Evidence · first-party tested
Extracts the messy resume’s values, but leaves some formatting inconsistent: one education percentage stays as raw text ('72 percent marks') while the other entries use different percent formats, and certifications remain lowercase exactly as written.
A poorly structured PDF resume for candidate John Kumar with inconsistent date formats, minimal section labeling, comma-separated skills, and mixed-in hobbies/references. It is designed to stress noisy-input robustness.


The observation
Extracts the messy resume’s values, but leaves some formatting inconsistent: one education percentage stays as raw text ('72 percent marks') while the other entries use different percent formats, and certifications remain lowercase exactly as written.
Criterion: Accuracy · Scenario: Messy real-world resume — John Kumar (group: resume-parsing-benchmark)
Query this
get_evidence({
tool: "extracta-ai",
scenario: "resume-parsing-benchmark"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Free with attribution.
Same input, other tools
Real outputs, no retouching · every cell queryable via API & MCP · aidemos.com