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Photo Location Finder

Find where any photo was taken from visual clues

Photo Location Finder figures out where any photo was taken. It combines GPS metadata extraction, landmark recognition, reverse image search, and advanced AI visual reasoning — reading architecture, vegetation, signage, vehicle types, and terrain — to return a precise map pin with a confidence level and the reasoning behind the guess.

When the first-pass confidence is medium or low, a second refinement layer pulls nearby street-level imagery and runs a visual match pass to pin the exact spot. The result is a geographic coordinate, a confidence rating (exact/high/medium/low), up to four alternative locations, and a list of the visual clues that informed the answer. An interactive map card is included in the output.

What you can do

  • Identify the location of any photo from visual clues alone
  • Read raw EXIF metadata including GPS coordinates, camera model, lens, and timestamp
  • Ask follow-up questions alongside the location guess — "which neighbourhood?" or "Greece or Turkey?"
  • Run reverse image search as an additional signal for famous or widely-shared photos
  • Get up to four alternative location guesses with reasons for each

Who it's for

Journalists verifying the source of images, travel photographers cataloguing their work, investigators cross-checking photo claims, real estate professionals verifying listing photos, and curious people who want to know where a striking image was shot.

How to use it

  1. Use locate_photo with any publicly accessible image URL
  2. Add a questions parameter to get specific follow-up answers alongside the location
  3. Use read_exif to quickly check whether a photo has embedded GPS coordinates before running the full pipeline
  4. For ambiguous results, provide extra context in the questions field to narrow the guess

Getting started

No setup required — pass any public image URL to run the full location analysis pipeline.

Locate Photo

Analyse a photo and return the most likely location it was taken. Combines photo metadata, landmark recognition, reverse image search, and specialised visual reasoning. Returns a map pin, confidence score, and the visual clues that informed the guess.

Returns: Best guess with coordinates and confidence, visual reasoning, alternates, and an interactive map pin
Read EXIF

Read raw photo metadata (GPS coordinates, camera, lens, timestamp, orientation) from an image file without running the full analysis pipeline. Useful for forensics, photographer workflows, and quick metadata audits.

Returns: Raw EXIF metadata including GPS, camera, lens, and timestamp where available
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v0.022026-04-07
  • Added street-view refinement layer: when the first-pass guess is only medium or low confidence, the tool now pulls nearby open street-level imagery and runs a second visual match pass to pin the exact spot — no more guessing at the city level when a precise location is possible
v0.012026-04-07
  • Initial release: photo geolocation with metadata extraction, famous-landmark recognition, reverse image search, and advanced visual reasoning — returns a map pin with confidence and a list of visual clues

Connect ToolRouter to use Photo Location Finder in Claude, ChatGPT, Copilot, and more — no code required.

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What you can do with Photo Location Finder

Identify Photo Shoot Locations

Find where a photo was taken using visual AI analysis — useful for travel recreation, content research, and location scouting.

  1. Upload the photo and describe what information you are hoping to extract — country, city, specific landmark, or exact street position.
  2. Run `locate_photo` through `photo-location-finder` to generate the location analysis.
  3. Ask Claude to explain the confidence behind the identification — which visual clues were most definitive, and what would confirm or challenge the result?
  4. Use the location data for travel planning, content verification, or location scouting follow-up.

Extract Photo EXIF Metadata

Read embedded EXIF data from photos — GPS coordinates, camera settings, date and time — for location verification and photography analysis.

  1. Upload the image file and describe the metadata you are looking for — location, camera settings, or capture time.
  2. Run `read_exif` through `photo-location-finder` to extract the metadata.
  3. Ask Claude to interpret the findings — what does the GPS data tell you, what do the camera settings suggest about the shooting conditions?
  4. Use the metadata for photography analysis, location verification, or forensic documentation.

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