App Showcase: ReShoot
App info
- App name: ReShoot: AI Photos & Edits
- Onboarding steps: 3
- Paywall type: Free Trial - Soft Paywall
- Monthly installs: 350,000
- Monthly revenue: $300,000
- App category: graphics and design
What it does
ReShoot is a mobile application that uses generative AI to edit, enhance, and creatively transform photos. Users can type natural language prompts to make specific changes, such as opening a person's eyes or altering a background. The app also features capabilities for creating professional product photos from simple images, seamlessly merging people from different pictures into a single scene, and applying a wide variety of stylistic templates like a "Modern Yearbook" look.
Where it shines
ReShoot's onboarding is its most polished element. Instead of describing features, it shows them with compelling animated demos (00:04 - 00:40). This immediately establishes the app's power. The template gallery is another strong point, offering a vast range of creative starting points beyond simple editing (02:42). The user flow for applying a complex template, like the yearbook photo (03:12), is streamlined into just a few taps, making sophisticated edits feel accessible.
UX highlights
- Value-first onboarding. The app demonstrates its core editing, product photography, and merging features through animations before asking for any permissions or payment.
- Contextual tooltips. Once inside the app, simple tooltips (01:19) guide the user's first actions, explaining how to select one or two photos.
- Clear selection states. When selecting photos for merging or editing, a numerical badge and border highlight the chosen images, reducing ambiguity (00:29).
- Prompt-driven editing. The core interaction model relies on natural language prompts, which is an intuitive way to command complex AI edits (00:09).
- Organized template library. Templates are sorted into logical, browsable categories like "Trending," "Image Edit," and "Yearbook" (02:43), aiding discovery.
- Error handling. When an AI generation fails, a simple, non-intrusive toast notification appears at the top, allowing the user to try again without a disruptive modal (02:33).
Monetization & growth
The app employs a hard paywall at the end of its onboarding flow (00:46), requiring users to start a 7-day free trial to gain access. This filters for high-intent users. The primary monetization model appears to be a credit-based system. After the initial credits are used, users are prompted to buy more packs (03:51). As a clever growth tactic, the app also offers a way to earn unlimited daily generations by successfully referring three friends (04:32), turning engaged users into a marketing channel.
Who it’s for
ReShoot is designed for social media users, content creators, and small business owners. Its features cater to those looking to quickly create high-quality or unique visuals without complex software. Use cases range from fixing personal photos (e.g., making someone smile) and creating fun, stylized portraits for social profiles, to generating professional-looking product shots for e-commerce listings.
Notes & opportunities
The app's reliance on a credit system could create friction for users who want to experiment heavily. While the referral program mitigates this, the credit refill messaging could be clearer about when the free credits are replenished. The AI-generated image at 02:01 shows some visual artifacts on the subject's face, indicating that while powerful, the technology isn't always perfect. Adding a way to regenerate a result with slight variations could improve user satisfaction when minor flaws occur.