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    How-To
    5/16/2026
    5 min read

    Reverse Geocoding in Bulk: Turn Coordinates Into Addresses

    A practical guide to converting lists of GPS coordinates into street addresses, with notes on rate limits and accuracy.

    If you've ever exported a GPS log from a field-survey app, a fleet tracker, or a drone flight, you end up with a list that looks like `40.748817, -73.985428` — accurate, useful for maps, useless for a printed report.

    What is reverse geocoding?

    Reverse geocoding takes a latitude/longitude pair and returns the human-readable address: street, neighborhood, city, country. The reverse direction (address → coordinates) is called forward geocoding.

    Doing it in bulk

    The free Reverse Geocode Batch tool takes a list of coordinates (paste or CSV upload) and resolves each to an address. Results export as CSV with the original lat/lng plus the resolved address fields.

    Because the tool uses the OpenStreetMap Nominatim public API, it throttles to one request per second as required by their usage policy. A 500-coordinate list takes ~8 minutes; the tool keeps the tab alive and shows progress.

    When you need higher throughput

    For tens of thousands of coordinates, switch to a paid provider:

    • Google Geocoding API (most accurate in cities)
    • Mapbox Geocoding (good global coverage)
    • LocationIQ or Geoapify (Nominatim-based, no per-second limit)

    For a one-off batch under a few thousand, the free tool is fine.

    Accuracy notes

    • City-scale results are reliable everywhere.
    • Street-level results depend on OSM coverage — excellent in Europe and North America, patchy in rural areas elsewhere.
    • A coordinate in the middle of a lake or forest returns the nearest named feature, not "(none)".

    Use cases

    • Cleaning up field-survey GPS logs into a deliverable spreadsheet.
    • Adding human-readable locations to a fleet's daily trip report.
    • Resolving drone waypoint files for inspection paperwork.
    • Building a list of "where my photos were taken" from EXIF GPS.

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