The Scenario
It's Tuesday morning and a compliance report is due at 3 PM. Your logistics team has been collecting GPS pings from 1,500 delivery events — lat/lng pairs, logged automatically by the fleet system. What the compliance form actually needs is street addresses.
Nobody thought to capture the addresses at the time. The data is already in the Excel sheet.
The bad version:
- Copy the first coordinate pair, open Google Maps, drop a pin at those coordinates, read the address from the sidebar
- Paste it into the sheet, format it to match the column header's expected pattern (street, city, postal code — separately)
- Get to row 30 and realize the compliance form wants "State" as a two-letter abbreviation but you've been copying the full state name for the last 29 rows
1,500 rows. Three hours until the deadline. This isn't a data entry problem — it's a timeline problem.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel file and calls Google Maps for you. Paste the prompt and it reverse-geocodes every coordinate pair in the dataset.
Reverse-geocode every row in my Excel sheet where columns A and B contain latitude and longitude, and write the formatted street address into column C
What You Get
- Column C fills with the formatted address for each coordinate pair as returned by Google Maps
- Rows that fall outside addressable coverage (open ocean, remote areas) are flagged with a note rather than left blank
- The address format matches what Maps returns — street number, route, city, state, postal code in one string
What If the Data Is Not Quite Ready
The compliance form needs street, city, and state in separate columns, not a single string
Reverse-geocode the lat/lng pairs in columns A and B of my Excel sheet using Google Maps. Write the street address into column C, the city into column D, the state abbreviation into column E, and the postal code into column F.
Some rows have coordinates rounded to only 2 decimal places — not precise enough for street-level geocoding
For rows in my Excel sheet where columns A and B have coordinates with fewer than 4 decimal places, flag them in column D as "low precision" and attempt reverse-geocoding anyway using Google Maps. Write the result address into column C, noting confidence level if available.
A second worksheet holds a territory lookup — after geocoding, classify each address into a territory
Reverse-geocode the coordinates in columns A and B of Sheet1 using Google Maps and write the address into column C. Then look up the city from the geocoded result against the Territory column in Sheet2 and write the matching territory name into column D of Sheet1.
The data has GPS drift errors — some coordinates are implausibly far from expected delivery zones
Reverse-geocode the lat/lng pairs in my Excel sheet using Google Maps. For any result that falls outside the United States, flag it as "Out of Zone" in column D instead of writing an address. For the rest, write the full formatted address into column C.
Combining the validation and the reverse-geocode in one prompt means you find the bad data and get the good data in the same pass.
Try It
Get the 7-day free trial of SheetXAI and open any sheet with GPS coordinates that need human-readable addresses — ask SheetXAI to reverse-geocode the whole column. For related work, see how to geocode addresses to coordinates or pull route summaries for address pairs.