Scenario in benchmark · Version 1

Repair a record

A correction workflow repairs an extracted record by adding a needed member and removing an unwanted one.

How the tools performed

Every in-scope tool is visible. Outcomes come from current published Results for this scenario and benchmark version.

No published results for this scenario yet.

No published result does not tell you whether a tool has been tested. Test coverage is shown only for comparable published Results.

ToolPublished outcomesTest coverageResult
No published result · alphabetical
Datalab——No published result
Docsumo——No published result
Extend AI——No published result
FutureSmart Document Intelligence——No published result
Landing AI——No published result
LlamaParse——No published result
Nanonets——No published result
Reducto——No published result
Retab——No published result
Unstract——No published result

Assessed = Pass + Fail + Not gradable. Gradable = Pass + Fail. Both use the published Result’s pinned-test denominator. — means not publicly available.

Test design

Pinned test cases
1
Disclosure
0 public · 1 withheld
Capabilities exercised here
Review and Correction

What this scenario evaluates

  • Whether the repaired set includes the intended member.
  • Whether the repaired set no longer includes the unintended member.
  • Whether the remaining members stay unchanged.
  • Whether the corrected record persists after the repair is saved or passed on.

Exact wording, inputs, fixture state, expected output and detailed grading remain at the test-case level and may be withheld while the benchmark version is active. The scenario and its evaluation intent are public.

How the results are graded

  • Pass: the test-case expectations hold.
  • Fail: an expectation demonstrably does not hold.
  • Not gradable: the evidence cannot establish the outcome.

Version 1 uses test-case expectations; no scenario rubric is pinned.

Benchmark methodology →
Repair a record in Structured Document Extraction | AI Demos