Make your image library searchable by what's in each photo

Scans every image, tags what it sees, and makes your whole photo library searchable by object, not just filename.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig>"new image submitted"]:::trig s0["scan image for objects"]:::svc s1["filter confidence level"]:::task s2[("store in searchable index")]:::store trig --> s0 s0 --> s1 gx{"× confident enough to keep"}:::gate s1 --> gx p00["keep tags"]:::task gx -->|"confident match"| p00 p10["drop match"]:::task gx -->|"low confidence"| p10 jn{"○ tags finalized"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"searchable tagged image index"/]:::out pay{{"find photos by content not filename"}}:::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 sheetOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
General Automation
Connects
Cloudflare Workers AIElasticsearch

The problem it solves

You have a large library of product or asset photos and no real way to find the one you need except scrolling through folders by filename. Simple searches waste time that adds up fast.

Who it fits

E-commerce teams or businesses managing large product or asset photo libraries.

How it works

  1. A new image is submitted to the automation
  2. AI scans the image and identifies the objects in it
  3. Low-confidence or unclear matches are dropped
  4. The image and its tags are stored in a searchable index
What you get

Product photos found by what's in them

You get a photo library you can search by what's actually shown in each picture.

What you get

A searchable index where any image can be found by describing what's in it.

What you need

A Cloudflare Workers AI account and an Elasticsearch instance.

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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