YOSH TPU Waterproof Phone Pouch, 2 Pack Crossbody Waterproof Phone Case, IPX8 Underwater Case for Swimming for iPhone 17 16 15 14 Plus 13 Pro Max Samsung S25 S24 23 S22 Xiaomi 15 Huawei up to 7.5"

Product Features

• Cautions: 1. Before use, place a tissue inside the case to perform a 30-minute waterproof test. 2. Use the volume buttons to take pictures underwater. 3. Please remove the phone case before placing the phone into the pouch. 4. Rinse with water after use
• YOSH Upgraded Waterproofness: The upgraded designed waterproof not only has a more waterproof internal structure, but also a more premium texture. Every YOSH waterproof case has been tested under water at 30 meters depth for half an hour before delivery
• Highly Sensitive TPU Material: YOSH waterproof phone case uses soft TPU material instead of cheaper PVC, providing a better touch experience and clearer views. The TPU material is durable, flexible, lightweight, and has better waterproof performance
• Adjustable Dual Lanyard: The new lanyard features a stronger hook and a more comfortable, skin-friendly and anti-wrap strap, can be wore around your neck or crossbody. Perfect for swimming, diving, snorkeling, underwater photography, spearfishing, etc
• Seamless Design and Side Button Friendly: The side seamless design makes the pouch sturdy, crack-resistant, and more waterproof with innovative heat-pressing technique. You can easily access the side buttons, ensuring you never miss any important moments
• Universal Compatibility: YOSH TPU waterproof phone pouch is compatible with phones up to 7.5 inches, for iPhone 17 16 15 14 13 12 Pro Max Samsung S25 S24 S23 S22 ultra, for Huawei, for Sony Xperia, for Google Pixel 10 9 Pro XL 8 Pro, for Xiaomi, etc.
• Note: 1. Fingerprint unlocking is not supported 2. Internal fogging due to temperature change is normal 3. Keep the case and phone dry by wiping before/after use 4. Insert a paper card between phone and case to prevent sticking during use 5. After inserting phone, press firmly to expel air for proper screen/face ID function