Image Search

Search museum archives and stock photo libraries with AI-targeted queries that curate the best results from five sources.

0.5

Topic

Number of Images

Still needed: Topic

Best for

•Art, museum pieces, historical paintings and illustrations
•Academic and cultural heritage images
•Public domain and Creative Commons content
•High-quality photos for image-motion input

Tips

✓Use specific visual terms: 'aerial city skyline sunset' not 'city'
✓Great for historical content, museum archives have unique content
✓Always pair results with image-motion to convert still images into video segments
✓Deduplicate URLs when running multiple searches

Image Search API

Call this pipeline from your own code. One request dispatches a run; the model is an input field, not a separate endpoint.

2 inputs

1 required

0.5 credits

TypeScript Python Go CLI

bun add @pipe2-ai/sdk

import { createClient } from "@pipe2-ai/sdk";

const client = createClient(process.env.PIPE2_TOKEN!);

const { run_pipeline } = await client.RunPipeline({
  pipeline_slug: "image-search",
  input: {
    topic: "minimalist workspace with warm morning light",
  },
});

pip install pipe2

import asyncio
import os

from pipe2 import Pipe2Client

client = Pipe2Client(token=os.environ["PIPE2_TOKEN"])

run = asyncio.run(client.run_pipeline(
    pipeline_slug="image-search",
    input={
        "topic": "minimalist workspace with warm morning light",
    },
))

go get github.com/pipe2-ai/sdk-go

client := pipe2.NewClient(os.Getenv("PIPE2_TOKEN"))

input := json.RawMessage(`{
  "topic": "minimalist workspace with warm morning light"
}`)

run, err := pipe2.RunPipeline(context.Background(), client, "image-search", input)
if err != nil {
    log.Fatal(err)
}

brew install pipe2-ai/tap/pipe2

pipe2 pipelines run \
  --pipeline image-search \
  --input-json '{"topic": "minimalist workspace with warm morning light"}' \
  --wait

Get an API token →

Parameters

topic required: Describe what images you need

string
image_count: How many images to return.

10203050 default 20

Use it from an AI agent

Point any MCP client at pipe2 and your agent gets these tools. It finds this pipeline, reads the same schema above, then runs it.

list_pipelines
get_pipeline_schema
run_pipeline
get_pipeline_run_status
request_upload

https://mcp.pipe2.ai/mcp

{
  "mcpServers": {
    "pipe2ai": {
      "url": "https://mcp.pipe2.ai/mcp",
      "headers": { "Authorization": "Bearer YOUR_TOKEN" }
    }
  }
}

Full API reference MCP setup CLI reference

Frequently Asked Questions

How many images can I search for?

Choose 10, 20, 30, or 50. AI generates targeted queries for different angles, deduplicates the results, and returns up to your chosen count.

Are these images free to use?

Most results are public domain or Creative Commons licensed. Check the source and license for each image.

How does the AI decide what to search?

AI analyzes your topic and generates 3-5 targeted search queries, each targeting a different angle. This finds more diverse results than a single search.

Are images saved to my library?

No, results link directly to the original source. This keeps your library clean and avoids re-hosting.

How many credits does it cost?

0.5 credits per search.

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