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Geo Image Locator

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from $0.05 / result

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Geo Image Locator

Geo Image Locator

AI-powered image geolocation expert. Analyzes images and predicts the most likely geographic location using visual clues such as architecture, vegetation, road markings, language/text on signs, terrain, landscape, and cultural indicators.

Pricing

from $0.05 / result

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0.0

(0)

Developer

Aadhithya

Aadhithya

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

2

Monthly active users

13 days ago

Last modified

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AI-powered image geolocation expert that analyzes images and predicts the most likely geographic location using visual clues.

Features

  • Visual Analysis: Examines architecture, vegetation, road markings, language/text on signs, terrain, landscape, and cultural indicators
  • High Accuracy: Uses OpenAI's GPT-4o model for superior image understanding
  • Structured Output: Returns country, state/region, city/area, coordinates, confidence score, and reasoning
  • Batch Processing: Analyze multiple images in a single run
  • Error Handling: Gracefully handles failed image analyses

Input

FieldTypeRequiredDescription
imageUrlsarrayYesList of image URLs to analyze

Note: No API key required! The actor uses a pre-configured OpenAI API key via environment variables.

Output

For each image, the Actor returns:

FieldTypeDescription
image_urlstringURL of the analyzed image
countrystringPredicted country name
statestringPredicted state or region
citystringPredicted city or area
latitudestringPredicted latitude coordinate
longitudestringPredicted longitude coordinate
confidencestringConfidence level (0-100)
reasoningstringExplanation of visual clues used

Example Usage

Input

{
"imageUrls": [
"https://example.com/street-view.jpg",
"https://example.com/landmark.jpg"
]
}

Output

[
{
"image_url": "https://example.com/street-view.jpg",
"country": "Japan",
"state": "Tokyo",
"city": "Shibuya",
"latitude": "35.6595",
"longitude": "139.7004",
"confidence": "92",
"reasoning": "Japanese street signs, architectural style, pedestrian crossing patterns, and commercial signage indicate Shibuya district in Tokyo."
}
]

Visual Clues Analyzed

The AI considers the following indicators when predicting location:

  • Architecture: Building styles, roof designs, construction materials
  • Vegetation: Types of trees, plants, climate indicators
  • Road Markings: Traffic signs, road patterns, driving side
  • Language/Text: Street signs, storefronts, license plates
  • Terrain: Mountains, plains, coastal features
  • Landscape: Urban vs rural, infrastructure style
  • Cultural Indicators: Clothing, vehicles, flags, religious symbols

Pricing

This Actor uses OpenAI's GPT-4o model. The API key is pre-configured by the actor owner, so users can run it without needing their own OpenAI account. Costs are covered by the actor owner.

Technical Details

  • Model: GPT-4o (OpenAI)
  • Framework: Apify Actor (Node.js)
  • Response Format: JSON

Support

For issues or questions, please visit the Apify Actor page.