Reads low-clarity signer and auditor markings, but the stamp OCR is not perfect: 'LLP' is misread as '1LP'.
What was measured
Text & OCR Completeness
Extracts all readable content, including scanned pages, with accurate OCR and minimal omissions.
decisive for this rankingtransformation
If the tool misses readable text or fails on scanned pages, it has not actually converted the PDF faithfully into Markdown. (3 of 3 judges)
What was given, what came back
Test input: Hybrid Earnings Report · pdf · group: hybrid-earnings-report
Input — what we sent


Hybrid Earnings Report
A long, real-world hybrid annual report used to benchmark end-to-end PDF-to-markdown conversion. It combines native text, financial tables, charts/graphics, and scanned signature/stamp regions, stressing preservation of document structure, reading order, and embedded visual content across a multi-section report.
Why this input is hard
- · Native digital text extraction
- · Complex financial table preservation
- · Chart and graphic retention
- · Image-based signatures and stamps
- · Reading order across a long multi-section report
- · Markdown quality and consistency
Output — unretouched



Also checked on this input — same tool, 4 other criteria
Complex Document Handling✓ WorkedProcesses an 84-page hybrid annual report end-to-end across native text, tables, charts, and scan-only signature regions without manual cleanup.Reading Order & Structure✓ WorkedMaintains report hierarchy and reading flow in an 84-page annual report, keeping section text, bullets, and business narrative aligned instead of flattening them.Table Preservation✓ WorkedPreserves a 5-year financial summary table with row labels and year columns aligned, keeping the annual financial grid intact in markdown.Visual Content Retention◐ MixedRetains charts and logos as standalone figure blocks with captions, but they are extracted out of page position rather than embedded inline.
Provenance
- Observation
- dd1db974-fbae-43d1-8a89-bbbd8cf1255d
- 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: "extend-ai",
scenario: "hybrid-earnings-report"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 3 other tools
measured on Text & OCR Completeness
LlamaParse✓ WorkedRecovers a blurred signature stamp as readable text, showing OCR can salvage low-quality scanned text rather than dropping it entirely.Reducto✓ WorkedConverts the full 84-page native-digital annual report with no skipped pages; the output contains all 84 page-marker pairs, and checked high-risk numbers survive exactly, including the $51,550,988,273 market-value figure and 599,982,121 shares outstanding.Tensorlake◐ MixedOn a blurry Ernst & Young signoff, the OCR preserves the firm reference but makes a symbol-level mistake by rendering the ampersand as '+', so the text is close but not exact.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com