Here's a sample run for 10 latitude/longitude coordinates in New Delhi, showing the exact schema and results you can expect.
| # | Latitude, Longitude | Address |
|---|---|---|
1 | 28.6285,77.2205 | 80 Janpath Tolstoy lane, Atul Grove Road, Janpath, Connaught Place, New Delhi, Delhi 110001, India |
2 | 28.6388,77.2373 | 3/27 Puri, gali 9, behind Crescent School, moujpur, Delhi, 110002, India |
3 | 28.6414,77.2346 | Shop No.3/11, Asaf Ali Rd, Katra Chobey Lal, Chandni Chowk, New Delhi, Delhi, 110002, India |
4 | 28.6428,77.2308 | 1, Asaf Ali Rd, Kalyanpura, Old Delhi, Delhi, 110002, India |
5 | 28.573,77.2278 | 138, Bhishma Pitamah Marg, South Extension, Arjun Nagar, Kotla Mubarakpur, Delhi, New Delhi, Delhi 110003, India |
6 | 28.6498,77.1467 | 6/23, Block 7, Kirti Nagar Industrial Area, Kirti Nagar, New Delhi, Delhi, 110015, India |
7 | 28.5732,77.228 | A-135, near MARUTI SHOWROOM, South Extension I, Arjun Nagar, Kotla Mubarakpur, New Delhi, Delhi 110003, India |
8 | 28.5869,77.2247 | 18/378, Fourth Ave Rd, Block 18, Institutional Area, Lodi Colony, New Delhi, Delhi 110003, India |
9 | 28.6586,77.2024 | 10135, Manakpura, Karol Bagh, Delhi, 110005, India |
10 | 28.6456,77.1878 | 4/50, near New Bloom School, Block 16A, WEA, Karol Bagh, New Delhi, Delhi, 110005, India |
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Coordinates as latitude,longitude (e.g. 37.4220579,-122.0862534). One per line.
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Drop these snippets into Claude Code, Cursor, or any agent IDE.
curl -X POST https://api.mindcase.co/api/v1/agents/google/maps/reverse-geocoding/run \
-H "Authorization: Bearer mk_live_YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"params": {
"coordinates": []
}
}'Google Reverse Geocoding converts geographic coordinates into human-readable location data. It returns the exact street address, latitude, and longitude for any specific point on the map.
Logistics managers use Google Reverse Geocoding to verify delivery drop-off points from driver GPS logs. Real estate analysts use it to map property coordinates to specific street addresses for valuation reports.
$0.80 per 1,000 addresses. Each coordinate pair that Google Reverse Geocoding successfully translates into an address counts as one billable row. The total cost scales linearly with the number of coordinates you provide in your input list. Failed runs don't count.
Convert raw GPS pings into a list of street addresses to audit driver routes and stops.
Transform latitude and longitude data from satellite imagery into mailing addresses for outreach.
Standardize coordinate-based datasets by adding a consistent address field for every entry.
Verify the physical location of remote equipment by translating coordinates into nearby landmarks or street names.
Sign up to run live queries against Google Reverse Geocoding via chat, form, or API.
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