Quick Keypoints
- Pinpoints the geographic coordinates of images or video frames using raw pixels.
- Identifies vehicles, street features, and scene layouts for verification.
- Analyzes architectural styles, vegetation, and terrain to narrow down target cities.
- Successor to the popular GeoSpy AI platform.
What is Raven?
AI-powered visual intelligence and geolocation platform.
Raven is a professional visual intelligence platform by Graylark Technologies, succeeding the GeoSpy platform. It uses deep learning models to geolocate images and videos without relying on EXIF metadata. It extracts geographical cues from architectural structures, terrain characteristics, and visual details to identify locations.
Who Needs Raven?
Open-source intelligence (OSINT) analysts, security researchers, investigative journalists, and compliance teams.
Primary Use Cases
- Pinpointing the geographic coordinates of images or video frames using raw pixels instead of metadata.
- Identifying vehicles, street features, and scene layouts for investigative verification.
- Analyzing architectural styles, vegetation, and terrain to narrow down target cities.
Important Features
- Pixel Geolocation: Predicts exact or regional coordinates using pure visual information.
- Investigative Focus: Integrates tools for vehicle identification and street-level verification.
- Metadata Independence: Pinpoints locations even when EXIF headers are stripped.
Current Updates About Raven
- In May 2026, GeoSpy rebranded to Raven, transitioning from a public tool to a restricted enterprise visual intelligence system for law enforcement and government agencies.
- Current Version: Raven Visual Intelligence
Alternatives to Raven
If you want to check similar software, these alternative tools offer comparative features:
Pricing Plans
| Plan | Price |
|---|---|
| EnterpriseVisual intelligence and geolocation APIs restricted to qualified law enforcement and government agencies. | Custom |
Editorial Verification
Independent Testing
This review was audited under our 5-Pillar Testing Framework: Output Quality, UI/UX Ease, Pricing Transparency, Feature Depth, and Support.
Read Our Review Methodology →Explore Related Productivity & PM Tools
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