MarketShot AI

Source photo guide

How to Take Product Photos With a Phone

A good product source photo is a clean, well-lit shot that gives AI edits a reliable product reference. Better source photos reduce edge errors and preserve labels, so scene generation starts from accurate pixels.

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By MarketShot AI Team

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How to Take Product Photos With a Phone example

Marketplace image pack

Primary + 4 lifestyle assets

What is the best phone lighting for product photos?

The best lighting is broad, indirect light — place the product near a window or a large diffused source and avoid mixed color temperatures and hard reflections across labels. Good light is what lets the background remover and editor keep edges clean.

The cheapest upgrade to your product photos is the light you already have: a window beats most onboard flashes.
  • Clean the lens
  • Use the main camera
  • Leave space around the product

How do you capture a dependable angle?

Keep the camera level, make the main label readable, and take a second angle for quality comparison when the product is reflective. A level, label-forward shot gives AI edits a reliable reference and reduces distortion.

  • Level the camera
  • Lead with the main label
  • Add a reflectivity check angle

Sources and further reading

Verify current marketplace rules and image standards at the official sources below.

Frequently asked questions

Common questions about How to Take Product Photos With a Phone

What is the best lighting for product photos with a phone?

The best lighting is broad, indirect light — place the product near a window or a large diffused source and avoid mixed color temperatures. Good light lets background removal and editing keep edges clean.

How do I take a good product photo with my phone?

Keep the camera level, make the main label readable, leave space around the product, and take a second angle for reflective items. A clean, label-forward shot gives AI edits a reliable reference.

Why does source photo quality matter for AI edits?

Better source photos reduce edge errors, preserve labels, and give scene generation a more reliable product reference, so the final marketplace images stay accurate.

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