M/Log app icon

Apps Like M/Log for iPhone and iPad

by Xuxin Zhang★ 5.02 ratingsPhoto & VideoFreeData updated 2026-09-06
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Ranked alternatives

Showing 261–280 of 1,000 ranked alternatives.

  2. photo enhancer&photo unblur app icon

    photo enhancer&photo unblur

    Yu Abe

    Enhance photos, upscale images, boost resolution, denoise

    Convert low-quality photos to high-resolution images with clarity and detail. Upscale photos to maintain sharpness. Boost resolution for clearer images. Apply denoising to reduce grain and enhance visual quality.

    ★ 4.5124 ratingsPhoto & VideoFreeData updated 2026-09-06
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  1. ByePic app icon

    ByePic

    Shanghai Xuanxiang Zhixin Technology Co., Ltd

    ★ 5.01 ratingsUtilitiesFreeData updated 2026-09-06
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  8. Clique - Group Social app icon

    Clique - Group Social

    Clique Limited Liability Corporation

    Post photos, videos, and stories

    Create groups to share photos and organize them into collections. Post photos publicly or privately. Invite friends to join groups and view shared content. Build a personal archive of meaningful moments.

    ★ 5.016 ratingsSocial NetworkingFreeData updated 2026-09-06
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  14. PicPurge: Clean Similar Photos app icon

    PicPurge: Clean Similar Photos

    Serdar Yazici

    Organize and remove duplicates

    Organize photo libraries by identifying and removing duplicate images. Select albums to scan, set similarity thresholds, and review duplicates for deletion. Syncs across devices and supports batch processing.

    ★ 0.00 ratingsPhoto & VideoFreeData updated 2026-09-06
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  15. Lumio: Photo Cleaner & Manager app icon

    Lumio: Photo Cleaner & Manager

    海涛 于

    Organize photos by size, time, and type

    Organize photos by swiping to trash or compress. Clean camera roll and file folders from USB/SD cards. Sort by album, month, size, or duplicates. Process photos offline without cloud storage.

    ★ 4.925 ratingsPhoto & VideoFreeData updated 2026-09-06
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How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.