Analyze Image: OpenAI action

Inputs

The fields this action accepts.

Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.

Field	Type	Required	Description
Model model	options	Required	Model. Options: GPT-4o, GPT-4o Mini
Image URL image_url	string	Required	Image URL. e.g. "https://example.com/image.jpg"
Prompt prompt	string	Required	Prompt
Max Tokens max_tokens	string	Optional	Max Tokens

Sample request

{
  "model": "{{trigger.model}}",
  "image_url": "https://example.com/image.jpg",
  "prompt": "{{trigger.prompt}}",
  "max_tokens": "{{trigger.max_tokens}}"
}

Returns

{
  "id": "chatcmpl-abc",
  "choices": [
    {
      "message": {
        "content": "The image shows..."
      }
    }
  ]
}

Use these fields in downstream nodes for routing, logging, or error handling.

FAQ

Questions about Analyze Image.

What does the Analyze Image action do in OpenAI?

Analyzes an image using GPT-4o vision, accepting a URL or base64-encoded image plus a text prompt. Use for OCR, chart extraction, alt-text generation, or visual QA.

What inputs does Analyze Image require?

Required: Model, Image URL, Prompt. Every input accepts a static value or a variable from any upstream node in your workflow.

Can I use dynamic inputs from earlier workflow nodes?

Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.

What happens if OpenAI returns an error?

The workflow pauses on the failed node, the error message is captured in the run log, and you can retry the run with one click. Auto-retry policies are configurable per workflow with exponential backoff up to 5 attempts.

Does Analyze Image support batch operations?

Yes. Run Analyze Image inside a Loop node to process arrays. Tiny Command handles OpenAI's rate limits automatically so you don't have to throttle manually.

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