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Graded 5 October 2026

Can Nanonets filter records across documents?

Nanonets returned the matching documents for the tested cross-document filter. It produced the two receipts above $150 and left out the one below that threshold. The screenshot also shows a Data Extraction step over three files before the final JSON answer.

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.

Filter across the extracted setPassEvidence
What we sent

“Extract total_due from each of these documents, then tell me which documents have a total_due greater than $150. Return the result as JSON: an array of the matching documents with their filename and total_due.”

Input 1Document (PDF)
One-page invoice showing Amount Due of $227.33.
Open the PDF ↗
Input 2Document (PDF)
One-page service receipt showing Total Due USD 157.50.
Open the PDF ↗
Input 3Document (PDF)
One-page service receipt showing Total $90.10.
Open the PDF ↗
What the tool returned
JSON10 lines
[
  {
    "filename": "TC5B_altlabel_receipt.pdf",
    "total_due": 227.33
  },
  {
    "filename": "TC5C_altlayout_receipt.pdf",
    "total_due": 157.5
  }
]

Copied from Proof 1 · Output file (JSON), lines 1–10

Open the JSON file ↗
Proof 1Output file (JSON)
JSON array listing the two matching documents and their amounts.

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

Open the JSON file ↗
Expected vs. Found
✓Expected: Exactly the matching records.Found: The product returned the two matching documents with their values and left out the third.
Supporting proof
Proof 2Screenshot
Task view showing three files, extraction, and the final JSON answer.
Open original ↗
Why this result

The three source receipts were checked against the threshold. Nanonets returned the two over $150 and omitted the one below it, so the set split correctly. The screenshot also shows a Data Extraction step over the three files before the answer.

Also observed on this row

Three-document set. Three documents were in scope, with two above the threshold and one below it.

Tested by Rugved nichite · evidence dated 10 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
Nanonets
Build or version
not_exposed
Surface
Web app
Set up before the run
Several same-type documents are needed, each with one comparable value. The question asks which documents meet one condition across the whole set.
Tested
10 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

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 →
ToolNanonets →

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

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This matches what I see

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This does not match

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Point out an issue

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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/nanonets/filter-records-across-documents · 1 pass · 0 fail · coverage 1/1 · graded 2026-10-05

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 2 · Screenshot ↗image/png · 203 KB
Proof 1 · Output file (JSON) ↗application/json · 0 KB
Input 1 · Document (PDF) ↗application/pdf · 8 KB
Input 2 · Document (PDF) ↗application/pdf · 7 KB
Input 3 · Document (PDF) ↗application/pdf · 7 KB
File fingerprints (SHA-256)

A fingerprint identifies the exact file used for this result.

Proof 2 · Screenshot99fd2081f08c63cfe9db96abc760b7a9196e340647cdb1d4cdd5cc9993f89f0e
Proof 1 · Output file (JSON)d47d366eadbc31b1d0be3e56086f7bdb2fabdb55fde68a8e9ff02ec6606f2e3d
Input 1 · Document (PDF)4a0b1754da9f52ce35a783d58f8e8a1b5e1353b5b992d5553122886f1cd4a638
Input 2 · Document (PDF)0276d246d69482340b53797f4eaa21831977cede22c8c8f14fc48dbf84757660
Input 3 · Document (PDF)1f464ae863aadb1682805b8ee3fdd8b368a2ddd4e0f602e1cb194640b9253302