Image search with images_search
images_search searches Google Images for image URLs and structured metadata. It is useful when the agent needs visual references rather than ordinary web pages.
When to use it
Use it for visual research, inspiration gathering, product imagery discovery, identifying visual themes, or locating source pages for images.
Choose web_search for text sources. This tool returns image metadata; it does not download, edit, license, or verify permission to reuse an image.
Quick example
from serpapi_search_tools import images_search
visual_search = images_search()
agent_tools = [visual_search]Inputs the agent can provide
| Field | Type | Required | Meaning |
|---|---|---|---|
query |
string | yes | The subject, object, style, or scene to search for |
The engine is fixed to google_images, so the agent only needs to provide the image query.
Configure the tool
| Constructor option | Default | Use it for |
|---|---|---|
provider |
"auto" |
Detect the installed agent SDK |
default_params |
None |
Fix safe search, locale, or other supported image filters |
mode |
compact |
Return up to five image results; use SearchResultMode.FULL for the untouched response |
api_key |
None |
Override environment key lookup |
timeout |
None |
Set the built-in client timeout |
client |
None |
Provide a custom client for logging, caching, or tests |
include_examples |
True |
Add a sample image query to the description |
name |
"images_search" |
Rename a specialized visual-search tool |
Useful SerpApi parameters
Safe search is a common application-controlled policy:
from serpapi_search_tools import images_search
safe_images = images_search(
default_params={"safe": "active", "hl": "en", "gl": "us"},
name="safe_image_search",
)Google Images supports additional size, color, type, rights, time, and page filters. Use the official reference for accepted values. The package rejects known conflicts such as location with uule, and relative-period filters with explicit start/end dates.
What comes back
Compact mode returns up to five images_results. Items can include title, original image URL, thumbnail, source page, dimensions, source name, and position. Your application should not assume every result contains every optional field.
Common mistakes
- Treating a returned image URL as a reuse license. Check the source and rights.
- Sending both
locationanduule. - Mixing relative-period and explicit date filters.
- Opting into full image responses for a model when compact mode is enough.
Official SerpApi documentation
See the image discovery recipe and the Pydantic AI image example.