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

Flattens major headings on the report title/abstract page, reducing structural clarity in the opening pages.

✗ Failed🧾 artifact-verifiedinput + output shownTest date not recordedLanding 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: Financial Report - Table Heavy · pdf · group: financial-report-table-heavy
Input — what we sent
Input file 1 — as supplied
Input file 1 — as supplied
Input file 2 — as supplied
doc.pdf
Financial Report - Table Heavy

A table-heavy corporate financial report used to test extraction of dense, hierarchical financial statements with grouped columns, multi-row headers, segment-reporting tables, and narrative disclosures.

Why this input is hard
  • · Multi-page financial statement extraction
  • · Hierarchical table reconstruction
  • · Grouped columns and multi-row headers
  • · Reading order in a report with mixed narrative and tables
  • · Document structure retention
  • · Markdown usability
Output — unretouched
image
Provenance
Observation
b9c70af6-5ade-4248-96e3-f6a02e23da6f
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: "landing-ai",
  scenario: "financial-report-table-heavy"
})
MCP · mcp.aidemos.com/api/mcp
JSON · ai.aidemos.com/v1/observations/b9c70af6-5ade-4248-96e3-f6a02e23da6f
Free with attribution.
Same input, same check — 8 other tools
measured on Reading Order & Structure
Adobe API✓ WorkedKeeps the major section hierarchy intact in narrative pages, including the operating-performance heading and the follow-on segment discussion in sequence.Extend AI✓ WorkedKeeps section hierarchy and narrative flow intact in the table-heavy quarterly financial report, preserving headings and explanatory notes instead of collapsing them into one text block.LlamaParse✓ WorkedPreserves the document title, disclaimer, and section headings in a readable hierarchy for the Sumitomo Heavy Industries financial report.Mistral AI✗ FailedThe table of contents is flattened into raw text, so the original navigational hierarchy is not preserved.Nutrient.io⚠ StruggledDoes not consistently preserve paragraph boundaries, so narrative flow fragments across sections instead of staying in the source order.Reducto✗ FailedProvides zero markdown heading markup across all 18 pages; the Roman-numeral sections and numbered subsections are flattened into plain text despite the source’s visible section hierarchy.Tensorlake✓ WorkedKeeps section ordering and narrative flow in an 18-page table-heavy financial report, preserving the operating-performance section before the tabular disclosures.Upstage AI✗ FailedFlattens the Summary of Operating Performance page so the section heading is no longer visually or structurally distinguished from the running text.
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