Download and install the latest version of Filestar.
Right click on one or more Hdru file(s) on your desktop and select Convert with Filestar.
Type convert to dcm in the search box.
Press Convert.
Or let an AI agent do it: filestarcli -i photo.hdru -c "convert to dcm" (how).
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Let your AI agent convert HDRU to DCM
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 HDRU files in my Downloads folder to DCM”
Or run it yourself:
filestarcli -i photo.hdru -c "convert to dcm"
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 HDRU to DCM?
Yes. Install the Filestar CLI with npm install -g filestar and your agent can run filestarcli -i photo.hdru -c "convert to dcm" on your computer, so your files stay on it.
The Apollo HDRU (High Dynamic Range Image) file type, with the extension .hdru, is a specific format used for storing high dynamic range (HDR) images. These files are designed to capture a broader range of brightness and color levels than standard digital imaging formats, allowing for more detailed and realistic representations of scenes with significant contrasts in lighting. The Apollo HDRU format is particularly used within the realm of digital photography, computer graphics, and advanced imaging applications where capturing the fullest possible range of light information is crucial. This format helps in preserving the quality of images for professional editing, rendering, and display purposes, ensuring that details in both the brightest and darkest areas of a photo are maintained.
A DCM file is an image file saved in the Digital Imaging and Communications in Medicine (DICOM) image format. It stores a medical image, such as a CT scan or ultrasound. DCM files may also include patient information to pair the image with the patient.