Tool in benchmark · Version 1

PyMuPDF4LLM in Converting a complex PDF into clean Markdown with an open-source library

Scenario-level performance from current published Results.

4Passed
3Failed
5No published Result yet

7 of 12 scenarios published

CapabilityScenariosResult
Code Extraction1 pass · 0 fail · 1 of 1 published
Equations & Mathematical Notation0 pass · 1 fail · 1 of 1 published
Figures & Charts0 pass · 1 fail · 1 of 2 published
Heading & Section Structure1 pass · 0 fail · 1 of 2 published
Scanned Document OCR1 pass · 0 fail · 1 of 2 published
Table Extraction1 pass · 0 fail · 1 of 2 published
Text Fidelity0 pass · 1 fail · 1 of 1 published
Reading Order & Layout0 of 1 published
PassedFailedPublished, different test setNo published Result yet

Where PyMuPDF4LLM failed

3 of 7 graded scenarios. Open a Result to see the conversation and the evidence.

Equations & Mathematical Notation

A document containing mathematical equations

PyMuPDF4LLM did not preserve the document’s equations in Markdown. It omitted all six display equations without providing math markup, an image or a placeholder.

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Figures & Charts

A document with a data chart

PyMuPDF4LLM did not preserve the chart as an image in its default conversion. It retained the title but omitted the twelve plotted values. In a separate run with image embedding enabled, it emitted the chart as a PNG with its title and all twelve bars.

View Result →
Text Fidelity

An ordinary digital text document

PyMuPDF4LLM fails to keep an ordinary digital text document complete and unchanged. It keeps the words, but it invents structure at page breaks: a body continuation becomes a level-3 heading with underline markup, and running headers are folded into body sentences.

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How PyMuPDF4LLM performed

Open a capability to explore its scenarios. Each row reports the test set in its published Result.

Code Extraction1 pass
ScenarioPublished outcomesTest coverageResult
A document containing a code block
1 Pass0 Fail0 Not gradable
1 of 1 test case passed
What happened

PyMuPDF4LLM keeps the function as fenced Markdown with its line breaks and indentation intact. The function appears in its own fence with eight code lines and no tabs; the import line is fenced separately, and the blank lines before the loop and return are omitted.

1/1 assessed1/1 gradablePublished test setView Result →
Equations & Mathematical Notation1 fail
ScenarioPublished outcomesTest coverageResult
A document containing mathematical equations
0 Pass1 Fail0 Not gradable
1 of 1 test case failed
What happened

PyMuPDF4LLM did not preserve the document’s equations in Markdown. It omitted all six display equations without providing math markup, an image or a placeholder.

1/1 assessed1/1 gradablePublished test setView Result →
Figures & Charts1 fail1 no Result yet
ScenarioPublished outcomesTest coverageResult
A document with a data chart
0 Pass1 Fail0 Not gradable
1 of 1 test case failed
What happened

PyMuPDF4LLM did not preserve the chart as an image in its default conversion. It retained the title but omitted the twelve plotted values. In a separate run with image embedding enabled, it emitted the chart as a PNG with its title and all twelve bars.

1/1 assessed1/1 gradablePublished test setView Result →
A document with figures and captionsNo published result
Heading & Section Structure1 pass1 no Result yet
ScenarioPublished outcomesTest coverageResult
A document with styled headings and subheadings
1 Pass0 Fail0 Not gradable
1 of 1 test case passed
What happened

PyMuPDF4LLM kept the heading hierarchy in this PDF-to-Markdown run. It produced 15 #, 9 ## and 2 ### lines in source order; the three body-sized title lines were emitted as ####, but that false positive did not change the real heading structure.

1/1 assessed1/1 gradablePublished test setView Result →
Footnotes at the bottom of the pageNo published result
Scanned Document OCR1 pass1 no Result yet
ScenarioPublished outcomesTest coverageResult
A document mixing digital and scanned pages
1 Pass0 Fail0 Not gradable
1 of 1 test case passed
What happened

PyMuPDF4LLM passed this mixed-PDF scenario: the scanned page was OCR'd and kept between the surrounding digital pages. The worksheet values were recovered, and one OCR sentence is visibly garbled without the page being skipped.

1/1 assessed1/1 gradablePublished test setView Result →
A cleanly scanned documentNo published result
Table Extraction1 pass1 no Result yet
ScenarioPublished outcomesTest coverageResult
A simple, clearly formatted table
1 Pass0 Fail0 Not gradable
1 of 1 test case passed
What happened

PyMuPDF4LLM kept the simple table intact as a Markdown table. The source and output both show one header row, eight data rows, and all 36 cells in the same order, with nothing merged, split, reordered, or dropped.

1/1 assessed1/1 gradablePublished test setView Result →
A table that continues across a page breakNo published result
Text Fidelity1 fail
ScenarioPublished outcomesTest coverageResult
An ordinary digital text document
0 Pass1 Fail0 Not gradable
1 of 1 test case failed
What happened

PyMuPDF4LLM fails to keep an ordinary digital text document complete and unchanged. It keeps the words, but it invents structure at page breaks: a body continuation becomes a level-3 heading with underline markup, and running headers are folded into body sentences.

1/1 assessed1/1 gradablePublished test setView Result →
Reading Order & Layout1 no Result yet
ScenarioPublished outcomesTest coverageResult
A page laid out in multiple columnsNo published result

Reading these Results

Published evidence and test coverage answer different questions.

Publication availability

Which scenarios have a Result?

A published Result is public evidence for this tool on one scenario. “No published result” does not say whether testing has taken place.

Test coverage

What does each Result cover?

Assessed includes Pass, Fail and Not gradable. Gradable includes Pass and Fail. Both use the pinned test count in that published Result.

Scenario scope

Out of 12 scenarios

The summary counts each of the 12 scenarios once. A scenario fails when any of its published test cases failed. “No published Result yet” means nothing is public for that scenario; it does not say whether PyMuPDF4LLM was tested on it.

PyMuPDF4LLM in Converting a complex PDF into clean Markdown with an open-source library | AI Demos