HSI Studio — Free In-Browser Hyperspectral Image Viewer & Analysis Interface
HSI Studio is a free, high-performance web tool to upload, visualize, and analyze hyperspectral datacubes directly in your browser. Zero installation required. 100% private and client-side—your data never leaves your machine.
Supported Hyperspectral Formats
- ENVI Header & Binary (.hdr, .dat, .raw, .bil, .bip, .bsq)
- NumPy Compressed Archives (.npz, .npy)
- MATLAB Datasets (.mat)
- TIFF & Multi-Page GeoTIFF (.tif, .tiff)
- CSV Spectral Libraries with wavelength calibration
- Built-in Benchmark Datasets (Indian Pines, Salinas Scene, Hyperleaf 2024)
Key Analysis & Visualization Features
- Interactive Spectral Profiler: Click anywhere on the datacube to extract reflectance curves across all bands with high-resolution graph exports.
- Principal Component Analysis (PCA): Compute eigenvectors and eigenvalues to reduce spectral dimensionality and isolate variance across datacubes.
- K-Means Unsupervised Clustering: Segment materials, land cover, crops, or minerals automatically by spectral similarity.
- Custom Band Math & Derived Indices: Calculate NDVI, NDRE, EVI, band ratios, and custom algebraic formulas in real-time.
- RGB & False-Color Composites: Generate True Color (RGB), Near-Infrared (NIR), Short-Wave Infrared (SWIR), and custom false-color band renderings.
- Magic Wand & ROI Extraction: Select continuous regions of interest by spectral tolerance and batch-export spectral signatures.
- Machine Learning Hub: Train Partial Least Squares (PLS) regression and Random Forest classification models on hyperspectral data.
- Kaggle Integration: Connect directly to Kaggle datasets to sync, stage, and analyze hyperspectral imagery.
Learn More About Hyperspectral Imaging
Discover how hyperspectral imaging differs from standard RGB photography, its practical applications in agriculture, food quality, and remote sensing, and file formats in our comprehensive guide: What is Hyperspectral Imaging? RGB vs HSI Explained.