Turn emailed resumes into organized Notion candidate records

Reads incoming resume PDFs, pulls out candidate details with AI, and adds them to your Notion database automatically.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"resume email arrives"]:::trig s0["extract text from resume"]:::svc s1["AI structures candidate fields"]:::task s2[("create candidate record")]:::store trig --> s0 s0 --> s1 s1 --> s2 out[/"structured candidate record in Notion"/]:::out pay{{"saves manual resume data entry"}}:::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

Email AutomationDocument Processing & OCRSpreadsheet & Database OpsHR & Recruiting

Connects

GmailOpenAINotion

The problem it solves

You get resumes emailed in as PDFs and have to open each one, read through it, and manually type candidate details into your tracking system. That copying and pasting adds up fast when you're hiring for more than one role.

Who it fits

HR teams and recruiters who receive candidate resumes by email and track applicants in Notion.

How it works

A new email with a PDF resume attachment arrives in your Gmail inbox
The PDF text is extracted using an OCR service
AI reads the extracted text and structures it into candidate fields like name, experience, and skills
A new entry is added or updated in your Notion candidate database

Quick estimate

What it is worth to you

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

Resumes received per week

per week

Minutes to manually read and enter one resume

minutes

Loaded hourly cost

$ per hour

0Hours freed per month

0Value per year at your hourly cost

Assumes the freed time is redirected to other recruiting work and every resume still requires the same manual entry time today.

What you get

A new or updated candidate record in Notion with structured details pulled straight from the resume.

What you need

A Gmail account, an OpenAI API key, an OCR service account, and a Notion 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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