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Graded 13 October 2026

Does LlamaParse keep corrected data moving downstream?

LlamaParse failed to keep the corrected value moving downstream in this case. The delivered JSON and the results panel both still showed RHS-70234, and the same four extracted values were visible; the correction was not shown as applied on this surface, so the case only covers what the delivery paths returned.

1 of 1 test case failed

Every test case in this scenario has a result.

Pass rate0%0 of 1 gradable
Coverage1 of 1test case 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.

Correction survives the delivery pathFailEvidence
What we sent
InputDocument (PDF)
Source receipt PDF with original receipt number and totals
Open the PDF ↗
What the tool returned
JSONlines 1–7, line 106 of the file · copied lines 2–7
{
  "data": {
    "receipt_number": "RHS-70234",
    "subtotal": "$85.00",
    "tax": "$5.10",
    "total_due": "$90.10"
  },
…
}

Downloaded JSON with original extracted receipt number and totals

Copied from Output file (JSON), lines 2–7

Open the JSON file ↗
Expected vs. Found
✗Expected: The delivery path should carry the corrected value downstream.Found: It did not: both the delivered JSON and the results panel still showed RHS-70234, the original value, instead of the corrected one.
Supporting proof
Proof 1Screenshot
Results screen showing original extracted receipt number and totals
The tool’s response is printed above, under What the tool returned. Show this screenshotOpen original ↗
Why this result

It was required to carry the corrected value downstream, but both readout paths still returned RHS-70234 instead. The correction was not shown as applied on this surface, so this case measures what the delivery paths carried.

Tested by Rugved nichite · evidence dated 13 October 2026
Limitations of this result

Only the two read delivery paths are covered here; no webhook or destination-sync payload was observed.

The correction was not shown as applied on this surface, so the case covers what the delivery paths returned.

It shows the results panel, but not the download action or any later state.

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
LlamaParse
Build or version
LlamaCloud web app (build v09046f5c); Extract, Agentic tier
Plan or tier
Free plan (20,000 credits)
Surface
Web app
Set up before the run
A corrected value had to already exist in the same session, then the same record was read back through the product's own delivery path, such as export, API, webhook or sync.
Extraction tier
Agentic
Tested
13 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.

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
29 October 2026First publishedStructured Document Extraction v1

Act on this result

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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.

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Point out an issue

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Request a retest

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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/llamaparse/corrected-data-goes-downstream · 0 pass · 1 fail · coverage 1/1 · graded 2026-10-13

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 · 54 KB
Output file (JSON) ↗text/plain; charset=utf-8 · 3 KB
Proof 1 · Screenshot ↗image/png · 150 KB
File fingerprints (SHA-256)

A fingerprint identifies the exact file used for this result.

Input · Document (PDF)a96bbe1c5b22336e7b54169baf72b85e45eabf1312cd293a1821017b52fa85f7
Output file (JSON)3a7cfe20b9688699abbcea0d2145b4408c480c311ce89d021170eae7512658e5
Proof 1 · Screenshot7d0bf2bd3cb8f89a56b8d7b6cd836a9345363f9bf2f0df9d5cc737f934975761