Auto-tag marketing images with AI-generated metadata

Scans new images in Google Drive and uses AI to generate descriptive tags, saved to a spreadsheet automatically.

How the work actually flows

A straight line. Runs once per one per new image.

Pattern: Sequence (1) ยท Multiple Instances without Synchronization (12)

flowchart TD trig(("you start the check")):::human s0["find new images"]:::task s1["skip already tagged images"]:::task s2[["AI tags each image"]]:::mi s3["log tags and alert Slack"]:::task trig --> s0 s0 --> s1 s1 -->|"one per one per new image"| s2 s2 --> s3 out[/"searchable tagged image library"/]:::out pay{{"find the right image faster"}}:::pay s3 --> 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
A stepRuns once per itemA personResultPayoff
Build size
Advanced

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

Business functions
SEO & Search OptimizationMessaging & NotificationsSpreadsheet & Database OpsFile & Cloud Storage
Connects
Google DriveGoogle SheetsSlackOpenAI

The problem it solves

Labeling marketing photos with useful descriptions, tone, and keywords for search is tedious work that usually gets skipped. Without it, finding the right image later means scrolling through folders hoping you recognize the thumbnail.

Who it fits

Marketing teams managing a large library of campaign or brand images.

How it works

  1. You start the check for new images
  2. The system finds new image files in a Google Drive folder
  3. It checks your spreadsheet to skip images already tagged
  4. AI analyzes each new image for scene, tone, and keywords
  5. The results are added to your spreadsheet and a Slack alert confirms it's done
What you get

Images tagged and ready to search

You get every new marketing image tagged automatically with scene, tone, and keyword details added straight to your spreadsheet.

What you get

A spreadsheet of rich, searchable metadata for every marketing image, plus a completion alert.

What you need

A Google Drive account, a Google Sheets account, a Slack account, and an OpenAI API key.

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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