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SPOT

Tool Description: AI-powered geolocation tool to help identify where an image was taken by analysing visual elements including landmarks, terrain, architecture, and environmental clues.

SPOT

Quick Overview

What it does

Uses AI to analyse images and suggest possible geographic locations based on visual features

How to use it

Type in your search query or search for a place/coordinates, then review the suggested locations.

Cost

Partially Free.

Account required

Yes.

Cookies

Minimal for authentication and session management.

Ownership

Owned and developed by DW Innovation, based in Bonn, Germany.

Use in Reporting

To support geolocation findings.

What does SPOT do?

SPOT helps users geolocate images by using artificial intelligence to analyse visual clues. It can suggest likely locations, highlight similarities to known places, and provide a starting point for deeper OSINT investigation. It’s particularly useful when dealing with unfamiliar environments or large volumes of images.

The lowdown: It excels at speeding up the early stages of analysis but must be used alongside traditional OSINT methods to produce reliable, defensible findings.

How to Use:

1. Type in your search query (the more visual clues you have the better) or search for a place/coordinates.

2. Review suggested locations and cross-check findings with other tools (e.g. maps, satellite imagery).

You can zoom into the map and click on the highlighted circles as below:

You can also view this tutorial here.

Cost

Free for basic use. Paid options for extended features including downloads.

Data Processing

Account Required:

Cookies:

Cookies are used for authentication and session management.

Use in Reporting

SPOT is useful for:

  • Quickly generating location leads from images during early-stage investigations.

  • Narrowing down possible geographic areas before manual verification.

  • Supporting image-based geolocation workflows alongside mapping tools like Google Earth.

  • Adding visual context to reports where location is uncertain or disputed.

  • Assisting triage of large image datasets by prioritising likely matches.

Whilst there’s currently no direct attribution of the tool in published cases, its functionality mirrors techniques already proven in high-profile OSINT investigations. SPOT just automates part of the process. E.g. we could see its use in cases such as helping geolocate conflict footage and verify events.

Capabilities

Limitations

Quick AI-driven image analysis.

Accuracy is inconsistent and results are not definitive.

Identification of visual patterns and geographic indicators.

May generate false positives or overly broad suggestions.

Suggests possible locations to investigate further.

Highly dependent on search query and available training data.

Reduces time spent on initial geolocation triage.

Cannot interpret context as reliably as a human analyst.

Useful when dealing with unknown or foreign locations.

Requires manual validation and follow-up investigation.

Can assist less experienced analysts in spotting leads.

Summary

SPOT sits primarily in the analysis and enrichment stage of the OSINT workflow and should be used as a lead-generation tool for image geolocation, rather than a verification tool.

Ownership

The platform is developed and owned by DW Innovation, based in Bonn, Germany.

Ethical Considerations

  • Misidentification of locations can lead to false accusations or misinformation.

  • Be mindful that images may contain sensitive or personally identifiable information.

  • AI outputs should be treated critically and not blindly trusted.

  • Ensure all findings are verified and legally obtained.

Sources

https://www.findthatspot.io/

https://www.findthatspot.io/tutorial/instructions

https://innovation.dw.com/articles/geolocation-verification-tools-comparison

https://innovation.dw.com/about

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