Individual skill
geolocate-from-pixels
Geolocate and chronolocate a photo or video from visual evidence alone — plate and phone number formats, road markings, utility poles, bollards, signage typefaces, architecture and vegetation for place; shadow direction and length with SunCalc for time and date. Use when asked where or when a picture was taken, to verify a claimed location without GPS or EXIF, or to match a scene against Google Earth, Street View, Yandex Panoramas, Mapillary or KartaView. Applies to GEOINT and conflict monitoring, insurance and claims verification, journalism fact-checking, and evidence review. Reference at useosint.com/skills/geolocate-from-pixels.
skills/geolocate-from-pixels/SKILL.md
Source commit 06243a5620b0c9c97502edd4ee9e31995a3bdccd
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- Yes
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- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
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- 61
- Repository last updated
- Aug 3, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
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SKILL.mdcore · 15,605 bytesSKILL.mdcore · 15,605 bytesSKILL.mdcore · 15,605 bytesreference/chronolocation.mddoc · 13,096 bytesreference/regional-indicators.mddoc · 20,847 bytes
Read excerpt
# Geolocate from pixels
Every photograph taken outdoors contains enough information to place it. The
constraint is never the image; it is your patience and your reference knowledge.
The beginner mistake is searching before inventorying. People see a mountain,
type "mountain with two peaks" into a search box, and get nothing. The method is
the opposite: extract every clue first, rank them by how much of the planet each
one eliminates, and only then start searching — because the clue that pins the
country is usually not the one your eye went to.
## Rank your clues before you search
Work down this list. Each row eliminates far more of the world than the one below