Ideogram AI Just Fixed Its Biggest Problem (New Background Remover Update)

About this video

RJ tests Ideogram AI’s updated background remover, which he describes as a generative background remover rather than a segmentation model, noting it can be connected via API for workflow automation. He cites Ideogram’s comparison pricing at 1 cent per image versus PhotoRoom at 0.005 per image via API, and says it should be included with a subscription. Inside Ideogram he generates several t-shirt designs from prompts — ‘just a girl who loves K-pop,’ ‘my weekend is fully booked’ for book lovers, a ‘poop fairy’ remix, a ‘most likely to spend Christmas with Santa’ design, and a small dog riding a fish — then clicks Remove BG on each. He reports clean results across the tests, including around varied colors, text and fine lines, and counts himself as five-for-five, though he notes one result kept some surrounding water/cloud elements where he mainly wanted the central character. He says the update could save the extra 15 to 30 minutes he would normally spend cleaning up designs around lettering and graphics, letting sellers get products up faster, and recommends viewers test it themselves.

Key takeaways

• Ideogram’s updated remover is presented as generative, not a segmentation model, and can be used via API for automation.
• He cites API pricing of 1 cent per image for Ideogram versus 0.005 per image for PhotoRoom, with remover access included in a subscription.
• To test it, generate or remix a design in Ideogram and click ‘Remove BG’ in the corner of the image.
• In his tests on K-pop, book-lover, fairy, Santa and dog-on-a-fish designs, the remover handled colors, text and fine lines cleanly.
• He says a good remover can save 15-30 minutes of manual cleanup per design and speed up getting products listed.

Episode details: published May 10, 2026 · 10:58 long. Summary written by Self Growth Videos from the episode itself. Business results and any income figures mentioned are RJ Martinez’s own claims, shared for education — they are not typical or guaranteed.

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