Head to head

unpdf vs Hyperbots

Same fixture, different extraction paths. These results describe this adapter configuration and this small test set.

Configured adapter capabilities
Capability	unpdf	Hyperbots
Output	text	text
OCR	none	builtin
Licence	MIT	LicenseRef-Proprietary
Parser charge	No parser API fee	$0.04/page estimate

When to test unpdf

Measure whether simple extraction is sufficient for documents with straightforward text.

Text output does not promise Markdown tables. Missing pipe tables is not an extractor malfunction.

When to test Hyperbots

Evaluate a paid OCR path on financial documents, subject to the site's paid-run quota.

Not included in the free fixture benchmark. No scanned-document accuracy claim is published here.

Measured fixture results

How these checks work

Captured 2026-09-12 · darwin/arm64 · Node v22.21.1. Median of up to three sequential local samples. Timings will vary on other machines.

No published measurement for Hyperbots. No score or timing is inferred.

Measured parser results on synthetic fixtures
Fixture / parser	Status	Median	Aligned cells	Reading order
unpdftext-layer.pdf	ok	2.0 ms	Not scored	Not scored
unpdftables.pdf	ok	1.0 ms	0/9 (0%)	Not scored
unpdfragged-table.pdf	ok	1.0 ms	0/20 (0%)	Not scored
unpdfmulti-column.pdf	ok	1.0 ms	Not scored	Changed · 40/40 lines

unpdf · text-layer.pdf · raw output

Samples: 2.0 ms, 2.0 ms, 1.0 ms

<!-- Page 1 -->

Quarterly Report
Revenue grew 12% year over year.

unpdf · tables.pdf · raw output

Samples: 2.0 ms, 1.0 ms, 1.0 ms

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Financial Summary
Region Q1 Q2 Q3
North 120 145 160
South 98 102 115
East 210 198 225

unpdf · ragged-table.pdf · raw output

Samples: 2.0 ms, 1.0 ms, 1.0 ms

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Q3 Results by Region
Region Manager Q1 Q2 Q3 Notes
North Alice Chen 120 145 160 strong
South 98 102 115
East Bob Lee 210 198 225 recovering
West Dana 88 99 pending

unpdf · multi-column.pdf · raw output

Samples: 1.0 ms, 2.0 ms, 1.0 ms

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On Reading Order
Left column line 1. Right column line 1.
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