document, and the results were shown one file at a time. The extracted values still matched their source invoices.

1 of 1 test case failed

Every test case in this scenario has a result.

Pass rate0%0 of 1 with a result
Coverage1 of 1test cases with a result
0PassNo test case passed.
1FailMissed at least one thing it was expected to do; the reason and proof are on the row.
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.

Filter across the extracted setFailEvidence
What we sent

“Across the invoices in this project (Blackwood, Thistlewood and HIS-4402), which ones have a total due over £2,500?”

Input 1Document (PDF)
Blackwood source invoice with total £6,591.24.
Open the PDF ↗
Input 2Document (PDF)
Thistlewood source invoice with total due £1,754.40.
Open the PDF ↗
Input 3Document (PDF)
HIS-4402 source invoice with total due £1,246.80.
Open the PDF ↗
What the tool returned

The tool's reply is shown in the screenshots under Proofs.

Expected vs. Found
✗Expected: Exactly the matching records across the whole extracted set.Found: It said it could not find the answer; the visible results were per-file only.
Supporting proof
Proof 1Screenshot
Chat asks across three invoices and replies it cannot find the answer.
Open original ↗
Proof 2Screenshot
Blackwood extract shows invoice reference and total due.
Open original ↗
Proof 3Screenshot
Thistlewood extract shows invoice reference and total due.
Open original ↗
Proof 4Screenshot
HIS-4402 extract shows invoice reference and total due.
Open original ↗
Proof 5Captured file (text)
JSON run record with per-file results and the chat exchange.
Text31 lines
{
  "project": "main_invoice_multipage_blackwood and 2 others (3 files, one project)",
  "schema": "schemas/schema_TC80.json",
  "extract_scope": "All Files (one extraction per file)",
  "results": [
    {
      "file": "main_invoice_multipage_blackwood.pdf",
      "data": {
        "invoice_reference": "MRG-INV-20481",
        "total_due": 6591.24
      }
    },
    {
      "file": "SiblingA1_Thistlewood_PlantHire.pdf",
      "data": {
        "invoice_reference": "TPH-3301",
        "total_due": 1754.4
      }
    },
    {
      "file": "invoice_HIS-4402 - Digital+Scanned+Digital.pdf",
      "data": {
        "invoice_reference": "HIS-4402",
        "total_due": 1246.8
      }
    }
  ],
  "chat_question": "Across the invoices in this project (Blackwood, Thistlewood and HIS-4402), which ones have a total due over £2,500?",
  "chat_answer": "I cannot find the answer in the provided document.",
  "chat_note": "Chat works with this file only and isn't available as an API."
}
Open the text file ↗
Why this result

The cross-document question was asked in Chat, and the product replied that it could not find the answer in the provided document. The results view showed only one file at a time, while each extracted value matched its source invoice.

Tested by Rugved nichite · evidence dated 8 October 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
Landing AI
Build or version
DPT-3 Pro (parse model; app version not exposed)
Plan or tier
Explore (free credits, no subscription)
Model
DPT-3 Pro
Surface
Web app
Set up before the run
Several same-kind documents were needed, each with one comparable number. The task was to ask which documents met one simple condition across the whole extracted set.
Extraction scope
All Files (one extraction per file)
Schema version
v1
Tested
8 October 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

This page is one cell of a larger study: one tool, one scenario. Only this benchmark's frame appears here.

LevelNameScope
BenchmarkStructured Document Extraction →19 scenarios · 10 tools
CapabilityQuerying →
ScenarioFilter records across documents →
ToolLanding AI →

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
9 October 2026First publishedStructured Document Extraction v1

Act on this result

Nothing filed here edits the run or the grade. A challenge opens a review, and a review can produce a new run or a re-grade — which becomes the current result and leaves this one in the history.

This matches what I see

You run the same kind of test against your own setup and get the same behaviour.

Agree →
This does not match

Yours behaves differently. Tell us what you got, with a screenshot if you have one.

Disagree →
Point out an issue

Something here is wrong — a reference value, a transcription, a grade.

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Request a retest

On a newer build, a larger dataset, or your own setup.

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We have fixed this

Tell us what changed and we schedule a rerun of the failing test case. The old result stays as history.

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/landing-ai/filter-records-across-documents · 0 pass · 1 fail · coverage 1/1 · graded 2026-10-08

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 · Screenshot ↗image/png · 97 KB
Proof 2 · Screenshot ↗image/png · 145 KB
Proof 3 · Screenshot ↗image/png · 131 KB
Proof 4 · Screenshot ↗image/png · 112 KB
Input 1 · Document (PDF) ↗application/pdf · 82 KB
Input 2 · Document (PDF) ↗application/pdf · 78 KB
Input 3 · Document (PDF) ↗application/pdf · 176 KB
Proof 5 · Captured file (text) ↗text/plain; charset=utf-8 · 1 KB
File fingerprints (SHA-256)

A fingerprint identifies the exact file used for this result.

Proof 1 · Screenshot18f95eb52728f130ae2ae2ce6a2673341bf4113341be1d502e988da819139190
Proof 2 · Screenshotbc9b488f3a1ff1c0956678b49459f05ddb932a3e6d1709512847cdbcea8c0e20
Proof 3 · Screenshot2ee0acf2a17612d06ccb80d518d8d0a4d744b2b58fe22a39b3520eccfb03286b
Proof 4 · Screenshota62d5023a2ceab40acdf78661986695cc42f0bf76fa850189de1aa1fe0433052
Input 1 · Document (PDF)d1f3282702260730267278b1071ee30cf79918fa8489d9411c98d8f6e5209f18
Input 2 · Document (PDF)fdcf03ac5ee53b083da58166f17fd41e7c72de79a9f3a3f6b67daa1360ddbca9
Input 3 · Document (PDF)89fb14d7c0897bbfef47ffa3aa3930ee7eccf62c8a9430710d1906598c9bdfec
Proof 5 · Captured file (text)4604bb81e61dc6585433b4015857104da48eef9856fb59e3f4d9ae457c86b9dd