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GeoSpy.ai

Analyzes satellite imagery and spatial data to predict geolocation using AI-driven pixel analysis.

228KMonthly visits
39Popularity
GeoSpy.ai featured image

About GeoSpy.ai

GeoSpy.ai leverages AI to perform fast image geolocation by examining pixel data and identifying geographic features such as architecture and soil patterns. The tool is trained on millions of images to deliver accurate global geolocation predictions. Users can integrate the GeoSpy API into Python, Java, or other programming environments to obtain location predictions programmatically. The service offers a free tier for up to 20 images, a scale plan for higher-volume needs, and an enterprise option with custom solutions. Developers receive access to documentation and support, while businesses benefit from advanced features and priority assistance. The API is designed for developers seeking to automate geolocation tasks or enhance applications with spatial intelligence.

Key features

  • AI-powered geolocation from satellite imagery
  • Identifies geographic features like architecture and soil patterns
  • Trained on millions of images for global accuracy
  • API integration for Python, Java, and other environments
  • Free tier for up to 20 images
  • Scale and enterprise pricing plans available
  • Developer documentation and support provided
  • Priority assistance for business users

Use cases

  • Automating geolocation tasks in applications
  • Enhancing spatial intelligence in software
  • Batch processing satellite imagery for location prediction

Pros

  • Performs image geolocation without relying on metadata or obvious landmarks
  • Provides ranked candidate locations for human review rather than a single verdict
  • Supports multiple investigative capabilities from a single image or video frame
  • Designed for law enforcement, government, and public-safety organizations
  • Offers street-level and meter-level targeting for precise location identification

Cons

  • Access is restricted to qualified organizations such as law enforcement and government entities
  • Requires human review of ranked candidates for final assessment
  • No metadata or EXIF data is used, which may limit accuracy in some cases

Frequently asked questions about GeoSpy.ai

What is the official GeoSpy website?

GeoSpy was created and operated by Graylark Technologies. GeoSpy.ai now directs users to Graylark.com/geospy, the official page explaining GeoSpy’s evolution into Raven.

Is GeoSpy now called Raven?

Yes. GeoSpy became Raven in April 2026 as the platform expanded beyond regional image geolocation into broader visual intelligence and investigative capabilities.

Who created GeoSpy?

GeoSpy was created by Graylark Technologies. Raven is developed by the same Graylark team.

Is the original GeoSpy AI still available?

The visual-geolocation capabilities associated with GeoSpy continue inside Raven. Raven is available to qualified law-enforcement, government, public-safety, intelligence, and enterprise organizations.

Does Raven still perform image geolocation?

Yes. Image geolocation remains a core Raven capability, alongside street targeting, vehicle identification, image verification, and case-oriented workflows.

Where can existing GeoSpy users sign in?

Existing users can access their workspace through the Raven sign-in page.

GeoSpy.ai traffic & engagement

geospy.ai · third-party estimates from Similarweb

Data as of Sep 2026Full AI website ranking →
Monthly visits · Sep 2026228K-20.3% MoM12-month high 469K (Jun 2026)
Rank among AI websites#1,261▼ 165 vs last monthof 8,652 tools on aitoolnavio™
Rank in Business & Marketing#149of 1,423 tools in this category
Top marketUnited States15.3%Top 5 countries bring 45% of visits
Average visit21sTime on site per visit
Pages per visit1.62Average pages viewed
Bounce rate51%Leave after one page · lower is better
Similarweb global rank#219,579#82,376 in Brazil

Traffic trend

Last 4 months · grows by one month every month

  • Jun 2026469K
  • Jul 2026378K−19.4%
  • Aug 2026285K−24.6%
  • Sep 2026228K−20.3%

Where visitors come from

Share of visits by channel

  • Search57.9%
  • Direct35.3%
  • Referrals3.7%
  • Social0.8%
  • Mail0.1%

No measurable traffic from Paid Referrals.

Top countries

Share of visits · estimated visits

  • United States35K15.3%
  • Brazil30K13.2%
  • Russia18K7.8%
  • Italy11K4.8%
  • India9.1K4%

Other countries: 54.9%

Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.

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