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Layerhand
AI retouching that returns a layered PSD, not a flat JPEG
Layerhand retouches a photograph inside Photopea, a real image editor you watch, instead of returning a generated picture. GPT-6 Astra operates the toolbar the way a retoucher would, one step at a time, and you watch it happen. Type a mid-run correction while it still works and later steps bend around that note instead of restarting the run. The download is a layered PSD with named layers, editable masks, and adjustments still yours to change, plus a flattened PNG preview.
Most AI photo tools hand you pixels you cannot change, so I stopped generating images and taught Astra to use a real image editor instead.
What inspired the build was a constraint that looked like a fence. GPT-6 Astra is text-output only: it cannot generate an image. Route around that, and the limitation becomes the product. An image model returns flattened pixels. An agent operating a real editor returns an edit history: named layers, masks, and adjustments a retoucher can still change. No diffusion model can emit that artifact, because a layer stack is not an image.
The problem is not quality. Commercial retouching is done by hand, inside a dense professional GUI, one photograph at a time. Almost every AI tool aimed at that work returns a flattened JPEG. That is fine until the client asks for one more change, and they always do. A flat file cannot absorb the request, so the retoucher starts again. The AI saved nothing, because it did not produce the document the workflow actually runs on.
The approach evolved through ten rounds of ideation. Desktop computer use died on scope. Hosted-browser computer use survived, then mid-turn steering survived as the only other primitive a user can feel. Crossing them pointed at Photopea: web professional software with no public API. Driving its toolbar through forty-plus steps is the long-horizon GUI task the OSWorld jump measures. Swapping Astra for another model does not degrade Layerhand. It removes the product, because the agent cannot finish the run, and there is no layered file.
So the work narrowed to three properties: the output is editable, the work is visible, and the work is steerable. You watch Photopea being operated. You type a correction mid-run and later steps bend instead of restarting. You download a PSD that still opens in Photoshop, Affinity Photo, GIMP, or back in Photopea. Three free runs, no account. A run takes a few minutes, and the step count is capped.
About Layerhand on Product Hunt
“AI retouching that returns a layered PSD, not a flat JPEG”
Layerhand was submitted on Product Hunt and earned 0 upvotes and 1 comments, earning #3 Product of the Day. Layerhand retouches a photograph inside Photopea, a real image editor you watch, instead of returning a generated picture. GPT-6 Astra operates the toolbar the way a retoucher would, one step at a time, and you watch it happen. Type a mid-run correction while it still works and later steps bend around that note instead of restarting the run. The download is a layered PSD with named layers, editable masks, and adjustments still yours to change, plus a flattened PNG preview.
On the analytics side, Layerhand competes within Photography, Artificial Intelligence, GitHub, Photo editing and OpenAI Day — topics that collectively have 665.4k followers on Product Hunt. The dashboard above tracks how Layerhand performed against the three products that launched closest to it on the same day.
Who hunted Layerhand?
Layerhand was hunted by . A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Layerhand including community comment highlights and product details, visit the product overview.
