Meaningful file-size reduction comes from understanding the asset and applying changes in stages, not from a single percentage target. This guide uses glTF Transform to separate safe scene cleanup from lossy texture or geometry changes, then validate the result in its target runtime.
1) Start with analysis, not guesswork
Run an initial analysis to understand where your size comes from: textures, geometry, animations, or unused data. Many models hide unreferenced textures or duplicated data that can often be removed before changing the model's appearance.
2) Build the pipeline in stages
A practical sequence is:
- Prune unused nodes and materials.
- Deduplicate meshes and textures.
- Apply mesh quantization and Draco compression.
- Compress textures to KTX2 or WebP.
- Optimize animation tracks and remove redundant keyframes.
3) Measure the texture contribution
When analysis shows that textures account for much of the asset size, converting to KTX2 with Basis Universal or to WebP can reduce transfer size. Each choice changes visual detail, encoding behavior, and runtime support. Test color, normal, and data textures separately instead of applying a single quality value to all of them.
4) Quantize geometry deliberately
Quantization lowers precision in a controlled way, which shrinks data and can improve transfer efficiency. Draco can reduce geometry transfer size further, but requires a compatible decoder. Low precision or aggressive simplification can alter silhouettes, seams, animation, or morph targets, so compare representative views before shipping.
5) Validate before shipping
Validate the compressed output in your target viewer and device constraints. If you need a local model-processing workflow, try OptimizeGLB for client-side compression.
For a broader tool breakdown, see the GLB tool comparison and our guide on client-side vs server-side compression.