What resolution does my source photo need to be for high-quality AI results?

Quick Answer

Aim for 1500 to 2000 pixels on the long edge. Below about 500px there is not enough texture data for the AI to read the product accurately; above 4000px usually slows processing without improving the result. A clean, well-lit smartphone photo is enough for Nightjar to read the product. Focus and even lighting matter more than raw megapixel count.

The "garbage in, garbage out" rule

AI is a pattern multiplier, not a repair tool. If the source is a blurry, pixelated thumbnail, the system cannot invent the leather grain, the curve of a bottle label, or the stitching on a hem accurately. The model can only work with the detail you give it.

Minimum viable specs

• Resolution: roughly 1080p (about 2 megapixels) on the long edge.
• Focus: sharp. Motion blur cannot be recovered.
• Lighting: even and bright, with no deep shadows hiding the product.
• File format: JPEG, PNG, or WebP, up to 25MB per file.

Does higher resolution help?

Returns diminish past about 2500px on the long edge. Image models work at a fixed internal size and resize the input first, so uploading a 50MB raw file mostly wastes bandwidth without changing the output.

The exception is when you plan to use the source as a reference for fine detail (for example, a watch face or a complex pattern). In those cases more pixels in the source give the model more to preserve.

What matters more than pixels

Resolution is a baseline. The bigger lever for quality is the visual direction you give the system.

Nightjar treats reusable visual direction as a first-class control. A Photography Style is a saved direction for camera, lighting, mood, and color scheme that you apply across products instead of re-describing the look in every prompt. Upload a reference image of the look you want (for example, a soft daylight tabletop scene or a deep-shadow studio shot), save it as a Photography Style, then reuse it across the catalog.

• A clear reference image carries the lighting setup and camera language.
• That setup is then applied to your product image, so the result feels intentional rather than random.

What if my source is already low resolution?

Nightjar has a Workflow called Upscale that brings an existing image to a 2K (2048px long edge) or 4K (4096px long edge) target. Upscale is preservation-first: it is designed to keep product content, color, text, logos, and structure intact rather than reinterpreting the image. It does not invent missing detail. A blurry source will still look soft after Upscale, just at a higher pixel count.

The practical order: shoot or source the cleanest image you can, generate inside Nightjar, then run Upscale at the end of the pipeline if you need 2K or 4K output for marketplace zoom or print.