Download and install the latest version of Filestar.
Right click on one or more Ora file(s) on your desktop and select Convert with Filestar.
Type convert to lss in the search box.
Press Convert.
Or let an AI agent do it: filestarcli -i photo.ora -c "convert to lss" (how).
Documents - File Explorer─☐✕
This PC › Documents
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Desktop
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.oraContract.ora
.xlsxBudget.xlsx
.pdfReport.pdf
.pngLogo.png
Filestar*Help✕
Drop files here to get started
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Let your AI agent convert ORA to LSS
Claude Code, Codex, Cursor and other agents can do this on your computer with Filestar. Your files stay on your machine.
Install Filestar and add it to your agents:
npm install -g filestar
filestarcli agent install
Then ask your agent:
“Convert the ORA files in my Downloads folder to LSS”
Or run it yourself:
filestarcli -i photo.ora -c "convert to lss"
Runs on your computer, so your files stay on it. Works on Windows, macOS and Linux. 50 free conversions with the npm install, no account needed.
Can my AI agent convert ORA to LSS?
Yes. Install the Filestar CLI with npm install -g filestar and your agent can run filestarcli -i photo.ora -c "convert to lss" on your computer, so your files stay on it.
The OpenRaster Image File format was created by the OpenRaster project.
Description
Image file saved in the OpenRaster format, and open raster graphics format that supports multiple layers; supports multiple layers and contains both image data and metadata, including XMP and EXIF tags.
The LSS16 file type is associated with the 16-bit version of the Lossless Simple Storage format, which is a type of data file used to store images in a lossless compression format. This means that when images are compressed to LSS16 files, there is no loss in image quality, allowing for exact reconstruction of the original image. It is designed to efficiently store graphical data, especially for applications where preserving the original image fidelity is crucial. The "16" in its name refers to the bit depth of the images it stores, indicating that it can support up to 16 bits per color channel, providing high color accuracy and detail.
