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

The multilevel segment table is preserved with its hierarchical headers intact, maintaining the relationships between the grouped columns and their values.

✓ Worked🧾 artifact-verifiedinput + output shownTest date not recordedMistral AI →
What was measured
Table Preservation

Preserves complex table structures, including rows, columns, multi-row headers, and merged-cell relationships in markdown.

decisive for this rankingtransformation

Accurate Markdown conversion of complex PDFs depends on keeping table structure intact, not flattening it into plain text. (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
Output 1
Output 1
Output 2
Output 2
Provenance
Observation
fa59d041-14d6-4e87-b31a-efb38ba1ca3d
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: "mistral-ai",
  scenario: "financial-report-table-heavy"
})
MCP · mcp.aidemos.com/api/mcp
JSON · ai.aidemos.com/v1/observations/fa59d041-14d6-4e87-b31a-efb38ba1ca3d
Free with attribution.
Same input, same check — 8 other tools
measured on Table Preservation
Adobe API✓ WorkedPreserves a grouped multi-level segment table with previous/current quarter amounts and year-over-year change columns, keeping the segment rows and totals aligned.Extend AI✓ WorkedPreserves grouped-column structure in the financial tables, including the multilevel segment matrix and the balance-sheet comparison layout.Landing AI◐ MixedRecovers the numeric values from a complex table but merges nested header levels into a single cell, weakening the semantic relationships of the table structure.LlamaParse✓ WorkedPreserves a multi-level segment-results table with grouped headers and year-over-year columns, keeping the hierarchy legible in the extracted output.Nutrient.io✗ FailedLoses multi-level header organization in hierarchical tables, so parent-child column relationships are not reconstructed in the markdown output.Reducto✗ FailedBreaks a 5-column business-results table by duplicating the 2025 header and merging the 2024 value and percent change into one cell; the Net sales row ends up with 254,811 and 2.6 smashed together.Tensorlake✓ WorkedReconstructs a multilevel segment-results table with grouped previous/present quarter headers, year-over-year change columns, six segment rows, and a total row.Upstage AI✗ FailedMisaligns column headers with data regions in dense financial tables, producing a structurally inconsistent balance-sheet extraction rather than a clean header-to-row mapping.
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