Compute a bounding rectangle or circle that encloses all features
Choose between axis-aligned bounding box or enclosing circle
Local processing, data never uploaded to servers
Returns geometry with center, radius and bbox metadata
Upload a vector file, a bounding geometry enclosing all features will be computed
Axis-aligned bounding box (min/max coordinates)
Minimum Bounding Geometry computes a single compact shape that encloses all features in a layer, with two modes: an axis-aligned bounding rectangle built from the layer's minimum and maximum coordinates, or a bounding circle centred on the centroid with a radius reaching the farthest point. The output includes useful metadata such as the center, radius, and bounding box.
Bounding geometries answer questions like "what is the overall footprint of this dataset" and "does this layer fit inside that region". They are used to generate quick overview extents, set map view bounds, estimate coverage, and feed downstream tools that expect a simple envelope. Everything is computed in the browser, so nothing is uploaded.
Upload your vector file; the source preview shows the loaded features.
Choose the bounding shape — axis-aligned bounding rectangle or enclosing circle — and run the computation locally in your browser.
Inspect the bounding geometry overlaid on your data in the map preview, together with its center, radius, and bbox metadata, then download the result.
AThe rectangle (axis-aligned bounding box) is ideal for indexing, tile extents, and quick fit checks because it aligns with coordinate axes. The circle better represents a radial footprint — for example signal range or service radius — since it is centred on the centroid and reaches the farthest point.
AThe circle is centred on the dataset's centroid, and its radius is the distance from that center to the farthest vertex in the layer. It is a fast, predictable enclosure — not the mathematically smallest possible circle, which would require more expensive optimization.
ANo. The bounding rectangle is axis-aligned, computed directly from the minimum and maximum X and Y coordinates. If you need the smallest rotated enclosure, consider the Convex Hull tool, which returns the tightest convex polygon around the data.
AYes — the tool returns a single bounding feature enclosing all input features, along with metadata (center, radius, bbox) as attributes. It does not compute per-feature bounds.