diff --git a/src/Parser/LAZLoader.js b/src/Parser/LAZLoader.js
new file mode 100644
index 0000000000..939590bd98
--- /dev/null
+++ b/src/Parser/LAZLoader.js
@@ -0,0 +1,139 @@
+import { LazPerf } from 'laz-perf';
+import * as copc from 'copc';
+
+/**
+ * @typedef {Object} Header - Partial LAS header.
+ * @property {number} header.pointDataRecordFormat - Type of point data
+ * records contained by the buffer.
+ * @property {number} header.pointDataRecordLength - Size (in bytes) of the
+ * point data records. If the specified size is larger than implied by the
+ * point data record format (see above) the remaining bytes are user-specfic
+ * "extra bytes". Those are described by an Extra Bytes VLR.
+ * @property {number[]} header.scale - Scale factors (an array `[xScale,
+ * yScale, zScale]`) multiplied to the X, Y, Z point record values.
+ * @property {number[]} header.offset - Offsets (an array `[xOffset,
+ * xOffset, zOffset]`) added to the scaled X, Y, Z point record values.
+ */
+
+class LAZLoader {
+    constructor() {
+        this._wasmPath = 'https://unpkg.com/laz-perf@0.0.6/lib/';
+        this._wasmPromise = null;
+    }
+
+    _initDecoder() {
+        if (this._wasmPromise) {
+            return this._wasmPromise;
+        }
+
+        this._wasmPromise = LazPerf.create({
+            locateFile: file => `${this._wasmPath}/${file}`,
+        });
+
+        return this._wasmPromise;
+    }
+
+    _parseView(view, options) {
+        const colorDepth = options.colorDepth ?? 16;
+
+        const getPosition = ['X', 'Y', 'Z'].map(view.getter);
+        const getIntensity = view.getter('Intensity');
+        const getReturnNumber = view.getter('ReturnNumber');
+        const getNumberOfReturns = view.getter('NumberOfReturns');
+        const getClassification = view.getter('Classification');
+        const getPointSourceID = view.getter('PointSourceId');
+        const getColor = view.dimensions.Red ?
+            ['Red', 'Green', 'Blue'].map(view.getter) : undefined;
+
+        const positions = new Float32Array(view.pointCount * 3);
+        const intensities = new Uint16Array(view.pointCount);
+        const returnNumbers = new Uint8Array(view.pointCount);
+        const numberOfReturns = new Uint8Array(view.pointCount);
+        const classifications = new Uint8Array(view.pointCount);
+        const pointSourceIDs = new Uint16Array(view.pointCount);
+        const colors = getColor ? new Uint8Array(view.pointCount * 4) : undefined;
+
+        for (let i = 0; i < view.pointCount; i++) {
+            // `getPosition` apply scale and offset transform to the X, Y, Z
+            // values. See https://github.com/connormanning/copc.js/blob/master/src/las/extractor.ts.
+            const [x, y, z] = getPosition.map(f => f(i));
+            positions[i * 3] = x;
+            positions[i * 3 + 1] = y;
+            positions[i * 3 + 2] = z;
+
+            intensities[i] = getIntensity(i);
+            returnNumbers[i] = getReturnNumber(i);
+            numberOfReturns[i] = getNumberOfReturns(i);
+
+            if (getColor) {
+                // Note that we do not infer color depth as it is expensive
+                // (i.e. traverse the whole view to check if there exists a red,
+                // green or blue value > 255).
+                let [r, g, b] = getColor.map(f => f(i));
+
+                if (colorDepth === 16) {
+                    r /= 256;
+                    g /= 256;
+                    b /= 256;
+                }
+
+                colors[i * 4] = r;
+                colors[i * 4 + 1] = g;
+                colors[i * 4 + 2] = b;
+                colors[i * 4 + 3] = 255;
+            }
+
+            classifications[i] = getClassification(i);
+            pointSourceIDs[i] = getPointSourceID(i);
+        }
+
+        return {
+            position: positions,
+            intensity: intensities,
+            returnNumber: returnNumbers,
+            numberOfReturns,
+            classification: classifications,
+            pointSourceID: pointSourceIDs,
+            color: colors,
+        };
+    }
+
+    /**
+     * Set LazPerf decoder path.
+     * @param {string} path - path to `laz-perf.wasm` folder.
+     */
+    set lazPerf(path) {
+        this._wasmPath = path;
+        this._wasmPromise = null;
+    }
+
+    /**
+     * Parse a LAZ chunk. Note that this function is **CPU-bound** and shall be
+     * parallelised in a dedicated worker.
+     * @param {Uint8Array} data - Chunk data.
+     * @param {Object} options - Parsing options.
+     * @property {Header} options.header - Partial LAS header.
+     * @property {number} options.pointCount - Number of points in this data
+     * chunk.
+     * @property {copc.Las.ExtraBytes[]} [options.eb] - Extra bytes LAS VLRs
+     * headers.
+     * @property {8 | 16} [options.colorDepth=16] - Color depth (in bits).
+     * Either 8 or 16 bits.
+     */
+    async parseChunk(data, options) {
+        const { header, eb, pointCount } = options;
+        const { pointDataRecordFormat, pointDataRecordLength } = header;
+
+        const bytes = new Uint8Array(data);
+        const pointData = await copc.Las.PointData.decompressChunk(bytes, {
+            pointCount,
+            pointDataRecordFormat,
+            pointDataRecordLength,
+        }, this._initDecoder());
+
+        const view = copc.Las.View.create(pointData, header, eb);
+        return this._parseView(view, options);
+    }
+}
+
+export default LAZLoader;
diff --git a/src/Parser/LAZParser.js b/src/Parser/LAZParser.js
new file mode 100644
index 0000000000..7331302b82
--- /dev/null
+++ b/src/Parser/LAZParser.js
@@ -0,0 +1,94 @@
+import * as THREE from 'three';
+import LAZLoader from 'Parser/LAZLoader';
+
+/** @type {LazLoader?} */
+let loader = null;
+
+async function parseChunk(pointData, options) {
+    const lazLoader = loader ?? (loader = new LAZLoader());
+    return lazLoader.parseChunk(pointData, options.in);
+}
+
+/** The LAZParser module provides a [parseChunk]{@link
+ * module:LASParser.parseChunk} method that takes a LAZ (LASZip) chunk in, and
+ * gives a `THREE.BufferGeometry` containing all the necessary attributes to be
+ * displayed in iTowns. It uses the
+ * [copc.js](https://github.com/connormanning/copc.js/) library.
+ *
+ * @module LAZParser
+ */
+export default {
+    /**
+     * @typedef {Object} Header - Partial LAS header.
+     * @property {number} header.pointDataRecordFormat - Type of point data
+     * records contained by the buffer.
+     * @property {number} header.pointDataRecordLength - Size (in bytes) of the
+     * point data records. If the specified size is larger than implied by the
+     * point data record format (see above) the remaining bytes are user-specfic
+     * "extra bytes". Those are described by an Extra Bytes VLR.
+     * @property {number[]} header.scale - Scale factors (an array `[xScale,
+     * yScale, zScale]`) multiplied to the X, Y, Z point record values.
+     * @property {number[]} header.offset - Offsets (an array `[xOffset,
+     * xOffset, zOffset]`) added to the scaled X, Y, Z point record values.
+     */
+
+    /**
+     * @typedef {Object} ParsingOptions - Options of the parser.
+     * @property {Object} in - Options from the source input.
+     * @property {number} in.pointCount - Number of points in this data
+     * chunk.
+     * @property {8 | 16} [in.colorDepth=16] - Color depth (in bits). Either 8
+     * or 16 bits.
+     * @property {Header} in.header - Partial LAS header.
+     * @property {copc.Las.ExtraBytes[]} [in.eb] - Extra bytes LAS VLRs headers.
+     */
+
+    /*
+     * Set then laz-perf decoder path.
+     * @param {string} path - path to `laz-perf.wasm` folder.
+     */
+    setLazPerf(path) {
+        const lazLoader = loader ?? (loader = new LAZLoader());
+        lazLoader.lazPerf = path;
+    },
+
+    /**
+     * Parse a LAZ chunk.
+     * @param {Uint8Array} data - Chunk data.
+     * @param {ParsingOptions} options - Parsing options.
+     * @returns {BufferGeometry} - The corresponding geometry.
+     */
+    async parseChunk(data, options) {
+        const attrs = await parseChunk(data, options);
+
+        const geometry = new THREE.BufferGeometry();
+        geometry.userData = options.in.header;
+        geometry.userData.vertexCount = options.in.pointCount;
+
+        const positionBuffer = new THREE.BufferAttribute(attrs.position, 3);
+        geometry.setAttribute('position', positionBuffer);
+
+        const intensityBuffer = new THREE.BufferAttribute(attrs.intensity, 1, true);
+        geometry.setAttribute('intensity', intensityBuffer);
+
+        const returnNumber = new THREE.BufferAttribute(attrs.returnNumber, 1);
+        geometry.setAttribute('returnNumber', returnNumber);
+
+        const numberOfReturns = new THREE.BufferAttribute(attrs.numberOfReturns, 1);
+        geometry.setAttribute('numberOfReturns', numberOfReturns);
+
+        const classBuffer = new THREE.BufferAttribute(attrs.classification, 1, true);
+        geometry.setAttribute('classification', classBuffer);
+
+        const pointSourceID = new THREE.BufferAttribute(attrs.pointSourceID, 1);
+        geometry.setAttribute('pointSourceID', pointSourceID);
+
+        if (attrs.color) {
+            const colorBuffer = new THREE.BufferAttribute(attrs.color, 4, true);
+            geometry.setAttribute('color', colorBuffer);
+        }
+
+        geometry.computeBoundingBox();
+        return geometry;
+    },
+};