Precise location data leaks into text more often than people realize — copied from a maps app, extracted from photo EXIF data, pasted out of GPS logs, or embedded in shared documents. The Geolocation Data Scrubber finds these machine-readable location identifiers and replaces them with generalized descriptions so you can share or process the text without exposing exactly where someone is.
How it works
The tool scans your text for several common location formats. Decimal coordinate pairs like 51.5074, -0.1278 are rounded to one decimal place, which collapses precision to roughly an 11 km grid square — enough to know the city, not the doorstep. Plus Codes (Google’s Open Location Code), what3words addresses such as ///filled.count.soap, UK postcodes, and US ZIP+4 codes are flagged and removed entirely, since these resolve to small, identifiable areas.
Every match is listed with its original value and the replacement applied, so you can verify nothing important was changed and nothing sensitive was missed.
Tips and notes
Run text through the scrubber before pasting it into a third-party AI tool, support ticket, or public post. Coordinates frequently arrive bundled with photo metadata or log exports without the author noticing them.
Remember that this is a pattern matcher, not a comprehension engine — it will not catch a location written out in plain prose, only structured identifiers. Always read the scrubbed output yourself before publishing. Because everything runs in your browser, the tool is safe to use on confidential material.