Valentine's Day Romance, Expressing Love in 100 Languages: Designed specifically for Valentine's Day, the puzzle features "I Love You" printed in 100 languages, each piece imbued with love. The puzzle process is like unlocking romance, and the finished piece is both a keepsake and a unique way to express your deep affection, perfectly capturing Valentine's Day's emotional needs. Wood Craftsmanship, Texture and Fun: Uniquely shaped cuts break the traditional puzzle form, enhancing the fun of building. Crafted from natural wood, the pieces feature smooth, burr-free edges and a delicate, textured, soft pink coating that resists fading and warping, ensuring love lasts longer. Adaptable size + bracket assistance, flexible and worry-free use in any scene: The finished product is 19×19cm (7.5×7.5in), which is of moderate size. When paired with the bracket, it can be easily placed on any flat face such as a bedside table, desktop, or workstation. It does not take up space and the display effect is more three-dimensional. It can not only convey love at all times, but also become a romantic decorative highlight in the space. Interactive Building, Deepening Connection: Building together as a couple strengthens understanding and strengthens relationships. Gifting a completed puzzle individually is more thoughtful than simply giving the finished piece. The immersive building process allows love to become more genuine through focused attention. A must-have Valentine's Day gift, maximizing the sense of ceremony: Black gift box pakaged. The pink heart and "I love you" in 100 languages ​​perfectly complement the Valentine's Day atmosphere. Eschewing traditional gift cliches, this handmade gift conveys personal care and thoughtfulness, making it both elegant and memorable. Package include: 1*wooden puzzle Notes: 1. Due to various factors such as monitor brightness and light brightness, the actual color of the product may be slightly different from the picture displayed on the website. 2. Please allow for slight manual measurement bias in the data.