PicOnTap
VerifiedEdit photos by describing the change in plain language
Product preview
PicOnTap
What it is
PicOnTap is a web-based image editor driven by text instructions. Users upload a JPG, PNG or WebP photo up to 10 MB, describe what they want changed, and an AI model applies the edit. Common tasks include removing objects or people with matching background fill, replacing backgrounds, recoloring details, restoring old photos and reducing glare or shadows. A brush lets users limit an edit to one area, and a comparison slider shows results against the original while earlier versions stay available. Users can choose among several image models, including GPT Image, Nano Banana and Seedream. Free daily credits reset each day, and paid plans add monthly credit allowances.
Key features
- Text-prompted photo edits
- Brush to limit edits to an area
- Before and after comparison slider
- Choice of several image models
What we liked
- + Free daily credits
- + Multiple leading models in one editor
- + Keeps earlier versions of each edit
Worth noting
- · Free allowance is only 2 credits a day
- · Uploads are capped at 10 MB
Editor's notes
More context from AI BirdView
Many photo fixes are simple to describe but fiddly to do by hand, like removing a stranger from a travel shot or cleaning up an old family print. PicOnTap lets you type the change and pick the model that handles it, instead of learning layers and masks. It also shows the credit cost before you submit an edit, so there are no surprises.
- Plain-language edits for removal, recoloring and background swaps
- Area brushing for local changes when a global edit is too broad
- Restoration tools for scratches, fading, glare and shadows
- Several models available, including GPT Image, Nano Banana and Seedream
- A comparison slider and saved version history
PicOnTap is best for online sellers, social media creators and anyone restoring personal photos who wants quick edits without design software. A practical tip: brush over the exact area you want changed for small fixes, since a tighter selection helps keep the rest of the image untouched. Trying the same edit with two different models is also worthwhile, since each one handles faces, text and fine detail a little differently.
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