Former TikTok executives Melody Chu and Jing Liu have developed an iOS app called Superpose, which uses artificial intelligence to help users learn how to pose for photos. The app functions as a camera tool that allows users to take selfies or pictures of others, and then generates four AI-driven pose suggestions, ranging from simple to more extravagant. Users can save these poses or use a match-pose feature that guides them to position themselves similarly within the frame.

Superpose emerged from a personal challenge Chu experienced with getting flattering photos from her husband, inspiring her to leverage advancements in computer vision and generative AI for a solution. Chu’s extensive background includes product roles at Meta, Nextdoor, Roblox, TikTok, and Slack, while Liu brings experience as a founding engineer at a 3D face-scanning startup and work on image and video modeling at TikTok. The app was launched in July 2026 and has since been downloaded over 22,000 times, with users generating more than 190,000 poses.

The app offers a freemium model, providing five free pose generations per day with the option to purchase additional generations in packs priced at $2.99 for five or $9.99 for twenty. Superpose aims to specialize in AI-guided portrait photography without venturing into AI-generated backgrounds or fantasy imagery, focusing instead on capturing authentic, real-life moments. The team acknowledges some AI-generated poses may appear uncanny but is actively working on improving the style, personalization, and direct coaching features in the app.

Superpose has secured $2.2 million in funding from investors including Khosla Ventures, Meitu — a Chinese smartphone and selfie app maker — and OVTR VC. The founders are committed to refining the user experience to make AI pose guidance a useful and natural element of everyday photography. As AI continues to influence photography tools, Superpose positions itself as a dedicated app for enhancing how users frame themselves in portraits through intelligent AI assistance.