Home / Alternatives to SEEN:app Apps Like SEEN:app for iPhone and iPad
by Seen Place, LLC ★ 4.7 3 ratings Health & Fitness Free Data updated 2026-09-06
Ranked alternatives Showing 661–680 of 1,000 ranked alternatives.
Moumita Dutta
★ 5.0 1 ratings Lifestyle Free Data updated 2026-09-06
Shaun Kapla
★ 5.0 1 ratings Reference Free Data updated 2026-09-06
Senne Chin Tsoen Jien
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Soil Health ApS
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Chongqing KelangUI Tech. Co., Ltd.
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Marco Gancitano
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Andrew Titoian
★ 5.0 3 ratings Health & Fitness Free Data updated 2026-09-06
Hrithik Narendra
Track moods and record daily reflections
Write daily entries with text, voice, or image input. Track moods and emotions with customizable categories. Set reminders and reflect on entries over time. Export notes securely and manage privacy settings locally.
★ 5.0 1 ratings Lifestyle Free Data updated 2026-09-06
Raslan Rauff
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
william bertrand
★ 5.0 1 ratings Lifestyle Free Data updated 2026-09-06
Juan Sampera
★ 5.0 1 ratings Health & Fitness $2.99 Data updated 2026-09-06
Philip Kelsey
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Mehmet Can BIYIK
★ 0.0 0 ratings Photo & Video Free Data updated 2026-09-06
The World Community for Christian Meditation
★ 2.5 2 ratings Health & Fitness Free Data updated 2026-09-06
Qingdao Hailuo Technology Co., Ltd
★ 0.0 0 ratings Lifestyle $0.99 Data updated 2026-09-06
Yongye Tan
★ 5.0 1 ratings Lifestyle Free Data updated 2026-09-06
Goodman Software LLC
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Veronika Fedash
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Lucas Young
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
David Tischler
★ 0.0 0 ratings Lifestyle 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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