Home / Alternatives to Saveful Apps Like Saveful for iPhone and iPad
by Saveful Worldwide Pty Ltd ★ 0.0 0 ratings Education Free Data updated 2026-09-06
Ranked alternatives Showing 441–460 of 1,000 ranked alternatives.
Techne Coding LLC (N.C.)
Plan meals, schedule recipes, create grocery lists
Plan meals with personalized recipes from various sources. Schedule weekly meals and generate automatic grocery lists. Save time and reduce food waste by organizing ingredients and times efficiently.
★ 5.0 7 ratings Food & Drink Free Data updated 2026-09-06
Tasty Eats Online Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DuckMa Srl
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Chetan Siddhardh Muvvala
★ 5.0 5 ratings Food & Drink Free Data updated 2026-09-06
Kamaldeep Jayaprakash
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Mimi's Kitchen, INC.
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Maciej Sosnowski
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Coding Minds, Inc.
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Elijah Strauss
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Pravinkumar Parmar
★ 4.0 3 ratings Food & Drink Free Data updated 2026-09-06
wololo GmbH
★ 4.8 6 ratings Food & Drink Free Data updated 2026-09-06
NOWCAST, LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
ALL T&M SP Z O O
★ 4.0 3 ratings Food & Drink Free Data updated 2026-09-06
Ramakrishnan Visvesvaran
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ananya Kharbanda
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
mostafa mahmoud
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Tamoor Farid
★ 3.0 1 ratings Games Free Data updated 2026-09-06
Upasna Singh
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
orbit itech ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
TARITAS SOFTWARE SOLUTIONS PRIVATE LIMITED
★ 1.0 1 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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