Scenario in benchmark · Version 1

An ordinary digital text document

A plain digital text document used as the baseline text-only document condition.

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
doc2mark——No published result
Docling——No published result
GPT-5.6 terra——No published result
LiteParse——No published result
Marker——No published result
MarkItDown——No published result
MinerU——No published result
olmOCR——No published result
PaddleOCR-VL——No published result
PyMuPDF4LLM——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
1 public · 0 withheld
Capabilities exercised here
Text Fidelity

What this scenario evaluates

  • Whether every paragraph is preserved complete and unchanged.
  • Whether nothing is silently missing, garbled, or invented.
  • Whether the result remains recognisably plain text without unintended changes to the content.

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 →
An ordinary digital text document in Converting a complex PDF into clean Markdown with an open-source library | AI Demos