Paste any Google Maps Street View URL below to extract the exact local time the image was captured, down to the precise second.
Note: Finding exact timestamps for panoramas taken prior to 2025 can be a bit finicky. If the tool fails to find the exact date of an older panorama, you can try moving one step down the road and trying the new link. I have gotten images as old as 2008 to work with a bit of effort.
Google Maps publicly displays the capture month and year for its panoramas, but the precise time of day is hidden deep within their backend systems. This application interacts directly with the hidden Google Maps API using a binary search algorithm.
By repeatedly pinging the database with narrowing timestamp filters, the tool pinpoints the exact UNIX timestamp when the Google Street View car snapped the photograph. It then converts this raw data into the accurate local time of the location, while also automatically adjusting for Daylight Saving Time (DST) rules where applicable.
Verify the exact timeline of events, cross-reference shadows and weather conditions, and establish chronological facts in open-source intelligence investigations.
Study historical capture times to better understand sun angles, shadow lengths, and camera generations across different countries and regions.
Accurately catalog and date archival street-level imagery for urban development studies and historical documentation.
While recent images are easily extracted, older panoramas can sometimes hit a ceiling limit in Google's database architecture. As mentioned above, if you get an error for an older image, try moving one step down the street in Google Maps and extracting the time from the new URL. It takes a bit of trial and error, but it often works!
Shortened sharing links generated by the Google Maps mobile app act as redirects. Google aggressively blocks automated tools from following these redirects to prevent bot abuse. You must use the fully expanded, long URL found in a standard desktop web browser.
Yes. The Street View Date Finder is 100% free and runs directly in your browser. No accounts or API keys are required to extract timestamps.