Want to send feedback on Google Photos?

Per the help center:

  • Open the Google Photos app on a mobile device or go to photos.google.com using a computer .
  • At the top left, touch or click the menu icon > Help & Feedback.
  • Touch or click Feedback. You can tell us things like:
    1. What you like or dislike about the app
    2. Things that are confusing or don’t work

If you check the box to include screenshots and logs, it helps us understand your feedback.

Thanks in advance!

3 thoughts on “Want to send feedback on Google Photos?

  1. Just for the record, here’s what I submitted…

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    Like many people, I’ve now uploaded all the stashes of old photos I can find, which means that I’ve now got many, many duplicates. Many of them are simply identical copies of the same image file, but hundreds more are very, very similar images that were taken at the same time. (Especially now that it’s so easy to take pictures in “burst” mode.)

    I’d _really_ love to see a couple different levels of de-duplication support:

    1) Automatic detection of identical files: Ideally, Photos would identify multiple copies of the same image (potentially whether or not some were cropped differently) — ideally, while de-prioritizing or ignoring EXIF/metadata, since that can easily get overwritten by file systems. The actual de-duping process should be like de-duping a contact, since you just have to pick one arbitrary copy of the image file, but you’d potentially have to reconcile/override some of the metadata.

    2) Automatic detection of identical images: Even better would be the ability to detect multiple copies of the same image, even when it’s been stored at different compressions/resolutions/crops. This de-duping process would have to be a little more involved, since you’d potentially have to choose _which_ specific file to use as the new canonical image.

    3) Culling down highly similar images: The ideal next step would be to have Photos identify collections of images that were all very similar, without necessarily being identical, because they had all been taken very close to one another. Granted, this would require some kind of light-table interface to compare and contrast multiple images, and choose the best version(s), but it would be enormously helpful.

    4) Integration of multiple, similar images: Finally, the ultimate answer would be to adopt some kind of technology similar to GroupShot, where users could choose the best portions of very similar images, and combine them. I understand that there might be patent issues with that specific technology, but some kind of similar capability would be enormously useful.

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