Evidence · first-party tested/Best AI Tools to Convert Complex PDFs into Clean Markdown with an API

Breaks paragraph-level segmentation in the scanned two-column page, so the extracted text no longer follows the source column order cleanly.

✗ Failed🧾 artifact-verifiedinput + output shownTest date not recordedUpstage AI →
What was measured
Reading Order & Structure

Maintains headings, sections, column order, document hierarchy, and overall flow.

decisive for this rankingtransformation

Clean Markdown requires the original reading order, headings, sections, and hierarchy to be maintained correctly. (3 of 3 judges)

What was given, what came back

Test input: Scanned Research Paper · pdf · group: scanned-research-paper
Input — what we sent
Input file 1 — as supplied
Input file 1 — as supplied
Input file 2 — as supplied
Scanned Research PDF.pdf
Scanned Research Paper

An image-only scanned research paper used to stress OCR and layout recovery in a multi-column academic document with figures, charts, tables, captions, and references.

Why this input is hard
  • · OCR on scanned pages
  • · Multi-column reading order
  • · Figure and chart handling
  • · Table reconstruction from scans
  • · Caption association
  • · Reference extraction
  • · Overall document structure retention
Output — unretouched
image
Provenance
Observation
86f4991b-db92-402b-bd03-7a1f3777691e
Evidence run
6e3160de-fe46-4b45-b071-72560b5c5d0e
Study
Convert a Complex PDF into Clean Markdown with an API
Research task
86b9h7t37
Tested at
not recorded
Source
first-party
Evidence state
verified
Proof shown
input + output shown
Cost / latency
not captured
Repeat run
not captured
Tester
not captured

The last three rows are honest blanks, not placeholders — our capture has no field for them yet.

Query this
get_evidence({
  tool: "upstage-ai",
  scenario: "scanned-research-paper"
})
MCP · mcp.aidemos.com/api/mcp
JSON · ai.aidemos.com/v1/observations/86f4991b-db92-402b-bd03-7a1f3777691e
Free with attribution.
Same input, same check — 8 other tools
measured on Reading Order & Structure
Adobe API✗ FailedDumps the scanned title page as a dense OCR block without section boundaries or other structural cues, so the document hierarchy is lost.Extend AI✓ WorkedReconstructs a multi-column research page so the 'STUDY AREA' heading, its paragraphs, and the following 'STAND PRESCRIPTIONS' section stay in order.Landing AI✓ WorkedReconstructs a dense two-column section with its hierarchy intact, keeping the section heading attached to the correct body text across the columns.LlamaParse✓ WorkedReflows a two-column scanned page into a single coherent reading order while preserving section-to-body flow.Mistral AI✗ FailedThe opening page loses the distinction between the document title and the abstract, flattening the semantic organization of the first page.Nutrient.io✗ FailedMisorders the first page so the abstract is placed before the title, showing a layout-reading-order inversion on the scanned article.Reducto⚠ StruggledDisplaces the byline by a full column: the author line that sits above the two-column split in the source is emitted only after the entire left column, and its footnote markers are rendered inconsistently.Tensorlake✓ WorkedRetains section-level reading order in a scanned multi-column paper, with headings continuing to guide the flow across columns and into the next section.
This evidence is published in
Best AI Tools to Convert Complex PDFs into Clean Markdown with an API →
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com