It turns out that ``editing magic'' that can erase or enlarge objects in Google Photos cannot be used with licenses and receipts
In the Google Photos app for Pixel 8 and Pixel 8 Pro, you can use 'editing magic' that allows you to delete objects in images, and to enlarge or reduce them. However, it has become clear that the use of editing magic is restricted for some subjects such as driver's licenses.
Google Photos' Magic Editor will refuse to make these edits
According to overseas media Android Authority, the following error message was discovered in version 6.60 of the Google Photos app for Android. The error message states that Google Photos cannot edit subjects that violate the generated AI-related terms of use, such as 'identity verification documents' and 'receipts.'
<string name='photos_photoeditor_udon_cannot_edit_document_photo_dialog_text'>Magic Editor can't edit photos of ID cards, receipts, and other documents that violate Google's GenAI terms. Try Magic Editor on a different
photo.</string>
In order to see what would happen if I tried editing an identity verification document with editing magic, I took a picture of a driver's license with Pixel 8 Pro and tried editing magic. First, open the image in Google Photos and tap 'Edit'.
Next, tap the button surrounded by a red frame at the bottom left of the screen to start editing magic.
The Edit Magic screen was displayed without any problems, so I reduced the size of the driver's license and tapped the image output button at the bottom right of the screen.
Then, at the final stage of image output, a dialog saying 'The operation cannot be completed' was displayed. Since the only option in this dialog is 'OK', it is not possible to output the image.
As mentioned above, it was not possible to edit a photo of a driver's license using editing magic, but it was possible to edit and output a photo of a 7-Eleven receipt. However, since an error message was displayed on the driver's license, it seems likely that editing the receipt will become impossible in the future as image detection capabilities improve.
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