老照片修复 - AI照片修复 app icon

Apps Like 老照片修复 - AI照片修复 for iPhone and iPad

by Changsha Junren Network Technology CoLtd★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06

老照片修复 - AI照片修复 screenshots

Ranked alternatives

Showing 1–20 of 24 ranked alternatives.

  1. 老照片修复 - 残破模糊旧照一键搞定! app icon

    老照片修复 - 残破模糊旧照一键搞定!

    彦忠 范

    Restore old photos with AI precision

    Restore old photos with AI-powered tools to remove blur, noise, and colorize black-and-white images. Adjust clarity, contrast, and brightness. Export edited photos in various formats and share directly.

    ★ 4.812 ratingsUtilitiesFreeData updated 2026-09-06
  2. 老照片修复-立等可取,旧照修复 app icon

    老照片修复-立等可取,旧照修复

    Shantu Beijing Technology Co., LTD

    Restore old photos with AI

    Use AI to enhance blurry or low-resolution photos, restore facial details, and color black-and-white images. Repair damaged photos with manual editing by professional artists. Scan old photos to convert them into clear digital images.

    ★ 4.5305 ratingsUtilitiesFreeData updated 2026-09-21
  3. 口袋神笔 app icon

    口袋神笔

    Suzhou Pocket Education Technology Co.,Ltd

    ★ 5.01 ratingsUtilitiesFreeData updated 2026-09-06
  4. 提词器Pro - 口播,直播&短视频录制 app icon

    提词器Pro - 口播,直播&短视频录制

    EMMO Corp.

    Record scripts and control playback remotely

    A speech assistant that provides AI-driven text scrolling for live streaming and video recording. Users can paste text, sync with a mobile device via Bluetooth/WiFi, customize font size, color, speed, and background transparency.

    ★ 5.04 ratingsPhoto & VideoFreeData updated 2026-09-06
  5. 图片修复-一键美化相片恢复老照片 app icon

    图片修复-一键美化相片恢复老照片

    统华 许

    Enhance photos with AI clarity

    Image restoration allows users to repair old photos, enhance details, reduce noise, and improve image quality. It supports colorization of black-and-white images, lossless zoom up to 4x, and anime-style character generation.

    ★ 5.02 ratingsProductivityFreeData updated 2026-09-06

How we rank alternatives

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