[Feature] extract text from image

solonovamax commented 2 months ago

Checklist

[X] I made sure that there are no existing issues - open or closed - to which I could contribute my information.
[X] I made sure that there are no existing discussions - open or closed - to which I could contribute my information.
[X] I have read the FAQs inside the app (Menu -> About -> FAQs) and my problem isn't listed.
[X] I have taken the time to fill in all the required details. I understand that the bug report will be dismissed otherwise.
[X] This issue contains only one feature request.
[X] I have read and understood the contribution guidelines.
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Feature description

Extract text from any given image, then allow the user to select and copy the text.

Why do you want this feature?

My built-in screenshot app has a feature that does this, which I find myself using decently often. especially when adding alt-text for posts on fedi

Additional information

Here is an example from my built-in screenshot app:

https://github.com/user-attachments/assets/aac2cbe0-7116-4a03-b06e-b8522a779914

Note: this is not using some hack, such as the android accessibility api, but instead truly extracting text from the image. You'll notice that it extracts the text from the "H", "B", and "I" icons in the video. Although not shown in the video, it can also extract the text from a normal image.

chesio commented 2 months ago

I know the app has no longer "Simple" in its name, but I personally think this is out of scope for a "simple" gallery app.

solonovamax commented 2 months ago

I know the app has no longer "Simple" in its name, but I personally think this is out of scope for a "simple" gallery app.

Hmmm, that is quite fair.

but at least with the issue here, if it's decided to be out of scope, then at least the issue exists for others who search for it.

naveensingh commented 2 months ago

I personally think this is out of scope for a "simple" gallery app.

I agree. There's also the problem of app size increase due to ML models. Google's MLKit based text recognition models average around 4 MB per script.

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