Cloud Release Version History

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Cloud

Release Version History

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August 2026

Cloud Demo

  • •
    Retouching 2.0 is now available to demo in Cloud
  • •
    Presets, all Creative LOOKs, and full upscaling options are now available
  • •
    New “storing” limits in the Demo – ‘Open Recent’

Cloud Jobs

  • •
    AI Shadows option added to Background Replacement

WebAPI

  • •
    Bug fixes and infrastructure updates

Playground

  • •
    Image Scoring Tool is now available

July 2026

  • •
    Bug fixes and UX optimizations.
  • •
    New users as at July 14, 2026, are automatically enrolled in the Free plan upon sign up, with immediate access to both Demo and Cloud Jobs for testing.
  • •
    Users can now self-upgrade to a paid monthly tier by credit card without contacting the Sales team.
  • •
    Users can now download a lower-res version of their correction in the Cloud Demo.

June 2026

  • •
    Switch between AI Models in Cloud Demo.

May 2026

  • •
    Background Replacement with a solid colour and provided image are live.
  • •
    Cloud Jobs includes Webhooks, allowing you to provide a URL in the WebAPI call. When the image completes processing, it sends the JSON status output to the webhook URL.

April 2026

  • •
    Downscale is now free and separated from upscaling in Cloud Jobs.
  • •
    Attractions & Cruise Lines AI Model is available.
  • •
    Bug fixes:
    • •
      Faster initial load time.
    • •
      Proper UI rendering for consistency across different screens.

January 2026

  • •
    Cloud Jobs UX improvements.
  • •
    Expired Jobs are now on a separate tab, making the organization of Jobs easier to see.
  • •
    A step-by-step onboarding tutorial now walks users through the Cloud demo.
  • •
    Glasses Glare Detect only is available.
  • •
    Preview your Cloud Jobs corrections on the Jobs page before processing.

December 2025

  • •
    Auto Crop ‘detect only’ is now available.
  • •
    AI Image Upscaling auto detector intelligently analyzes the image type and automatically selects the appropriate upscaling model.