Evidence

How these numbers were measured

The home page compares this converter against three others and quotes figures for all of them. Those figures came from real conversions of real documents, and the output is on this page. Download any of it, run the command next to it, and you get the number back.

Competitor output was captured in August 2026. Converters change; a result that held then may not hold now, and if you find one that has moved, tell us and it gets re-run.

How the tests were run

  • One document, four converters

    Every comparison on the home page uses the same fifteen-page paper — arXiv 1706.03762, Attention Is All You Need. Comparing tools on documents they each chose would prove nothing.

  • Anonymous, free tier, nothing paid

    Each competitor was driven in a separate Chromium session with no account, no sign-in and no purchase. Where the free tier refused to finish, that refusal is the result and is recorded as one — not filled in from a paid run.

  • Ours came from the shipping pipeline

    The pdf2md.me output here is written by pnpm bench, which runs app/features/pdf-convert/conversion.ts — the same module the browser worker runs. It is not a separate implementation kept in step by hand.

  • No private documents

    Every source is a public third-party document. Nothing belonging to anyone was uploaded to a competitor to produce these files.

Every claim, and the file behind it

The left column is quoted from elsewhere on this site. The right is the command that gets it back out of the linked file.

ClaimOutputReproduce it
pdf2md.net returns zero table rows for the whole paper.pdf2md.net outputgrep -c '^|' 01-academic-2col.md → 0
The same paper here yields 103 table rows across 10 tables.pdf2md.me outputpnpm bench 01-academic → tables 10, tableRows 103
PDF.ai turns the same fifteen-page paper into 310 H2s and no H1.PDF.ai outputgrep -c '^## ' → 310 · grep -c '^# ' → 0
Of iLovePDF's 43 links, 38 point at an anchor that does not exist.iLovePDF outputgrep -o '](' | wc -l → 43 · grep -o '](#page-0)' | wc -l → 38
iLovePDF stops a free conversion at 30 pages.Feed it any document over 30 pages: "This tool is limited to 30 pages per task", then a sign-up wall. No output exists to publish.
A 293-page annual report converts to 2,469 table rows.pnpm bench 12-chinese-financial → tableRows 2469. The source is 12 MB, so it is identified by hash below rather than mirrored.
A 152-page annual report converts in one pass.pnpm bench 03-financial → pages 152, sourcePages 152. No timing is quoted anywhere on this site; see the gaps below for why.

The source documents

These are public third-party documents, so this site links to the publisher rather than handing out a copy — and gives the SHA-256 of the exact file that was tested, so you can confirm you have the same one.

DocumentPagesSHA-256
arXiv 1706.03762 — Attention Is All You Need01-academic-2col.pdf15bdfaa68d8984f0dc02beaca527b76f207d99b666d31d1da728ee0728182df697
arXiv 1512.03385 — Deep Residual Learning (CVPR two-column)08-true-2col.pdf121e0651b6810ecba34a3dbc5b5b0209226f889004607c1f203540a48d64e5a93a
Berkshire Hathaway 2023 annual report03-financial-10k.pdf1522132b85f9c472a6f0b141551adb08d93f88db28e6a3794e7e2b13ca3f8a57b5b
CAICT — Data Elements White Paper 202307-chinese.pdf5376d7be1cb18418a2e76554023e4e9ad580bb7c5eea2cfc852406ed1c809dbbd9
PetroChina 2023 annual report, A-share Chinese edition12-chinese-financial.pdf293b845502e533311280f89d59c2a92c67f94f2be17451e51e55f93a1d52abe6692

What is missing, and why

  • CloudConvert was never measured

    An anonymous conversion returns 402 before producing anything, so there is no output to publish. It is left out of every comparison rather than scored on a guess.

  • No conversion time is quoted anywhere

    The same 152-page file on the same machine measured anywhere from 1.8 to 12.9 seconds, and 24.8 in a background tab. A number that unstable says more about the browser than the converter, so it is shown live while you wait and never printed as a claim.

  • The link and heading figures are one document each

    They come from the paper above, not from an average over the corpus. A different PDF can behave differently — which is the argument for trying your own rather than trusting this page.

  • Every figure is what one run produced

    Ours is deterministic and reproducible with the command beside it. Theirs is a capture of a service that can change under it at any time.

Try it on a document you already know

The fastest way to check any of this is a file whose right answer you already have in your head.