Geohash Converter & Bounding Box Finder
Encode geographic coordinates into Base32 Geohash strings and decode Geohashes to bounding boxes and lat/lng centroids.
The Geohash Converter encodes geographic coordinates into hierarchical Base32 geohash strings and decodes existing geohashes into exact latitude/longitude centroids and bounding boxes. It visualizes the hierarchical spatial grid and provides resolution bounds from 1 to 12 characters.
Resolution: ~4.7m
Geohash Converter Technical Specifications & Standards
WGS84 (EPSG:4326)
Standard global ellipsoidal coordinate reference system
Z-Order Geodesics
Hierarchical up to 12 characters
GeoJSON · KML · CSV · SVG
Compatible with QGIS, ArcGIS, Google Earth & CAD
100% Client-Side
Calculations run in-browser. Zero coordinate logging.
How to Use the Geohash Converter & Bounding Box Finder
Follow this step-by-step procedure to execute precise spatial measurements and export results.
- 1Choose Encode or Decode: Select whether to create a geohash from coordinates or decode an existing hash.
- 2Set precision: Choose precision length from 1 character (~5,000 km) to 9 characters (~4.8 meters).
- 3Inspect bounding box: Review the north, south, east, and west geographic boundaries on the map.
- 4Copy Geohash: Copy the compact Base32 string for database indexing (Redis, MongoDB, Elasticsearch).
Geodesic Precision vs. Competitor Mapping Approaches
Most legacy mapping utilities (such as CalcMaps and FreeMapTools) rely on planar Web Mercator projections or spherical approximations, causing significant mathematical distortion at higher latitudes. GeoMap Suite computes exact ellipsoidal geodesics on the WGS84 reference ellipsoid.
| Calculation Model | Mathematical Basis | Distortion on WGS84 | Standard Tools | Practical Application |
|---|---|---|---|---|
| Planar (Web Mercator) | Cartesian dx² + dy² | 10% to 200%+ error | CalcMaps / Simple map tools | Distorts drastically away from equator. Inaccurate for true distance. |
| Spherical Great-Circle | Haversine (R = 6,371 km) | Up to 0.5% (~5 km/1,000 km) | Basic Google Maps wrappers | Ignores Earth's polar flattening. Reasonable for rough estimates. |
| GeoMap Suite Ellipsoidal | Karney Direct/Inverse WGS84 | < 15 nanometers (<0.0001%) | GeoMap Suite | Geodetic surveying, maritime, flight paths & legal boundary analysis. |
Worked Example: Encoding Eiffel Tower Coordinates to Geohash
A developer indexes the location of the Eiffel Tower in Paris for geospatial database querying.
Input Parameters
- Latitude
- 48.8584° N
- Longitude
- 2.2945° E
- Precision
- 9 characters
Computed Outputs
- Geohash
- u09tunq0e
- Bounding Box Size
- 4.77m × 4.77m
- Prefix Matching
- Shares "u09tu" with all Paris monuments
Step-by-Step Mathematical Process
- Interleave binary bits of latitude [-90, 90] and longitude [-180, 180].
- Encode every 5 bits using the Base32 character set (0-9, b-z excluding a, i, l, o).
- Resulting Geohash: "u09tunq0e".
Understanding Your Results & Practical Interpretation
Hierarchical Spatial Indexing
Each additional character in a geohash subdivides the rectangular bounding box into 32 smaller sub-rectangles, increasing precision exponentially.
Practical Applications & Real-World Use Cases
Spatial Database Indexing
Index geographic points in Redis GEO, DynamoDB, or Elasticsearch.
Location Privacy Obfuscation
Truncate coordinates to 4 or 5 characters to mask exact residential locations.
Mathematical Methodology & Geodetic Accuracy
Z-Order Space Filling Curve / Base32 Geohash Encoding
Interleaves the bits of binary-partitioned latitude and longitude values along a Morton Z-order curve.
Geohash = Base32(Interleave(Bits(lat), Bits(lng)))Limitations & Boundary Conditions
- •Non-linear boundary edge effects: Two adjacent points across a major grid boundary may have completely different geohash strings.
Authoritative Reference Standards
Troubleshooting & Geographic Edge Cases
Why do two close locations have different geohashes?
If two locations sit on opposite sides of a major division line (e.g. prime meridian or equator), their prefix letters will differ despite being close.
Frequently Asked Questions
A Geohash is an open geocoding system that converts a latitude/longitude pair into a compact alphanumeric Base32 string. It divides the Earth recursively into a hierarchical grid along a Morton Z-order space-filling curve.