Can Extend AI read a cleanly scanned document accurately?
Extend AI accurately recovered text from a cleanly scanned, image-only document. The one-page laboratory certificate was reproduced in Markdown with the letterhead, reference, date, six result rows, closing text, sign-off, and footer matching the page render. The results block also came back as a two-column HTML table with each label beside its value.
1 of 1 test case passed
Every test case in this scenario has a result.
The test case
Each test case is judged on its own: Pass, Fail, Not gradable, or Untested. The scenario result above counts this row.
Clean scan — text recoveredPassEvidence
Kirkhollow Analytical Laboratories Ltd Braithe Road, Vardenne BR7 2HD 01632 960118 · reception@kirkhollow-labs.example Ms R. Sandiman Braithe Estuary Partnership Estuary House, Vardenne Quay Braithe BR3 4LN Our reference: KAL-11938/26 Date of report: 4 February 2026 ### Certificate of analysis Dear Ms Sandiman Thank you for the four water samples delivered to this laboratory on 28 January 2026. They were booked in as batch KAL-11938 and analysed by the methods shown. The results below relate only to the samples as received. <table> <tbody> <tr> <td>Sampling point</td> <td>Vardenne Channel, station VQ1</td> </tr> <tr> <td>Date and time of sampling</td> <td>27 January 2026, 09:40</td> </tr> <tr> <td>Total suspended solids</td> <td>41.6 mg/l (method KAL-M04)</td> </tr> <tr> <td>Chloride</td> <td>18,200 mg/l (method KAL-M11)</td> </tr> <tr> <td>Ammoniacal nitrogen</td> <td>0.42 mg/l (method KAL-M12)</td> </tr> <tr> <td>Dissolved organic carbon</td> <td>5.9 mg/l (method KAL-M22)</td> </tr> </tbody> </table> The suspended solids figure is higher than those reported for this station in December and January, which were both below 30 mg/l. The samples were taken on the ebb, two days after the last placement at Kellow Sands, and the result is consistent with that. The remaining samples will be held until 4 March 2026 and destroyed after that date unless you ask us to keep them. Yours sincerely Dr A. J. Prosser Laboratory Manager Registered in England 2214887 · Results relate only to the samples as received
Copied from Proof 1 · Output file (Markdown), lines 1–54
Open the Markdown file ↗Its contents are printed above, under What the tool returned.
Open the Markdown file ↗These are scenario-level criteria. Each test case's Expected and Found are listed separately.
- Whether the visible text from the scanned page is recovered accurately.
- Whether the page is not silently skipped or treated as empty because no text layer exists.
- Whether the output stays faithful to the visible content without inventing text.
- Whether scanned pages are handled as real input, not hidden by omission.
| ✓ | Found: All visible text was recovered accurately from the image-only page. |
The output reproduces the page’s visible text in order, including the letterhead, reference, six results rows, closing text, sign-off, and footer. The handwritten signature is not transcribed.
Two-column results table. The results block is returned as a two-column HTML table. Each label appears beside its value.
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.
How this scenario is graded
How we decide Pass, Fail and Not gradable. The same rules apply to every tool tested on this scenario.
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.
- 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 row says which 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 row says what's missing.
Other tools on this scenario
How the 13 tools in this benchmark did on this scenario. A tool with a published result links to it.
Extend AI on the other scenarios
12 scenarios in this benchmark. A scenario with a published result links to it.
Where this sits in the benchmark
This page is one cell of a larger study: one tool, one scenario. Only this benchmark's frame appears here.
| Level | Name | Scope |
|---|---|---|
| Benchmark | Converting a complex PDF into clean Markdown with a hosted API | 12 scenarios · 13 tools |
| Capability | Scanned Document OCR | |
| Scenario | A cleanly scanned document | |
| Tool | Extend AI |
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You run the same kind of test against your own setup and get the same behaviour.
Agree →Yours behaves differently. Tell us what you got, with a screenshot if you have one.
Disagree →Something here is wrong — a reference value, a transcription, a grade.
Report an issue →Tell us what changed and we schedule a rerun of the failing test case. The old result stays as history.
Vendor notice →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.
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File fingerprints (SHA-256)
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