Geo Sleuth

Geo Sleuth is an agent skill that finds where a photo was taken and outputs the camera position and a satellite evidence image.

Geo Sleuth is an agent skill that finds the precise location where a photograph was taken without relying on text, plates, or landmarks. It works by combining open-source geographic data, elevation profiles, satellite tiles, and street views with automated Python scripts. Single-purpose scripts search, score, and sort candidate locations, while the model judges the top results. It supports various agents that read SKILL.md and run shell commands, including Claude Code, Codex, Cursor, Gemini CLI, OpenCode, and GitHub Copilot. The output includes coordinates with an error radius, camera heading, graded confidence, and an evidence image. It is designed for researchers and investigators who need to verify photo locations through rigorous geometric analysis rather than guesswork.

Geo Sleuth at a glance

Best for: Software engineer, Researcher
Runs on: CLI, self-hosted, open source
Pricing: Free
Released: September 2026
Category: AI research tool
Website: github.com/oldcircle/geo-sleuth

Key features

Finds camera position from a single photo
Uses OpenStreetMap geometry and elevation data
Calculates pier spacing and ridge lines
Generates satellite evidence images
Provides coordinates with error radius and heading
Runs standard Python scripts via agent skills
Handles camera roll and slope corrections

Use it for

Locate photos with missing or stripped EXIF data
Verify geographic claims in visual media
Reconstruct camera positions from landscapes
Analyze remote locations using terrain data

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