Home / Alternatives to PKU Apps Like PKU for iPhone and iPad
by Maik Barz ★ 4.0 2 ratings Health & Fitness Free Data updated 2026-09-10
Ranked alternatives Showing 921–940 of 1,000 ranked alternatives.
Sopamo GmbH
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-12
Botisan AI Pte. Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Michael Nguyen
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Doc Bear Enterprises, LLC.
Scan receipts, track ingredients, plan meals
Manage food inventory by scanning receipts or adding items manually. Search and import recipes from social media videos. Use voice commands to analyze ingredient nutrition. Scale recipes using AI adjustments based on available ingredients.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
RAHI PATEL
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-11
JULIEN ARTHUR CLYDE ANSTETT
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Asmitaben Viradiya
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Richard Schoerner
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
MIRACLE MARGARET TE WAIRINGIRINGI GREEN WILLIAMS
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Pavel Arkhipau
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
MGA Companies Pty Ltd
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Tamoniv AB
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Axel Bennani
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Berend Hartman
★ 0.0 0 ratings Food & Drink $0.99 Data updated 2026-09-06
PubQ AB
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PubQ AB
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Julius Aboagye
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
Fudmap Private Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Taliup Inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Vo Minh Tuan Nguyen
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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