Scenario in benchmark · Version 1

A document with a data chart

A document includes a data chart that must be converted as part of the page.

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
Figures & Charts

What this scenario evaluates

  • Whether the chart remains present as a visual asset in the converted output.
  • Whether the chart stays associated with its original position and its title or caption.
  • Whether any extra textual chart details are treated as optional enrichment, not as the minimum bar.
  • Whether the visual chart is not replaced by prose alone.

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 →
A document with a data chart in Converting a complex PDF into clean Markdown with an open-source library | AI Demos