Evidence · first-party tested/Best AI Tools for Parsing Resumes via API (2026)

Covers the six core fields from a two-column resume, including split-header contact info, work experience, education, and skills.

✓ Worked🧾 artifact-verifiedinput onlyTest date not recordedAirparser →
What was measured
Field coverage

Are name, email, phone, experience, education, and skills extracted?

decisive for this rankingtransformation

A resume parser should extract the key canonical fields; missing them means it is not doing the main job well. (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
Input file 1 — as supplied
Input file 1 — as supplied
Input file 2 — as supplied
Input file 2 — as supplied
Input file 3 — as supplied
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
No output artifact
The verdict rests on the tester's written observation alone — no file was captured for this cell.
Provenance
Observation
8ea09c29-07ce-4fad-b081-4789ec63dd29
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 only
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: "airparser",
  scenario: "resume-parsing"
})
MCP · mcp.aidemos.com/api/mcp
JSON · ai.aidemos.com/v1/observations/8ea09c29-07ce-4fad-b081-4789ec63dd29
Free with attribution.
Same input, same check — 4 other tools
measured on Field coverage
Extracta.ai✓ WorkedCovers the expected resume content from both columns, including work experience, education, skills, certifications, and languages.Hireability✗ FailedSix visible contact fields — GivenName, FamilyName, Email, Phone, LinkedIn, and Address — came back empty on the multi-column resume.LlamaParse✓ WorkedThe multi-column output included the core resume fields and the sidebar-specific sections, including name, email, phone, experience, education, skills, certifications, languages, and projects.Skima AI◐ MixedThe parser extracted the basic identity and work-history fields, but it did not fully return the core six-field resume set because skills from the sidebar were missing.
This evidence is published in
Best AI Tools for Parsing Resumes via API (2026) →
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com