ActionOpenAIUpdated September 2026
How do I send an image to GPT-4o for analysis?
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.
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.
Triggered by
Apps that pair well as the trigger for Analyze Image.
Any of these apps can fire this action as part of a workflow.
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 run history shows the failed step with its input and the error message OpenAI returned, so you can fix the input and run the workflow again. Automatic retries are built into HTTP steps only, where you can also set your own retry count and delay.
Does Analyze Image support batch operations?
Run Analyze Image inside a loop to process each item in an array. TinyCommand does not throttle calls for you, so for large arrays add a Delay step if you need to stay within OpenAI's rate limits.
More actions
Other OpenAI actions.
Action
Chat Completion
Sends a message and gets a response from an OpenAI chat model (gpt-4o, gpt-4o-mini, o-series, etc.). The standard chat-completion action; supports system prompts, temperature, and stop sequences.
ActionChat with Tools
Chat completion with tool/function calling enabled. The model may return tool_calls instead of (or in addition to) text; you execute them and feed results back as tool messages for the next turn.
ActionCreate Batch
Submits a batch of OpenAI requests at a 50% cost discount with a 24-hour SLA. Requires an uploaded JSONL file id with one request per line. Perfect for bulk classification or embedding jobs.
ActionCreate Embedding
Generates vector embeddings for text using text-embedding-3-small or text-embedding-3-large. The de-facto embeddings default for RAG and semantic search.
ActionCreate Image (DALL-E)
Generates images from a text prompt using DALL-E (or gpt-image-1). Supports size, quality, and style controls; returns a URL or base64-encoded image.
ActionCreate Response
Creates a model response using OpenAI's Responses API, the unified endpoint that supersedes chat-completions for new use cases. Supports tools, vision, structured output, and file inputs in a single call.