HOW IT WORKS

From Source to Destination.
Your Way.

Bring in geospatial data, convert or transform it, and send the result where it needs to go — all through a simple visual workflow.

View Features
Source
Input Source
Connect or Upload
Any GIS data source
Configured
Processing (Optional)
Transform & Format
Process Your Data
CRS, fields, or Python
Configured
Destination
Delivery Target
Deliver Directly
Storage, DB, or servers
Configured

Build your workflow in three steps

Choose where your data comes from, what should happen to it, and where the result should go.

01 — Choose a Source

Start with your data

Upload a file or connect GeoJibe to an existing data source.

Source
Upload
Local GIS file
Source
URL
HTTP Endpoint
Source
S3
Cloud Bucket
Source
FeatureServer
Web Service
QFieldCloud Sync Support
Mergin Maps Sync Support
02 — Process It

Convert it. Transform it. Make it yours.

Change formats and coordinate systems, reshape fields, or use Python when you need custom processing.

Convert
CONVERT
Change format or CRS
Transform
TRANSFORM
Rename, modify fields
Python
PYTHON
Custom processing
Processing is Always Optional — Never Forced
Source ──────────────────────→ Destination Direct 1-Step
Source ──→ Convert → Transform ──→ Destination Custom Pipeline
03 — Choose a Destination

Send it where it needs to go

Download the result or deliver it directly to the services and systems you already use.

Target
Download
Target
PostGIS
Target
S3
Target
SFTP
Target
GeoServer
Target
GeoNode
No Job required.

Need to convert a file? Just convert it.

Not every task needs a saved workflow. Upload your data, choose an output format, and download the result.

neighborhoods.shp
GeoJibe
neighborhoods.gpkg
Shapefile → GeoPackage GeoJSON → Shapefile CSV → GeoJSON KML → GeoPackage

See exactly what happens to your data

GeoJibe's visual Canvas turns a workflow into a simple schematic. Add components, click them to configure their settings, and see the entire process at a glance.

Pipeline Canvas Run this conversion without saving. Save as Job is optional.
S3 Bucket
parcels_raw.zip
ESRI Shapefile
Configured
Transform
2 operations
3 of 5 fields selected
Configured
Convert
GeoPackage
EPSG:4326
Configured
PostGIS
production_gis
Table: parcels_clean
Configured
VISUAL TRANSFORMATIONS

Simple changes without complicated GIS tools

Build common transformations visually, including field changes and output selection.

Transform Configuration Visual Mode
Rename field
shape_len
perimeter
Output Fields Geometry always kept
  • name (String)
  • perimeter (Real)
  • shape_area (Real - Omitted)
PYTHON EXTENSIBILITY

Go further with Python

Add custom Python processing when a built-in transformation isn't enough.

custom_transform.py
# input → Python → output
def process_feature(feature):
    # Calculate custom spatial metric
    feature['density'] = feature['pop'] / feature.geometry.area
    return feature
Runs securely in isolated sandbox ✓ Ready

More than a file converter

Results don't have to end as downloads. GeoJibe can deliver processed data directly to databases, storage, and geospatial platforms.

Ready Dataset
GeoJibe Result
Standardized & Validated
Download
PostGIS
Amazon S3
SFTP Server
GeoServer
GeoNode

Do it once — or make it repeatable

When a workflow is something you'll use again, save it as a Job.

SOURCE TRANSFORM DESTINATION SAVE JOB

A saved Job remembers the Source, processing steps, and Destination so the same workflow can run again without rebuilding it.

Run Now

Execute manually whenever new data arrives. Instant 1-click execution.

Scheduled

Set hourly, daily, or custom cron triggers to automate updates effortlessly.

Keep field data moving

GeoJibe can run synchronization Jobs for supported field-data platforms, checking for changes and updating the destination automatically.

Scheduled sync active
Field Source
QFieldCloud
Database
PostGIS
Scheduled sync active
Field Source
Mergin Maps
Database
PostGIS

Build the workflow you need

From quick one-off format switches to enterprise spatial delivery pipelines.

Quick File Conversion
Ad-hoc GIS Conversion
Upload
Convert
Download
Automated Ingestion
Open Data Ingestion to PostGIS
URL
Transform
PostGIS
Custom Spatial Analytics
Cloud Storage to GeoServer
S3
Python
GeoServer
Field Data Sync
Automated Field Data Updates
QFieldCloud
Sync
PostGIS

Your data. Your workflow.

Convert, transform, synchronize, and deliver geospatial data without building a complicated processing pipeline.

View Pricing
Secure & Private
Your data is processed securely and never shared.
Fast & Reliable
Powerful processing that scales with your data and your needs.
Works Everywhere
Web-based. No installation required.
Trusted by Professionals
Built for GIS pros, by GIS pros.