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Convert to highly compressible JPEG-R (JPEG with gain maps) for efficient HDR storage. Powered by [hdrify](https://www.npmjs.com/package/hdrify).\n\n**Related packages:** [hdrify](https://www.npmjs.com/package/hdrify) (core library) · [hdrify-react](https://www.npmjs.com/package/hdrify-react) (React component)\n\nAn **online demo** is available at **[https://hdrify.ben3d.ca](https://hdrify.ben3d.ca)** — HDR, EXR, and Ultra HDR viewer and converter; try it in your browser without installing the CLI.\n\n## Installation\n\n```sh\npnpm add -g hdrify-cli\n```\n\n## Usage\n\n| Command                           | Description                                                  |\n| --------------------------------- | ------------------------------------------------------------ |\n| `hdrify convert <input> <output>` | Convert between EXR, HDR, JPEG gain map, PNG, WebP, and JPEG |\n| `hdrify info <file>`              | Display metadata (format, dimensions, compression)           |\n| `hdrify reference <output>`       | Create synthetic reference test images                       |\n\n```bash\n# Convert between formats\nhdrify convert input.exr output.hdr\nhdrify convert input.hdr output.exr --compression piz\nhdrify convert input.exr output.jpg    # JPEG-R with gain map (Ultra HDR, default)\nhdrify convert input.exr output.jpg --format adobe-gainmap\nhdrify convert input.jpg output.exr    # Read JPEG gain map as input\nhdrify convert input.exr output.webp   # Tonemaps to SDR\nhdrify convert input.exr output.exr --size 1024,512    # Resize (lanczos by default)\nhdrify convert input.exr output.png --size 512 --filter bilinear  # Square, bilinear\nhdrify convert input.exr output.exr --flip -1,1        # Mirror horizontally\nhdrify convert input.exr output.exr --flip 1,-1        # Mirror vertically\n\n# View file metadata\nhdrify info input.exr\nhdrify info input.hdr\nhdrify info input.jpg\n\n# Create synthetic reference images\nhdrify reference output.exr --compression zip\nhdrify reference output.hdr\nhdrify reference output.exr --type cie-wedge\nhdrify reference output.hdr --type gradient\n```\n\n## Options\n\n**convert:** `--compression` (EXR: none, rle, zip, zips, piz, pxr24, b44, b44a, dwaa, dwab), `--format` (JPEG: ultrahdr, adobe-gainmap), `--tonemapping`, `--exposure`, `--quality`, `--size` (`WIDTH,HEIGHT` or `SIZE` for a square), `--filter` (resize filter: nearest, bilinear, lanczos; default: lanczos), `--flip` (`X,Y`, each `1` or `-1`, e.g. `-1,1` to mirror horizontally)\n\n**reference:** `--type` (rainbow, cie-wedge, cie-wedge-r, cie-wedge-g, cie-wedge-b, gradient), `--compression`, `--width`, `--height`\n\nRun `hdrify --help` for full usage.\n\n## License\n\nMIT\n\n## Author\n\n[Ben Houston](https://ben3d.ca), Sponsored by [Land of Assets](https://landofassets.com)\n\n[npm]: https://img.shields.io/npm/v/hdrify-cli\n[npm-url]: https://www.npmjs.com/package/hdrify-cli\n[npm-downloads]: https://img.shields.io/npm/dw/hdrify-cli\n[npmtrends-url]: https://www.npmtrends.com/hdrify-cli\n[tests-badge]: https://github.com/bhouston/hdrify/workflows/Tests/badge.svg\n[tests-url]: https://github.com/bhouston/hdrify/actions/workflows/test.yml\n[coverage-badge]: https://codecov.io/gh/bhouston/hdrify/branch/main/graph/badge.svg\n[coverage-url]: https://codecov.io/gh/bhouston/hdrify\n","readmeFilename":""}