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Photo Location Finder

Pricing

from $25.00 / 1,000 sucessful location founds

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Photo Location Finder

Photo Location Finder

Identify the real-world location of any photo using AI — extract coordinates, country, city, landmarks, and reasoning from a single image.

Pricing

from $25.00 / 1,000 sucessful location founds

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0.0

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Developer

Andrew

Andrew

Maintained by Community

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0

Bookmarked

3

Total users

3

Monthly active users

a day ago

Last modified

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Find where any photo was taken — no EXIF GPS needed. Get the exact place name, latitude/longitude, country, region, city, recognized landmarks, and the visual clues that led to the answer.

What you get

  • locationName — concise human-readable place ("Eiffel Tower from Pont de l'Alma, Paris, France")
  • country, region, city — administrative breakdown when known
  • latitude, longitude — best-guess coordinates of the camera position
  • confidencehigh (specific spot), medium (city/region), or low (country/continent)
  • landmarks — array of recognized landmarks visible in the frame
  • reasoning — short explanation of the cues used (architecture, signage, vegetation, license plates, sun angle…)
  • alternativeGuesses — runner-up candidates with their own coordinates and confidence
  • googleMapsUrl — convenience link straight to the coordinates

Use cases

  • OSINT and journalism — verify where a photo or video frame was taken
  • Travel content — auto-tag photo libraries with the exact location
  • Real estate and insurance — confirm a listing or claim photo's location
  • Stock photo enrichment — fill in missing geographic metadata at scale
  • Investigative research — pinpoint a scene from background details alone

How to use

  1. Upload one or more photos in the Images field (max 10 per run)
  2. Run the actor — results appear in the Dataset tab, one record per image

Images are processed in parallel, so 10 images take roughly the same wall time as 1.

Output format

One dataset record per image:

{
"inputImageUrl": "https://api.apify.com/v2/key-value-stores/.../records/photo.jpg",
"locationName": "Shibuya Center Gai, Tokyo, Japan",
"country": "Japan",
"region": "Tokyo",
"city": "Tokyo",
"latitude": 35.6598,
"longitude": 139.6996,
"confidence": "high",
"landmarks": ["Shibuya Center Gai"],
"reasoning": "The identification is confirmed by a prominent sign reading '渋谷センター街' (Shibuya Center-gai), a famous pedestrian shopping street in Tokyo. The dense neon signage, Japanese script, and crowded urban atmosphere are all characteristic of the Shibuya district.",
"alternativeGuesses": [
{ "locationName": "Kabukicho, Shinjuku, Tokyo, Japan", "latitude": 35.6941, "longitude": 139.7003, "confidence": "medium" },
{ "locationName": "Dotonbori, Osaka, Japan", "latitude": 34.6687, "longitude": 135.501, "confidence": "medium" }
],
"googleMapsUrl": "https://www.google.com/maps?q=35.6598,139.6996",
"status": "success",
"error": null
}

Limits

  • Up to 10 images per run.
  • Accuracy is highest for outdoor scenes with visible signage, recognizable architecture, or known landmarks. Indoor photos and featureless rural shots are hardest.
  • Performance is somewhat stronger for densely-photographed regions (North America, Europe, East Asia) than for less-photographed parts of the world.