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SplatTransform is an open source library and CLI tool for converting and editing Gaussian splats. It can:
📥 Read PLY, Compressed PLY, SOG, SPLAT, KSPLAT, SPZ and LCC formats
📤 Write PLY, Compressed PLY, SOG, CSV, HTML Viewer and LOD (streaming) formats
📊 Generate statistical summaries for data analysis
🔗 Merge multiple splats
🔄 Apply transformations to input splats
🎛️ Filter out Gaussians or spherical harmonic bands
⚙️ Procedurally generate splats using JavaScript generators
The library is platform-agnostic and can be used in both Node.js and browser environments.
Install or update to the latest version:
npm install -g @playcanvas/splat-transformFor library usage, install as a dependency:
npm install @playcanvas/splat-transformsplat-transform [GLOBAL] input [ACTIONS] ... output [ACTIONS]Key points:
- Input files become the working set; ACTIONS are applied in order
- The last file is the output; actions after it modify the final result
- Use
nullas output to discard file output
| Format | Input | Output | Description |
|---|---|---|---|
.ply |
✅ | ✅ | Standard PLY format |
.sog |
✅ | ✅ | Bundled super-compressed format (recommended) |
meta.json |
✅ | ✅ | Unbundled super-compressed format (accompanied by .webp textures) |
.compressed.ply |
✅ | ✅ | Compressed PLY format (auto-detected and decompressed on read) |
.lcc |
✅ | ❌ | LCC file format (XGRIDS) |
.ksplat |
✅ | ❌ | Compressed splat format (mkkellogg format) |
.splat |
✅ | ❌ | Compressed splat format (antimatter15 format) |
.spz |
✅ | ❌ | Compressed splat format (Niantic format) |
.mjs |
✅ | ❌ | Generate a scene using an mjs script (Beta) |
.csv |
❌ | ✅ | Comma-separated values spreadsheet |
.html |
❌ | ✅ | HTML viewer app (single-page or unbundled) based on SOG |
Actions can be repeated and applied in any order:
-t, --translate <x,y,z> Translate splats by (x, y, z)
-r, --rotate <x,y,z> Rotate splats by Euler angles (x, y, z) in degrees
-s, --scale <factor> Uniformly scale splats by factor
-H, --filter-harmonics <0|1|2|3> Remove spherical harmonic bands > n
-N, --filter-nan Remove Gaussians with NaN or Inf values
-B, --filter-box <x,y,z,X,Y,Z> Remove Gaussians outside box (min, max corners)
-S, --filter-sphere <x,y,z,radius> Remove Gaussians outside sphere (center, radius)
-V, --filter-value <name,cmp,value> Keep splats where <name> <cmp> <value>
cmp ∈ {lt,lte,gt,gte,eq,neq}
-p, --params <key=val,...> Pass parameters to .mjs generator script
-l, --lod <n> Specify the level of detail of this model, n >= 0.
-m, --summary Print per-column statistics to stdout
-h, --help Show this help and exit
-v, --version Show version and exit
-q, --quiet Suppress non-error output
-w, --overwrite Overwrite output file if it exists
-i, --iterations <n> Iterations for SOG SH compression (more=better). Default: 10
-L, --list-gpus List all available GPU adapters and exit
-g, --gpu <n|cpu> Select device for SOG compression: GPU adapter index | 'cpu'
-E, --viewer-settings <settings.json> HTML viewer settings JSON file
-U, --unbundled Generate unbundled HTML viewer with separate files
-O, --lod-select <n,n,...> Comma-separated LOD levels to read from LCC input
-C, --lod-chunk-count <n> Approx number of Gaussians per LOD chunk in K. Default: 512
-X, --lod-chunk-extent <n> Approx size of an LOD chunk in world units (m). Default: 16
Note
See the SuperSplat Viewer Settings Schema for details on how to pass data to the -E option.
# Simple format conversion
splat-transform input.ply output.csv
# Convert from .splat format
splat-transform input.splat output.ply
# Convert from .ksplat format
splat-transform input.ksplat output.ply
# Convert to compressed PLY
splat-transform input.ply output.compressed.ply
# Uncompress a compressed PLY back to standard PLY
# (compressed .ply is detected automatically on read)
splat-transform input.compressed.ply output.ply
# Convert to SOG bundled format
splat-transform input.ply output.sog
# Convert to SOG unbundled format
splat-transform input.ply output/meta.json
# Convert from SOG (bundled) back to PLY
splat-transform scene.sog restored.ply
# Convert from SOG (unbundled folder) back to PLY
splat-transform output/meta.json restored.ply
# Convert to standalone HTML viewer (bundled, single file)
splat-transform input.ply output.html
# Convert to unbundled HTML viewer (separate CSS, JS, and SOG files)
splat-transform -U input.ply output.html
# Convert to HTML viewer with custom settings
splat-transform -E settings.json input.ply output.html# Scale and translate
splat-transform bunny.ply -s 0.5 -t 0,0,10 bunny_scaled.ply
# Rotate by 90 degrees around Y axis
splat-transform input.ply -r 0,90,0 output.ply
# Chain multiple transformations
splat-transform input.ply -s 2 -t 1,0,0 -r 0,0,45 output.ply# Remove entries containing NaN and Inf
splat-transform input.ply --filter-nan output.ply
# Filter by opacity values (keep only splats with opacity > 0.5)
splat-transform input.ply -V opacity,gt,0.5 output.ply
# Strip spherical harmonic bands higher than 2
splat-transform input.ply --filter-harmonics 2 output.ply# Combine multiple files with different transforms
splat-transform -w cloudA.ply -r 0,90,0 cloudB.ply -s 2 merged.compressed.ply
# Apply final transformations to combined result
splat-transform input1.ply input2.ply output.ply -t 0,0,10 -s 0.5Generate per-column statistics for data analysis or test validation:
# Print summary, then write output
splat-transform input.ply --summary output.ply
# Print summary without writing a file (discard output)
splat-transform input.ply -m null
# Print summary before and after a transform
splat-transform input.ply --summary -s 0.5 --summary output.plyThe summary includes min, max, median, mean, stdDev, nanCount and infCount for each column in the data.
Generator scripts can be used to synthesize gaussian splat data. See gen-grid.mjs for an example.
splat-transform gen-grid.mjs -p width=10,height=10,scale=10,color=0.1 scenes/grid.ply -wWhen compressing to SOG format, you can control which device (GPU or CPU) performs the compression:
# List available GPU adapters
splat-transform --list-gpus
# Let WebGPU automatically choose the best GPU (default behavior)
splat-transform input.ply output.sog
# Explicitly select a GPU adapter by index
splat-transform -g 0 input.ply output.sog # Use first listed adapter
splat-transform -g 1 input.ply output.sog # Use second listed adapter
# Use CPU for compression instead (much slower but always available)
splat-transform -g cpu input.ply output.sogNote
When -g is not specified, WebGPU automatically selects the best available GPU. Use -L to list available adapters with their indices and names. The order and availability of adapters depends on your system and GPU drivers. Use -g <index> to select a specific adapter, or -g cpu to force CPU computation.
Warning
CPU compression can be significantly slower than GPU compression (often 5-10x slower). Use CPU mode only if GPU drivers are unavailable or problematic.
# Show version
splat-transform --version
# Show help
splat-transform --helpSplatTransform exposes a programmatic API for reading, processing, and writing Gaussian splat data.
import {
readFile,
writeFile,
getInputFormat,
getOutputFormat,
DataTable,
processDataTable
} from '@playcanvas/splat-transform';| Export | Description |
|---|---|
readFile |
Read splat data from various formats |
writeFile |
Write splat data to various formats |
getInputFormat |
Detect input format from filename |
getOutputFormat |
Detect output format from filename |
DataTable, Column |
Core data structures for splat data |
combine |
Merge multiple DataTables into one |
transform |
Apply spatial transformations |
processDataTable |
Apply a sequence of processing actions |
computeSummary |
Generate statistical summary of data |
The library uses abstract file system interfaces for maximum flexibility:
Reading:
UrlReadFileSystem- Read from URLs (browser/Node.js)MemoryReadFileSystem- Read from in-memory buffersZipReadFileSystem- Read from ZIP archives
Writing:
MemoryFileSystem- Write to in-memory buffersZipFileSystem- Write to ZIP archives
import { Vec3 } from 'playcanvas';
import {
readFile,
writeFile,
getInputFormat,
getOutputFormat,
processDataTable,
UrlReadFileSystem,
MemoryFileSystem
} from '@playcanvas/splat-transform';
// Read a PLY file from URL
const fileSystem = new UrlReadFileSystem();
const inputFormat = getInputFormat('scene.ply');
const dataTables = await readFile({
filename: 'https://example.com/scene.ply',
inputFormat,
options: { iterations: 10 },
params: [],
fileSystem
});
// Apply transformations
const processed = processDataTable(dataTables[0], [
{ kind: 'scale', value: 0.5 },
{ kind: 'translate', value: new Vec3(0, 1, 0) },
{ kind: 'filterNaN' }
]);
// Write to in-memory buffer
const memFs = new MemoryFileSystem();
const outputFormat = getOutputFormat('output.ply', {});
await writeFile({
filename: 'output.ply',
outputFormat,
dataTable: processed,
options: {}
}, memFs);
// Get the output data
const outputBuffer = memFs.files.get('output.ply');The processDataTable function accepts an array of actions:
type ProcessAction =
| { kind: 'translate'; value: Vec3 }
| { kind: 'rotate'; value: Vec3 } // Euler angles in degrees
| { kind: 'scale'; value: number }
| { kind: 'filterNaN' }
| { kind: 'filterByValue'; columnName: string; comparator: 'lt'|'lte'|'gt'|'gte'|'eq'|'neq'; value: number }
| { kind: 'filterBands'; value: 0|1|2|3 }
| { kind: 'filterBox'; min: Vec3; max: Vec3 }
| { kind: 'filterSphere'; center: Vec3; radius: number }
| { kind: 'lod'; value: number }
| { kind: 'summary' };Configure the logger for your environment:
import { logger } from '@playcanvas/splat-transform';
logger.setLogger({
log: console.log,
warn: console.warn,
error: console.error,
debug: console.debug,
progress: (text) => process.stdout.write(text),
output: console.log
});
logger.setQuiet(true); // Suppress non-error output