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Graded 7 October 2026

Can Landing AI process scanned pages inside a mixed digital PDF?

Landing AI failed this mixed PDF scenario: it returned the scanned-page values and the digital line items correctly, but total_due came back as “#1,246.80” instead of “£1,246.80”.

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.

Values on both digital and scanned pagesFailEvidence
What we sent
InputDocument (PDF)
Three-page invoice PDF: digital header, scanned delivery note, and digital goods table with totals.
Open the PDF ↗
What the tool returned
Text17 lines
{
  "data": {
    "total_due": "#1,246.80",
    "received_by": "J. Whitlock",
    "vehicle_registration": "LR19 KVM",
    "line_item_description": "Dosing pump, 240V, Chemical feed tubing, 10m coil, Inline flow sensor"
  },
  "extractionMetadata": {
    "total_due": { "value": "#1,246.80", "ranges": [ { "start": 1815, "end": 1824 }, { "start": 761, "end": 788 } ] },
    "received_by": { "value": "J. Whitlock", "ranges": [ { "start": 969, "end": 986 } ] },
    "vehicle_registration": { "value": "LR19 KVM", "ranges": [ { "start": 839, "end": 869 } ] },
    "line_item_description": { "value": "Dosing pump, 240V, Chemical feed tubing, 10m coil, Inline flow sensor", "ranges": [ { "start": 1331, "end": 1348 }, { "start": 1425, "end": 1455 }, { "start": 1531, "end": 1549 }, { "start": 885, "end": 918 } ] }
  },
  "extract_id": "extract-01m4an9njhahxsteszb434cx21",
  "parse_run_id": "parse-01m4an8yxeaj98q65443v587vd",
  "created_at": "2026-10-07T07:47:32.265Z"
}

Copied from Proof 1 · Output file (text), lines 1–17

Open the text file ↗
Proof 1Output file (text)
JSON response listing the four extracted values and their source character ranges.

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

Open the text file ↗
Expected vs. Found
✗Expected: All values returned, with no scanned values missing or invented, no digital values degraded, and an honest note if part could not be read.Found: All four values were returned; the scanned-page values were exact, and total_due appeared as “#1,246.80” instead of “£1,246.80”.
Supporting proof
Proof 2Screenshot
Web app screenshot on page 3 showing the four extracted values and blue highlights on the totals.
Open original ↗
Why this result

The check asked for values across the digital and scanned pages. Landing AI returned all four values; the two scanned-page values and the three line-item descriptions were exact, but total_due showed “#1,246.80” instead of “£1,246.80”.

Also observed on this row

Source ranges shown. The response includes source character ranges for each extracted value, so each value can be traced back to the document text.

Tested by Rugved nichite · evidence dated 7 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)
Surface
Web app
Set up before the run
A digital page came first and an image-only page came second. The task asked for values from both pages of one document.
Surface mode
Extract playground
Extraction schema
JSON schema with 4 string fields
Tested
7 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
CapabilityOCR →
ScenarioA document mixing digital and scanned pages →
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

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Point out an issue

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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/a-document-mixing-digital-and-scanned-pages · 0 pass · 1 fail · coverage 1/1 · graded 2026-10-07

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.

Input · Document (PDF) ↗application/pdf · 176 KB
Proof 2 · Screenshot ↗image/png · 127 KB
Proof 1 · Output file (text) ↗text/plain; charset=utf-8 · 1 KB
File fingerprints (SHA-256)

A fingerprint identifies the exact file used for this result.

Input · Document (PDF)89fb14d7c0897bbfef47ffa3aa3930ee7eccf62c8a9430710d1906598c9bdfec
Proof 2 · Screenshot3f68d3a226b35481d4dd721cf9e465eaf34a90c90afb36202ff7539a01cc82ab
Proof 1 · Output file (text)ca871ffdd0ac592969be5f182cb496e56fe0fcde9fea47d84f658f0a1fc2fac1