Superpose Is the AI Camera App Founded by Former TikTok Employees

Getting someone to take a photo of you should be simple. In reality, the person behind the camera might stand in the wrong place, miss the best lighting or have absolutely no idea what you should do with your hands.

Superpose is trying to fix that with AI.

Founded by former TikTok employees Melody Chu and Jing Liu, Superpose is an AI-powered camera app designed to help people take better portrait photos while they are actually taking them. Instead of simply editing a bad photo afterward, the app can suggest poses and provide guidance on lighting, framing and composition.

The startup received wider attention in September 2026 after quietly building its user base during the summer. By September 15, TechCrunch reported that Superpose had already been downloaded more than 22,000 times, with users generating more than 190,000 poses.

An AI Photographer in Your Pocket

Superpose starts with a familiar problem: most people aren’t professional photographers.

Take a photo inside the app and Superpose can generate four alternative pose ideas based on the person and the setting. Pick one you like and the app can then help you recreate it in the real world.

Its coaching isn’t limited to telling the subject how to stand. Instructions can be split between the person being photographed and the photographer, with suggestions covering details such as hand placement, shoulder position and chin angle.

There is also a Match Pose feature that places an outline over the camera view, making it easier to position yourself like the suggested pose.

Superpose can also check lighting, framing and composition directly through the camera, giving users guidance before the shutter is pressed. According to the company, this real-time camera guidance runs directly on the device.

Superpose Doesn’t Want to Invent Your Vacation

The distinction becomes more interesting when you look at what Superpose doesn’t want to become.

Generative AI photo apps can put users in clothes they never wore, locations they never visited and situations that never happened. Superpose is taking a different approach.

The company wants AI to help capture the moment that actually happened.

Co-founder Melody Chu told TechCrunch that Superpose wants to concentrate on real-life portrait photography rather than generating artificial backgrounds and fantasy locations.

The idea is to use AI more like a photographer giving directions behind the camera than an image generator creating an entirely new scene.

It Started With a Husband Who Took Bad Photos

The idea came from a surprisingly ordinary problem.

Chu told TechCrunch that her husband was terrible at taking photos of her. She wondered whether advances in computer vision and generative AI could solve the problem and eventually decided to build a product around it.

She also brought substantial experience from the creator economy.

Before Superpose, Chu held product roles at companies including Meta, Nextdoor, Roblox, TikTok and Slack. At TikTok, she launched the company’s Creator Marketplace.

Co-founder Jing Liu brings the technical side of the equation. Before Superpose, Liu worked on image and video models at TikTok and was previously a founding engineer at 3D face-scanning startup Bellus3D.

Together, the founders combine experience in two areas particularly relevant to the product: AI-powered imagery and how people create and share visual content.

Superpose Was Building Before Its Big Announcement

September 2026 shouldn’t be confused with the app’s first appearance.

TechCrunch describes Superpose as having launched in July. Apple’s App Store history, however, shows that version 1.0 was released on May 18, followed by several updates throughout June before another series of updates arrived in July and August.

That suggests the product was already being released and iterated on before its larger public push later in the year.

The September attention also came with the disclosure that Superpose had raised $2.2 million from Khosla Ventures, Meitu and OVTR VC.

The investor mix is particularly relevant to what Superpose is building. Khosla Ventures has backed companies across technology and AI, while Meitu is known for its photo and beauty apps.

Free to Try, Then Pay for More Shots

Superpose is free to download and doesn’t currently rely on a traditional monthly subscription.

Users receive free daily Shot Packs. Each Shot Pack contains four generated pose references, and people who want more can purchase additional packs.

The US App Store currently lists a Starter Pack containing five Shot Packs for $2.99 and a larger 20-pack option for $9.99. These are one-time purchases rather than recurring subscriptions, and the company says purchased packs don’t expire. Prices can vary by region.

Privacy is particularly relevant for an app that processes photographs. Superpose says its real-time camera guidance happens on the device. Cloud-based features require photos to be sent securely to an AI provider for processing, but the company says those photographs aren’t used to train AI models.

AI Camera Coaching Is Becoming a Category

Superpose isn’t the only company experimenting with AI that helps before a photograph is taken.

Google has introduced Camera Coach features on Pixel phones, while Adobe has experimented with AI-powered photography guidance that can critique photographs and suggest improvements.

Superpose is taking a narrower route by building its product specifically around portrait photography and posing.

Rather than trying to compete with every AI image generator, photo editor and camera app at once, Superpose is concentrating on a problem almost anyone with a smartphone recognizes: getting another person to take the photo you actually wanted.

There are still limitations. Chu has acknowledged that some AI-generated poses can look unnatural, and the company has been working on generation styles, personalization and better guidance directly inside the camera viewfinder.

But Superpose has something many newly launched AI products struggle to achieve: the problem is immediately understandable.

You don’t need to understand generative AI or computer vision to understand why someone might use it.

Sometimes you just want your partner to take a better photo.