# 🐕 Identify an animal or a dog breed from a photo

**Use case:** 

Names the species or the breed in your photo, the traits it is recognised by and what it is typically like to live with, one row per question and answer, plus the web results found for the same image. Swap `imageUrls` for your own picture.

## Input

```json
{
  "searchTypes": [
    "ai-mode",
    "all"
  ],
  "imageUrls": [
    {
      "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/7/70/Golden_Retriever_dog_at_MAV-USP.jpg/1280px-Golden_Retriever_dog_at_MAV-USP.jpg"
    }
  ],
  "imageKvsRecords": [],
  "aiModeQuestions": [
    "What animal or breed is shown in this image?",
    "Which visible traits identify it?",
    "What is this breed or species typically like to live with?"
  ],
  "translateLanguage": "en",
  "language": "en"
}
```

## Output

```json
{
  "ai-mode": {
    "label": "Ai mode"
  },
  "searchType": {
    "label": "Row type",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Lens | AI Mode | Reverse image search | Translation+OCR](https://apify.com/borderline/google-lens.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/borderline/google-lens.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/borderline/google-lens.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
