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XnConvert - Photo Resize APK + MOD vv1.71 (Premium Features Unlocked, Watermark Tool Unlocked, All Output Formats Unlocked, Batch Size Limit Removed, Ads Disabled)

App Name XnConvert - Photo Resize
Publisher XnView
Genre
Size 17 M
Update Time 2025-08-20
Latest Version v1.71
MOD Info Premium Features Unlocked, Watermark Tool Unlocked, All Output Formats Unlocked, Batch Size Limit Removed, Ads Disabled
Get it On Google Play

XnConvert - Photo Resize Mod is a batch image processing utility for Android. It allows users to resize, convert, compress, and apply watermarks or text to multiple photos simultaneously. The app targets photographers, social media managers, and anyone needing efficient bulk image editing without desktop software.

What This Mod Unlocks

  • Premium features unlocked, removing all in-app purchase requirements.
  • Watermark removal tool restrictions are disabled.
  • All output format limitations (e.g., high-resolution PNG, lossless WebP) are removed.
  • Batch processing size limits are lifted.
  • Advertisements within the app interface are disabled.

The mod activates immediately upon launching XnConvert - Photo Resize Mod. No special menu or toggle is required. All previously paywalled options in the action list, such as 'Add Watermark' and 'Custom Output Template', are available from the first use.

This version requires Android 9.0 or higher. Installation requires approximately 18 MB of free storage. Root access is not required.

Installation Steps

  1. Download the modded XnConvert APK file.
  2. Enable installation from unknown sources in your Android settings.
  3. Open the downloaded file and proceed with the standard installation prompts.
  4. Launch XnConvert - Photo Resize Mod.

Known Edge Cases

  • Custom templates saved with the modded version may not be compatible with the official XnConvert app.
  • Clearing the app's data resets any user-created presets but does not relock premium features.
  • Very large batch jobs (1000+ images) may cause performance issues on devices with less than 3GB of RAM.