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1.3.4 • Public • Published


Version 1.3.4 release

  • Fixes for Unity

Version 1.3.3 release

  • Added ExpertEncoder to the JavaScript API
    • Allows developers to set quantization options per attribute id
  • Bug fixes

Version 1.3.2 release

  • Bug fixes

Version 1.3.1 release

  • Fix issue with multiple attributes when skipping an attribute transform

Version 1.3.0 release

  • Improved kD-tree based point cloud encoding
    • Now applicable to point clouds with any number of attributes
    • Support for all integer attribute types and quantized floating point types
  • Improved mesh compression up to 10% (on average ~2%)
    • For meshes, the 1.3.0 bitstream is fully compatible with 1.2.x decoders
  • Improved JavaScript API
    • Added support for all signed and unsigned integer types
    • Added support for point clouds to our JavaScript encoder API
  • Added support for integer properties to the PLY decoder
  • Bug fixes


Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

Draco was designed and built for compression efficiency and speed. The code supports compressing points, connectivity information, texture coordinates, color information, normals, and any other generic attributes associated with geometry. With Draco, applications using 3D graphics can be significantly smaller without compromising visual fidelity. For users, this means apps can now be downloaded faster, 3D graphics in the browser can load quicker, and VR and AR scenes can now be transmitted with a fraction of the bandwidth and rendered quickly.

Draco is released as C++/Javascript source code that can be used to compress 3D graphics as well as decoders for the encoded data.

NPM Package

The code shows a simple example of using Draco encoder and decoder with Node.js. draco_encoder_node.js and draco_decoder_node.js are modified Javascript encoding/decoding files that are compatible with Node.js. draco_nodejs_example.js has the example code for usage.

How to run the code:

(1) Install draco3d package :

$ npm install draco3d

(2) Run example code to test:

$ cp node_modules/draco3d/draco_nodejs_example.js .
$ cp node_modules/draco3d/bunny.drc .
$ node draco_nodejs_example.js

The code loads the Bunny model, it will first decode to a mesh and then encode it with different settings.


Bunny model from Stanford's graphic department https://graphics.stanford.edu/data/3Dscanrep/


npm i draco3d

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