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Geospatial & GPS tracking

GPS tracks that move, not teleport.

Generate continuous location data for fleets, couriers and devices: each ping a short, believable step from the last, with speed, heading and odometer that agree.

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A delivery van crossing Chicago: example spreadsheet in a Mac window (fleet_gps_pings.xlsx)
The example

A delivery van crossing Chicago

What to look for in the screenshot above. These are the details that usually break in hand-made or random test data.

What you get

01

Continuous paths

Each position is a bounded step from the previous one, per vehicle or device.

02

Consistent motion

Speed, heading, distance and odometer agree with each other.

03

Linked entities

Pings belong to trips, trips to vehicles and drivers, all joinable.

04

Map-ready

Export to CSV or JSON and load straight into a map, notebook or GIS tool.

How it works

From idea to dataset in three steps

1

Describe or upload

Describe your data in plain English, or upload your SQL schema for PostgreSQL, MySQL / MariaDB, SQL Server and SQLite.

2

Review the plan

Check the tables, columns and rules the AI proposes, and adjust anything you like.

3

Generate and download

Choose how many rows you need and download a ready-to-run SQL script, CSV, Excel (one sheet per table) or JSON.

Questions

Can I choose the city or region?

Yes. Give a start area and the paths stay within a realistic radius of it.

Can I generate thousands of vehicles?

Yes. Each vehicle gets its own independent path.

Can I use it for IoT devices too?

Yes. The same approach works for asset trackers, phones and sensors.

Build your own version of this example

Describe your tables or upload your schema. The free trial needs no credit card.

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