Short answer: You can analyze image in OpenAI by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the OpenAI Analyze Image action to a workflow, map its 4 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.
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 |
{"model": "{{trigger.model}}","image_url": "https://example.com/image.jpg","prompt": "{{trigger.prompt}}","max_tokens": "{{trigger.max_tokens}}"}
{"id": "chatcmpl-abc","choices": [{"message": {"content": "The image shows..."}}]}
Use these fields in downstream nodes for routing, logging, or error handling.
Any of these apps can fire this action as part of a workflow.