The education dates were inferred as 2015–2019 even though the source only provided a graduation date, so the start year was hallucinated.

✗ Failed🧾 artifact-verifiedinput + output shownTest date not recordedCVParserPro
What was measured
Accuracy

Are extracted values correct and complete?

decisive for this rankingtransformation

Correct and complete values are the essence of resume parsing, so this directly determines whether the tool succeeds. (3 of 3 judges)

What was given, what came back

Test input: Multi-column sidebar resume — Priya Sharma · pdf · group: resume-parsing
Input — what we sent
parseur-input2-priya-sharma-multicolumnresume-0e443ffc95c3.pdf
Multi-column sidebar resume — Priya Sharma

A two-column sidebar resume for Priya Sharma, used to test whether parsers can preserve reading order and correctly extract content split across columns.

Why this input is hard
  • · multi-column layout handling
  • · sidebar content extraction
  • · reading-order robustness
  • · projects extraction
  • · languages and certifications extraction
Output — unretouched
image
Provenance
Observation
ff58e3f6-ab05-43a9-ab20-94416b615ce3
Evidence run
cbbef4db-964c-49fa-a57f-a2977822bdfc
Study
Parse resumes into structured data using an API
Research task
86b9jm30n
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: "cvparserpro",
  scenario: "resume-parsing"
})
MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 7 other tools
measured on Accuracy
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com