example.com
Visual research workflow
1600 × 900 · PNG
Google Images API playground
Search images. Inspect structured JSON.
Live Google Images emulator
US · en
JSON structured data
{
"search_parameters": {
"query": "modern workspace design",
"search_type": "images",
"country": "US",
"language": "en",
"safe_search": "active"
},
"images": [
{
"position": 1,
"image_url": "/olostep-hero.png",
"thumbnail_url": "/olostep-hero.png",
"source_url": "https://example.com/visual-research",
"title": "Visual research workflow",
"domain": "example.com",
"width": 1600,
"height": 900,
"format": "PNG"
},
{
"position": 2,
"image_url": "/maps-general.png",
"thumbnail_url": "/maps-general.png",
"source_url": "https://example.org/data-maps",
"title": "Structured map data",
"domain": "example.org",
"width": 1400,
"height": 900,
"format": "PNG"
},
{
"position": 3,
"image_url": "/blog/images/google_search.png",
"thumbnail_url": "/blog/images/google_search.png",
"source_url": "https://example.net/search-guide",
"title": "Search data guide",
"domain": "example.net",
"width": 1200,
"height": 675,
"format": "PNG"
},
{
"position": 4,
"image_url": "/parsed-screen.png",
"thumbnail_url": "/parsed-screen.png",
"source_url": "https://example.com/structured-results",
"title": "Parsed search results",
"domain": "example.com",
"width": 1280,
"height": 800,
"format": "PNG"
},
{
"position": 5,
"image_url": "/agent-template-og.png",
"thumbnail_url": "/agent-template-og.png",
"source_url": "https://example.org/ai-agents",
"title": "AI agent visual",
"domain": "example.org",
"width": 1200,
"height": 630,
"format": "PNG"
},
{
"position": 6,
"image_url": "/blog/images/AI-stock-analyzer.png",
"thumbnail_url": "/blog/images/AI-stock-analyzer.png",
"source_url": "https://example.net/market-research",
"title": "Market research dashboard",
"domain": "example.net",
"width": 1200,
"height": 675,
"format": "PNG"
}
],
"metadata": {
"result_count": 6,
"generated_for_preview": true
}
}Google Images-style preview with representative sample data. Image licensing and production field availability depend on the source and integration.
Trusted by the best startups in the world
The problem
Image search data is valuable, but hard to collect cleanly
Visually rich, technically messy
Results combine thumbnails, source pages, dimensions, formats, previews, and ranking context.
Scraping breaks easily
Layout changes, failures, captchas, source matching, retries, and parser maintenance consume engineering time.
HTML is not product-ready
Products need image URLs, thumbnails, source pages, titles, dimensions, formats, domains, and positions.
Structured image data
Turn Google image searches into usable fields
Use normalized image results for visual discovery, AI enrichment, SEO research, brand monitoring, marketplace intelligence, and content workflows.
Ranked imagesImage URLsThumbnailsSource pagesTitles and domainsDimensionsFile formatsSafe-search state
Capabilities
Built for visual search and image data workflows
Image result extraction
Fetch ranked image URLs, thumbnails, titles, domains, positions, and source pages.
Source page mapping
Connect each image to its source page for attribution, context, and destination URLs.
Image metadata
Retrieve available width, height, format, thumbnail, and ranking fields.
Image search filters
Use supported size, type, color, safe-search, country, and language settings.
AI-ready discovery
Support visual research, creative workflows, content enrichment, and source discovery.
Scalable access
Run one-off searches, batches, monitoring pipelines, and high-volume integrations.
Use cases
Use image search data across your product stack
AI products
Give agents relevant image sources, thumbnails, and visual context before generating outputs.
SEO and content
Research image visibility, visual competitors, source pages, and content opportunities.
Marketplaces
Find product references, competing listings, visual categories, and market signals.
Brand monitoring
Track how logos, products, and visual assets appear across image search results.
How it works
From image query to structured results
01
Send an image query
Choose a query, country, language, safe-search level, and supported filters.
02
Retrieve and structure
Process the image search and normalize result URLs, metadata, and source context.
03
Use the response
Send results into AI, visual search, SEO, marketplace, database, or reporting workflows.
Developer experience
Simple for one query. Flexible for production.
Use API key authentication and structured JSON without maintaining image-search retrieval, thumbnail extraction, source mapping, and parser infrastructure.
REST APIJSON responsesCountry targetingLanguage targetingSafe-search settingsBatch-ready workflows
Read the docs Request shape
Comparison
Build an image search pipeline or use an API?
Requirement
Build internally
Use the API
Image collection
Build retrieval
Request structured results
Thumbnails
Custom parsing
Structured fields
Source mapping
Maintain matching logic
Included in response
Metadata
Extraction rules
Returned where available
Layout changes
Fix breakages
Normalized output
Developer time
High maintenance
Faster integration
Respect image rights and source terms
Search visibility does not grant usage rights. Verify copyright, licensing, trademarks, attribution, and source terms before downloading, modifying, publishing, or redistributing images.
Power AI with visual search context
Provide reviewed source images, thumbnails, and page context to research assistants, creative workflows, discovery agents, and content-enrichment systems.
Pricing
Google Image Search Results API pricing
Start with 500 free requests, then scale visual-search workflows.
Frequently asked questions
Product & Capabilities
What is a Google Images API?
A Google Images API lets developers submit image-search queries and receive structured results such as image URLs, thumbnails, source pages, titles, domains, dimensions, formats, and positions.
Is this the official Google Images API?
No. This page describes an Olostep workflow for retrieving and structuring Google image-search result data. It is not an official Google product, partnership, or endorsement.
How is this different from the Google Photos API?
Image-search result APIs discover public images from queries. Google Photos APIs work with an authorized user's personal photo library. They serve different purposes.
What fields can the API return?
Typical fields include image URL, thumbnail URL, source-page URL, title, domain, result position, width, height, file format, and query metadata. Exact coverage varies.
Usage & Automation
Can I filter results by size or type?
Where supported, filters may include image size, image type, color, safe search, country, and language.
Can I use this API for AI workflows?
Yes. Structured image results can provide visual references, source pages, thumbnails, and supporting context for research and enrichment.
Can I use it for SEO?
Yes. Common workflows include image visibility tracking, visual SERP research, competitor monitoring, asset discovery, and content opportunity analysis.
Do I need to maintain proxies or parsers?
No. Olostep handles retrieval, extraction, parsing, normalization, and JSON delivery for the configured workflow.
Pricing & Plans
Can I use returned images commercially?
Do not assume image results are licensed for commercial use. Verify copyright, trademarks, licensing, attribution, and source terms before downloading, modifying, publishing, or redistributing images.
How do I start?
Create an API key, run a sample image query, inspect the structured response, and connect it to your product or workflow.
