Compare tools that turn a plain-language description into a working app on a small trial: one screen with a sign-in form and a list of saved records. This job is also called vibe coding.
Good to know: Free-use terms vary by tool and plan. When a card lists no tool-specific limit, check quotas, watermarks and export terms on the official page.
Dyad is a free, largely open-source desktop app from Dyad Tech, Inc. that turns a plain-language request into a web app on your own computer, using your own AI model key or a local model, and lets you publish through your own GitHub and Vercel accounts.
Why it fits
Build an App with AI
Good to know: Before publishing with user data or payments, review sign-in and database access rules, check whether the published app is public by default and keep secrets out of prompts and client code.
Base44 is an AI app builder run by Wix.com Ltd. that turns an idea described in plain language into an app you edit by chat, preview and publish, with built-in hosting, database and sign-in.
Why it fits
Build an App with AI
Good to know: Before publishing with user data or payments, review sign-in and database access rules, check whether the published app is public by default and keep secrets out of prompts and client code.
Rork is an AI app builder from Rork, Inc. that runs in the browser and turns a plain-language idea into an iPhone (SwiftUI), Android (Kotlin and Compose) or web (Vite and React) app that you preview, test and publish.
Why it fits
Build an App with AI
Good to know: App Store and Google Play review, a developer account and testing on a real device are your responsibility.
Bolt.new is a browser development tool for creating JavaScript-based websites and applications from chat prompts, inspecting code and previewing results.
Why it fits
Build an App with AI
Good to know: Before publishing with user data or payments, review sign-in and database access rules, check whether the published app is public by default and keep secrets out of prompts and client code.
Google AI Studio is a browser workspace for experimenting with Gemini prompts and building application prototypes from natural-language instructions.
Why it fits
Build an App with AI
Good to know: Before publishing with user data or payments, review sign-in and database access rules, check whether the published app is public by default and keep secrets out of prompts and client code.
Lovable is an AI development tool for creating, editing and publishing websites and applications from natural-language descriptions.
Why it fits
Build an App with AI
Good to know: Before publishing with user data or payments, review sign-in and database access rules, check whether the published app is public by default and keep secrets out of prompts and client code.
What should you compare?
Choose the output first: a web app, an iPhone or Android app, or a desktop tool that runs on your own computer? The platform filter on the search page shows where a tool runs, not what kind of app it produces, so confirm the output on the official page. For a mobile app, App Store and Google Play review, a developer account and testing on a real device are your responsibility.
Check whether the code stays yours: can you export it or sync it to GitHub, and on which plan? Read the official documentation for where the app is hosted, where the database and sign-in live, and what you keep if you leave the tool. Check whether you can connect your own domain name, and on which plan. Do not assume an export option that a source does not show.
Find out how usage is measured: credits, tokens or message counts differ from tool to tool, and spending can grow as a project gets bigger or the same app is rebuilt. Check current quotas and prices on the vendor’s official page and in a dated source; plans and promotions change.
Can I publish with real user data? A prototype, an internal tool or a personal project can be a starting point. If user data or payments are involved, review sign-in and database access rules before publishing, check whether the published app is public by default, keep secrets out of prompts and client code, separate test data from live data and keep a version you can go back to.
This comparison is based on published official documentation. It is not a hands-on test or a quality ranking. Unknown features are not treated as verified.
Check AI answers against their sources. Review account permissions and data settings before sharing private files or connections.
Check the official page for current quotas and output conditions.
Before publishing with user data or payments, review sign-in and database access rules, check whether the published app is public by default and keep secrets out of prompts and client code.
App Store and Google Play review, a developer account and testing on a real device are your responsibility.