# Image Analysis API

> Image Analysis API on Apizie: 1 endpoint (Performs a single Image Analysis operation) returned as clean JSON through one API key. Send your own provider key in the x-upstream-key header. Call it over REST at https://apizie.tech/v1/cloud:azure-ai-image-analysis/{endpoint} or from Claude, ChatGPT and Cursor through the Apizie MCP server. Free plan: 1,000 requests a month.

- Project key: `cloud:azure-ai-image-analysis`
- Category: Cloud
- Status: byok
- Source: https://learn.microsoft.com/rest/api/azure/
- Page: https://apizie.tech/api/cloud/azure-ai-image-analysis
- OpenAPI: https://apizie.tech/api/cloud/azure-ai-image-analysis/openapi.json



## Endpoints

### Performs a single Image Analysis operation
`POST https://apizie.tech/v1/cloud:azure-ai-image-analysis/analyze-from-image-data` (byok)

| Parameter | Type | Required | Description |
|---|---|---|---|
| endpoint | string | yes | Azure AI Computer Vision endpoint (protocol and hostname, for example: https:// .cognitiveservices.azure.com). |
| api-version | string | no | The API version to use for this operation. |
| features | array | yes | A list of visual features to analyze. Seven visual features are supported: Caption, DenseCaptions, Read (OCR), Tags, Objects, SmartCrops,… |
| language | string | no | The desired language for result generation (a two-letter language code). If this option is not specified, the default value 'en' is used… |
| gender-neutral-caption | boolean | no | Boolean flag for enabling gender-neutral captioning for Caption and Dense Captions features. By default captions may contain gender terms… |
| smartcrops-aspect-ratios | array | no | A list of aspect ratios to use for smart cropping. Aspect ratios are calculated by dividing the target crop width in pixels by the height… |
| model-version | string | no | The version of cloud AI-model used for analysis. The format is the following: 'latest' (default value) or 'YYYY-MM-DD' or… |
| body | object | yes | JSON request body |

## Example
```
curl "https://apizie.tech/v1/cloud:azure-ai-image-analysis/analyze-from-image-data" \
  -H "x-api-key: $APIZIE_KEY" \
  -H "x-upstream-key: $PROVIDER_KEY"
```

## FAQ

### How do I call the Image Analysis API?
Create a free Apizie key, then send POST https://apizie.tech/v1/cloud:azure-ai-image-analysis/analyze-from-image-data with the header x-api-key. Every endpoint returns { project, data, timestamp }.

### Is the Image Analysis API free on Apizie?
Yes. The Free plan includes 1,000 requests a month at 100 requests a minute, no credit card. Image Analysis itself also needs your own key from azure.com.

### Can AI agents use the Image Analysis API?
Yes. Add the Apizie MCP server (https://apizie.tech/mcp) to Claude, ChatGPT, Cursor or VS Code, then ask in plain language. The agent calls run_scraper with project key cloud:azure-ai-image-analysis.

### What is the status of the Image Analysis API?
Needs your own provider key (bring your own key)