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Graded 17 October 2026

Does Nutrient.io keep ordinary digital text complete and unchanged?

Nutrient.io failed on ordinary digital text. The returned Markdown kept the words, but four page breaks merged the running header into body text, while two breaks stayed clean.

1 of 1 test case failed

Every test case in this scenario has a result.

Pass rate0%0 of 1 gradable
Coverage1 of 1test case with a result
0PassNo test case passed.
1FailMissed at least one thing it was expected to do; the reason and proof are with each test case below.
0Not gradableEvery result here could be graded.
0UntestedEvery test case in this scenario has a result.
The pass rate is a summary. The evidence is the test case below: what we sent, what we checked, what the tool returned, and the proof.

The test case

Each test case is judged on its own: Pass, Fail, Not gradable, or Untested. The scenario result above is based on this test case.

Ordinary digital text — complete and unchangedFailEvidence
What we sent
InputDocument (PDF)
Input PDF: seven-page briefing note with running headers and footers
Open the PDF ↗
What the tool returned
Markdown
Page 1 of 7

Returned Markdown: the same note with page-break splices

Copied from Output file (Markdown), line 72

Open the Markdown file ↗
Markdown
Braithe Estuary Partnership
have shown so far.

Copied from Output file (Markdown), lines 77–78

Markdown
Braithe Estuary Partnership Briefing note BEP/BN/2026/04
mobilisation charge will fall in a year when the dredging cycle offers less material. The Board's

Copied from Output file (Markdown), lines 144–145

Markdown
Braithe Estuary Partnership Briefing note BEP/BN/2026/04
instructions. The second concerned turbidity in the creek at Vardenne, which was visible for

Copied from Output file (Markdown), lines 274–275

Markdown
Braithe Estuary Partnership Briefing note BEP/BN/2026/04
view is that mechanical spreading would probably move material landward faster. The

Copied from Output file (Markdown), lines 340–341

JSON
{
  "status_code": 200,
  "headers": {
    "date": "Wed, 09 Sep 2026 08:51:46 GMT",
    "content-type": "text/markdown",
    "content-length": "19295",
    "content-disposition": "attachment; filename=\"result.md\"",
    "server": "Cowboy",
    "x-pspdfkit-remaining-credits": "49",
    "x-pspdfkit-request-cost": "1",
    "x-request-id": "GNObAET9p-axHo8AAPDB"
  },
  "content_type": "text/markdown",
  "body_bytes": 19295,
  "delivery": "raw markdown body (content-type text/markdown)",
  "markdown_chars": 19282,
  "zip_members": null,
  "asset_names": null
}

HTTP exchange: request and raw Markdown response

Copied from Captured file (JSON), response

Open the whole JSON file ↗
Expected vs. Found
✗Expected: All text remains present and unchanged, with nothing missing, garbled, or invented.Found: The wording stayed intact, but four page breaks merged the header into the body, creating sentence-like text the source did not contain.
Supporting proof
Proof 1Screenshot
Comparison figure: first page break and splice
Open original ↗
Why this result

It had to keep the document complete and unchanged. The comparison found no missing or invented words, but four page breaks merged the running header into body text, so the output included sentence-like text the source did not contain.

Also observed in this test case

Some clean breaks. At the other two page breaks, the header is followed by a blank line, so the splice did not happen at every break.

Page numbers stayed separate. Each page number stayed on its own line.

Tested by Chandresh Bisht · evidence dated 9 September 2026

Configuration and setup

How this tool was set up for the run and what the test needed in place. Each row is a fact from the run's records; a fact the records do not hold is left out, not guessed.

Software that produced the output
Nutrient.io
Build or version
Not exposed by the hosted product
Plan or tier
free tier
Surface
API
Set up before the run
A short digital text PDF of plain paragraphs was converted to Markdown in the default pipeline, in one pass, with no extra actions or OCR.
Output format
markdown
Actions
no actions
Pipeline configuration
default pipeline, one pass, no actions (so no OCR), no flag tuning
Tested
9 September 2026 · Chandresh Bisht

How this scenario is graded

How we decide Pass, Fail and Not gradable. The same rules apply to every tool tested on this scenario.

How results are decided

Each test case gets one result per tool: Pass, Fail or Not gradable. A test case we haven't run yet shows Untested. There are no partial results.

The rules
  • Pass: the tool did everything the test expected, and nothing it said contradicts the correct answer.
  • Fail: at least one expected behaviour clearly didn't happen; the test case's result says which one and quotes the tool.
  • Not gradable: our evidence couldn't settle the outcome (for example a record we needed is missing). It is never counted as a fail, and the test case's result says what's missing.

Where this sits in the benchmark

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History of this result

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from the publication record
11 November 2026First publishedConverting a complex PDF into clean Markdown with a hosted API v1

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This matches what I see

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We have fixed this

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Vendor notice →
Filed against this evidenceNothing yet. Challenges, counter-evidence and fix notices appear here with their outcome, and stay on the page after they are resolved.
Cite this result
aidemos.com/benchmarks/pdf-to-markdown-apis/results/nutrient-io/an-ordinary-digital-text-document · 0 pass · 1 fail · coverage 1/1 · graded 2026-10-17

The same record is available as structured data through the AI Demos MCP server, with the counts, the coverage and every per-test-case reason carried as fields.

Verify the proof files

These files support this result. Open a file to inspect the original evidence.

Input · Document (PDF) ↗application/pdf · 103 KB
Output file (Markdown) ↗text/markdown · 19 KB
Proof 1 · Screenshot ↗image/png · 65 KB
Captured file (JSON) ↗application/json · 1 KB
File fingerprints (SHA-256)

A fingerprint identifies the exact file used for this result.

Input · Document (PDF)291669466fefcdd19a890091f82c0fba09f8ddce2882ef5755c52d8abe28ffa1
Output file (Markdown)d88e8dfcd20ac06ce35db37584d603b9b68b39a033dd5b188bf30d272b57e01f
Proof 1 · Screenshot1b9de6daee9e6097d83cf2b9a69636c31cdaf37df35dc5bd64532cb86a3f3428
Captured file (JSON)b23e6f0631fc7554c3e30b3d0c57d55ae5eda0392ccd0539d0534eacdc2e9b22