SuperAPI AI Directory

WhereWasTaken

WhereWasTaken is an AI-based image geolocation inference tool. Users can upload any photo, image, or GeoGuessr screenshot, without relying on GPS or metadata; the AI analyzes visual and geographic cues such as landmarks, text, buildings, roads, and the surrounding environment to estimate the most likely location, and provides the country, region, city, confidence level, and supporting evidence. It supports JPG, PNG, WEBP, and HEIC formats, up to 10MB per image. The official website also provides entry points to related tools such as finding a location from a photo, GeoGuessr image solving, and image metadata viewing, and shows examples such as Île-de-France, France, Illinois, United States, and Mendoza, Argentina. Specific information such as whether it is free is not clearly stated in the materials.

Open website

About this tool

WhereWasTaken is an AI-driven photo geolocation lookup tool designed to help users infer the shooting location solely from image content. Its core uses include: uploading a photo, screenshot, or GeoGuessr game round image to obtain the AI-estimated most likely location, along with the country, region, city, confidence score, and supporting evidence.

Main capabilities:

  • No GPS or metadata required: even if the photo contains no location information, the AI will analyze visual cues and geographic context to make an estimate.
  • Evidence-based reasoning: the output includes a confidence level and supporting evidence, such as landmarks, text, architectural style, roads, vegetation, terrain, and more.
  • Multi-format support: you can upload JPG, PNG, WEBP, and HEIC formats, up to 10MB.
  • Wide range of users: in addition to ordinary photos, it can also analyze GeoGuessr screenshots to help players infer possible locations.

How to use:

  1. Upload any image: a photo, screenshot, or GeoGuessr round all work; GPS is optional.
  2. AI analyzes geographic clues: it examines landmarks, text, buildings, roads, and the surrounding environment to identify geographic signals.
  3. Get a location report: view the most likely location, confidence score, and supporting evidence.

Use cases:

  • Wanting to know where an old photo or an image shared by someone else was taken.
  • Assisting with judging the location of a screenshot while playing GeoGuessr.
  • Analyzing hidden geographic clues in photos, such as architectural style, street signs, vegetation, and terrain.
  • Viewing image metadata such as EXIF, GPS coordinates, camera information, and timestamps (through related tools).

The official website examples show inference results such as Île-de-France, France (Haussmann architecture), Illinois, United States (Marina City Towers, the Chicago River and bridges), and Mendoza, Argentina (RN40 road markings, distant mountains), and list key location clues.

Limitations and information not provided:

  • The materials do not state a specific accuracy rate for the AI location estimates.
  • The materials do not state whether the tool is free, or whether it has paid plans or pricing.
  • The materials do not state whether it supports batch uploads, API access, or a mobile app.
  • Specific functional details of other related tools (finding a location from a photo, GeoGuessr image solving, image metadata viewing) are not yet provided.