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  2. Google Photos' enhanced editing tools will no longer require ...

    www.engadget.com/google-photos-enhanced-editing...

    Free Google Photos users are getting its enhanced editing features without paying a minimum of $20 annually. This means all users will get a few of Google's AI-powered tools, such as Photo UnBlur ...

  3. Google brings AI-powered editing tools, like Magic Editor, to ...

    techcrunch.com/2024/04/10/google-brings-ai...

    Image Credits: Google With the expansion, Magic Editor will come to all Pixel devices, while iOS and Android users (whose phones meet the requirements) will get 10 Magic Editor saves per month.

  4. Going from fact to fiction with Picsart's AI image enhancer

    techcrunch.com/2022/06/08/zoom-and-enhance-kinda...

    Online photo editing tool Picsart today launched a new AI-powered image-enhancement tool to nudge dreams toward reality. The tool is able to offer image enhancement and upscaling that improves the ...

  5. Fotor - Wikipedia

    en.wikipedia.org/wiki/Fotor

    Fotor is a multi-platform photo editing software. It was first launched in 2012 and was dubbed "Photoshop Lite" by the BBC. Fotor's software is available on mobile devices, desktop computers, and online as a web app. It offers a suite of image editing tools and features for users to edit and enhance photos quickly and easily.

  6. List of video editing software - Wikipedia

    en.wikipedia.org/wiki/List_of_video_editing_software

    The following is a list of video editing software.. The criterion for inclusion in this list is the ability to perform non-linear video editing.Most modern transcoding software supports transcoding a portion of a video clip, which would count as cropping and trimming.

  7. Let's Enhance - Wikipedia

    en.wikipedia.org/wiki/Let's_Enhance

    Let's Enhance. Let's Enhance [1] is a Ukrainian start-up [2] which develops an online service driven by artificial intelligence which allows improving images and zooming them without losing quality. [3] According to the developers, [4] they used the super-resolution technology of machine learning. The neural network, trained on a large base of ...

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