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Graded 5 October 2026

Can Mistral AI process a document with mixed digital and scanned pages?

Mistral AI processed the scanned page in a mixed digital and scanned document rather than skipping it. The page appeared in document order, with tables in the same style as the digital pages.

1 of 1 test case passed

Every test case in this scenario has a result.

Pass rate100%1 of 1 gradable
Coverage1 of 1test case with a result
1PassDid everything it was expected to do.
0FailNo test case failed.
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.

Mixed pages — scanned page not skippedPassEvidence
What we sent
InputDocument (PDF)
Input PDF: a three-page service report with a scanned second page
Open the PDF ↗
What the tool returned
Markdown

# Service worksheet

|  Job reference | KAL-ESR-4471  |
| --- | --- |

Markdown output: the service report, including the scanned page

Copied from Output file (Markdown), lines 36–40

Open the Markdown file ↗
Markdown
|  Engineer | R. Tarbert  |
|  Date | 29 January 2026  |

# CHECKS AND READINGS

|  Flow cell condition on arrival | Fouled, inner face  |
| --- | --- |
|  Flow cell pressure after service | 2.4 bar  |
|  Zero drift over 30 minutes | 0.003 mg/l  |
|  Span recovery against standard | 99.4 per cent  |
|  Lamp hours at service | 8,140  |
|  Result | Pass  |

# Calibration certificate SR-4471/2

Analyser left in service on channel 2. Optical window to be inspected at the next visit.

# TIME ON SITE

|  Arrived | 29 January 2026, 09:15  |
| --- | --- |
|  Left | 29 January 2026, 13:40  |
|  Chargeable time | 4 hours 25 minutes  |
|  Next service due | January 2027  |

# RECEIVED BY

|  Name | M. Cairney  |
| --- | --- |
|  Position | Duty operator, Vardenne Quay  |
|  Date | 29 January 2026  |

Copied from Output file (Markdown), lines 42–72

Expected vs. Found
✓Expected: The scanned page’s text appears in the output like the digital pages’ text, rather than being silently skipped.Found: The scanned page appeared in order, with its text and tables rendered like the digital pages. The engineer’s signature remained an image reference.
Supporting proof
Proof 1Screenshot
Run card: the document sent, processing settings and result
Open original ↗
Why this result

The scanned page had to appear alongside the digital pages. It was not skipped, and its tables used the same style. The source PDF is available, and the run card identifies it as the document sent, allowing the output to be compared with the source.

Also observed in this test case

Heading-level drift. In the output, the scanned page’s checks and readings, time on site, and received by labels become level-1 headings, one level higher than page 1’s section headings.

Plain job reference. In the output, the scanned page’s job reference is plain text, while page 1’s is bold.

Ungraded first page. On page 1, where the source has a horizontal rule followed by the CLIENT label, the output emits a mangled heading ("# ---**CLIENT**"). Page 1 is not graded, so this does not affect the result.

Tested by Chandresh Bisht · evidence dated 10 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
Mistral AI
Build or version
mistral-ocr-latest (model id echoed by the API; dated version not exposed)
Plan or tier
Mistral La Plateforme (metered OCR endpoint)
Surface
API
Set up before the run
The document had to be a digital PDF containing one scanned image-only page. The complete PDF was sent for Markdown conversion in one pass using the default pipeline, without per-tool flag tuning.
Pipeline
Document AI default OCR pipeline, single pass, no flag tuning.
Tested
10 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

What has happened to this result since it was first published. Runs and grades are never overwritten: a retest or a re-grade publishes a new result and keeps the earlier one readable.

from the publication record
6 October 2026First publishedConverting a complex PDF into clean Markdown with a hosted API v1
11 November 2026Updated — the page was revised
The result is unchanged: 1 pass · 0 fail. The earlier result stays readable. Read the earlier result →

Act on this result

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This matches what I see

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Point out an issue

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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/mistral-ai/a-document-mixing-digital-and-scanned-pages · 1 pass · 0 fail · coverage 1/1 · graded 2026-10-05

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 · 356 KB
Output file (Markdown) ↗text/markdown; charset=utf-8 · 3 KB
Proof 1 · Screenshot ↗image/png · 93 KB
File fingerprints (SHA-256)

A fingerprint identifies the exact file used for this result.

Input · Document (PDF)096951b8eaf09740a926620943c7eb9b076e80144d76e7a90fb7f77056b6ef83
Output file (Markdown)c3c28912ed7ca6c182ea98e1c5dbe90f2b85cd96960b3bfa8d02fda1c5081bb9
Proof 1 · Screenshot23df9b66379125f7d61696f26e909b1ba30112b1e32dc8f30cac2419e0feae49