Reverse geocoding had become bread and butter for today's competitive world of ideas. Taken for granted, the process is actually very complex and sometimes theoretically a non polynomial task to complete. At CSV2GEO we have tried to simplified that process for the end user and make it smooth and straightforward. Below are some of the important features we have incorporated in our system. If you are looking for a feature that is not present, please request one at
When a user needs to run a reverse geocoding in CSV2GEO, there are many options as input data. Whoever, the output is always very precise. It will include parsed address components as separate entities ( street number, street nae, city, state, zip code, country), combined address (separate by comma between the components) and accuracy of the results
LEARN MORE ABOUT NORMALIZED ADDRESSBesides this option to use a CSV file as the input file in order to use the reverse geocoding feature, the user can also use another option, namely to type manually the geographic coordinates in the CSV2GEO geocoder window. For this example, we will use the location of the San Francisco Union Square in California.
LEARN MORE ABOUT INSTANT TYPINGIn order to highlight the advantages and functionalities offered by the reverse geocoding feature, we will use the same coordinates for the San Francisco Union Square in California and we will keep the same geographic coordinates for this location, namely “37.787994” and “-122.407437”.
LEARN MORE ABOUT MULTI COLUMN SUPPORTIn order to exemplify the versatility and flexibility of the CSV2GEO tool regarding the reverse geocoding process we will take another example. This time we will take three locations in San Francisco, namely three hotels: Nob Hill Hotel, Bay Hotel and Hotel Sunrise. Accordingly, we will introduce manually the geographic coordinates for these points and then we will click on the “Go” button. These coordinates will be introduced without being separated by commas.
LEARN MORE ABOUT SINGLE COLUMN SUPPORT