Automatically extract candidate details from resumes with AI

Reads uploaded resumes and pulls out name, contact info, skills, and education into structured data.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"resume uploaded"]:::trig s0["extract raw text from resume"]:::task s1["ai extracts candidate details"]:::svc s2[("save structured record")]:::store trig --> s0 s0 --> s1 s1 --> s2 out[/"structured candidate record created"/]:::out pay{{"faster consistent resume screening"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsDocument Processing & OCRSpreadsheet & Database OpsHR & RecruitingEducation & Training
Connects
OpenAIGoogle Sheets

The problem it solves

Reading through every resume to pull out names, skills, and education by hand is slow, especially with a high volume of applicants. Important details get missed or entered inconsistently.

Who it fits

HR teams, recruiters, or hiring platforms handling a steady stream of resumes.

How it works

  1. A resume is uploaded in any common format
  2. The system extracts the raw text from the file
  3. AI reads the text and pulls out name, email, skills, and education
  4. The structured details are ready to save into your systems
Quick estimate

What it is worth to you

Your numbers, your hourly cost. We add nothing hidden.

per week
minutes
$ per hour
0Hours freed per month
0Value per year at your hourly cost

Covers only the data-entry step of extracting fields, not the judgment work of evaluating candidates, and assumes freed hours go to other work.

What you get

A structured record of candidate details pulled straight from their resume.

What you need

An OpenAI account and, optionally, a Google Sheets account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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