

Lovable
Lovable is a full-stack AI web app builder positioned between no-code prototyping tools and developer-first AI coding environments.
Information checked: Jun 14, 2026 ·View sources
Tool details
- Type
- App builders
- Platforms
- Web browser, Lovable desktop app, Lovable mobile app, Lovable MCP server, Lovable ChatGPT app, Telegram integration
- Free plan
- Yes
- Open source
- No
- Bring your own key
- No
- Local models
- No

Overview
Best for
- Startup MVPs
- SaaS prototypes
- Internal dashboards
- Client portals
- Founder-led product validation
- Design-to-working-prototype workflows
- Teams that want GitHub handoff after AI generation
- Product managers and designers building realistic prototypes
Strengths
- Very fast path from idea to working web app.
- Good fit for non-developers who still want real code ownership.
- Visual Edits make UI refinement easier than prompt-only workflows.
- GitHub sync gives developers a practical handoff path.
- Supabase and Lovable Cloud reduce backend setup friction.
- Team and enterprise governance options are stronger than many lightweight AI builders.
Limitations & trade-offs
- Native iOS or Android apps that require app-store publishing from the same tool
- Highly regulated applications without engineering and security review
- Large mature codebases that need deep local IDE control
- Teams requiring local model execution
- Projects where backend architecture must be fully custom from day one
- Users who want a purely visual no-code builder with no code ownership concerns
- Credit usage can become unpredictable during debugging or broad iterations.
- Primarily focused on web apps, not native mobile app publishing.
- Generated apps still need developer review before serious production use.
- Complex backend logic and security-sensitive workflows require careful validation.
- Free and lower-tier workflows may be limiting for active product development.
- Hosted workflow does not document local model or BYOK support as a core option.
Get started
Pricing & usage limits
Official pricingFree tier · From $25
Free starting plan with limited credits, public building, Lovable-hosted publishing, and access to core app generation.
100 monthly credits, daily credits, credit rollovers, top-ups, custom domains, no Lovable badge, and user roles.
Adds internal publish, SSO, team workspace, personal projects, design templates, role-based access, and Security Center.
Company-size platform fee with volume-based credit pricing, dedicated support, onboarding, design systems, SCIM, custom connectors, publishing controls, sharing controls, and audit logs.
Pricing checked: Jun 14, 2026 · Subscription, usage limits, and model costs may be billed separately.
Features & details
Prompt-to-app generation
- Build web applications from natural-language prompts.
- Use Agent Mode for autonomous multi-step implementation.
- Use Plan Mode for structured planning, debugging, and technical reasoning.
Visual and code iteration
- Click UI elements and refine them with Visual Edits.
- Generate real editable code instead of a closed no-code artifact.
- Review and extend generated applications through GitHub sync.
Web app stack
- Newer apps use TanStack Start with server-side rendering.
- Older apps use React and Vite.
- Tailwind is used for styling, with backend support through Lovable Cloud, Supabase, and third-party APIs.
Backend and deployment
- Lovable Cloud provides hosting, database, authentication, storage, edge functions, and AI capabilities.
- Native Supabase integration supports PostgreSQL, auth, storage, and edge functions.
- Projects can be published to Lovable URLs or connected to custom domains on paid plans.
Team and governance
- Shared workspaces for collaborative building.
- Business and Enterprise controls for SSO, role-based access, internal publishing, and security oversight.
- Enterprise options include SCIM, audit logs, regional code hosting, custom connectors, and publishing/sharing controls.
Why Choose Lovable?
Lovable is most useful when the first version of a product needs to become tangible quickly. It gives founders, product managers, designers, and developers a way to move beyond static mockups into a working web application with real code behind it. That makes it different from both traditional no-code builders and IDE-based assistants: it is not simply drawing screens, and it is not asking the user to begin inside an existing codebase.
The product is strongest when the user already knows the shape of the app: who it is for, what data it stores, what flows matter, and which integrations are required. Vague prompts can produce impressive demos, but precise product briefs produce better applications and reduce expensive iteration loops. The best results usually come from treating Lovable like a fast product engineer that needs clear requirements, not like a magic one-shot website generator.
Core Workflow
A practical Lovable workflow starts with a structured prompt that describes the app, users, pages, data model, permissions, and visual direction. After the first build, the workflow becomes iterative: use visual editing for interface polish, planning conversations for feature design, and agentic edits for larger implementation tasks.
The important habit is to separate design, data, and logic changes. Asking for a new dashboard layout, a new auth flow, and a billing integration in one message can work, but it also makes failures harder to diagnose. Smaller changes make the generated diffs easier to review, reduce credit waste, and give developers a cleaner path to continue the work in GitHub.
Use Cases
Lovable fits web-first products where speed and ownership both matter. A founder can use it to validate a SaaS idea, a product manager can test a workflow with stakeholders, a designer can turn mockups into interactive software, and an agency can create client prototypes that are easier to hand off than screenshots or Figma-only demos.
It is also useful for internal tools, dashboards, onboarding flows, booking systems, marketplaces, lightweight CRMs, and content-driven web apps. The common pattern is not that these apps are simple; it is that they benefit from quick iteration and can later be reviewed, extended, and operated by a technical owner.
Comparison to Alternatives
Compared with Bolt.new, Lovable feels more product-builder-oriented, especially for users who want to refine the experience through a mix of chat and visual edits. Bolt.new is compelling when the browser development environment and runtime are central to the workflow. Lovable is compelling when the user wants a smoother path from product idea to hosted web app with GitHub and backend integrations attached.
Compared with v0, Lovable is broader. v0 is often the better comparison point for UI generation and React component work, while Lovable is aimed at complete web applications with backend, auth, deployment, and ongoing iteration. Compared with Cursor or Windsurf, Lovable is not primarily an IDE for an existing engineering team; it is a web app generation workspace that can later hand code to developers.
Compared with Bubble or Softr, Lovable’s main difference is code ownership. Visual no-code builders can be excellent for business users who want mature drag-and-drop controls, but Lovable is more attractive when the final asset should be a codebase that engineers can inspect and extend.
Best Configuration
The best Lovable setup starts with explicit technical constraints. Name the desired stack only when it matters; otherwise, let Lovable use its defaults. For serious projects, connect GitHub early, keep commits small, and use a separate branch or repository for experimentation. When backend data matters, define tables, roles, permissions, and edge cases before asking the agent to build complex workflows.
For teams, workspace rules and templates are more valuable than one-off prompts. Shared design patterns, component conventions, naming rules, and data-handling requirements help keep generated applications consistent. Business and Enterprise teams should also decide which projects may be public, which require internal publishing, and who is responsible for reviewing generated code before launch.
Migration Notes
Lovable’s strongest migration path is GitHub sync. Once a project becomes more than a prototype, pull the code into a normal development workflow, add environment variable management, inspect dependencies, run tests, and document deployment assumptions. If the app uses Lovable Cloud or Supabase, record which parts of the backend are platform-managed before moving anything elsewhere.
A production handoff should include a review of authentication, authorization, database rules, secrets, API keys, logging, rate limits, error handling, backups, and data-export paths. Lovable can make a working app appear quickly, but production responsibility still belongs to the team shipping and operating it.
Model support & data privacy
Supported models
- Claude Opus 4.6
- Gemini 3.1 Flash Image
Privacy & data handling
Lovable's privacy policy says it does not sell personal data, uses sub-processors for service delivery, and collects service, billing, metering, and usage data. Business and Enterprise documentation describes training-data opt-out and governance controls. Users should still avoid placing secrets, regulated data, or confidential customer data in prompts or public projects unless workspace privacy and access settings are configured correctly.
Guides, reviews & fixes
View all 7

Who Is Nakul Narayan? Lovable's New Head of Product

Who Is Fabian Hedin? Lovable Co-Founder and CTO

Lovable vs Manus: Which AI Builder Should You Use in 2026?

Lovable Alternatives for 2026: 15 AI App Builders Ranked by Real Use Case

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Product updates
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See the content timelineAlternatives
Bolt.newBolt.new is a browser-native AI web app builder for quickly turning product ideas into editable, runnable, and deployable JavaScript applications.Lovable vs Bolt.new
v0v0 is Vercel’s AI app builder for creating, refining, integrating, and deploying modern web applications from prompts, design inputs, and repository context.Lovable vs v0
Replit AIReplit AI is an all-in-one browser-based AI software creation platform that combines prompt-to-app generation, a cloud IDE, built-in infrastructure, publishing, and collaboration.Lovable vs Replit AI
CursorCursor is an AI coding and cloud development platform that combines a VS Code-based editor, local and cloud agents, CLI workflows, Origin code hosting, repository collaboration, and prompt-to-app creation.
WindsurfWindsurf, now transitioning under the Devin Desktop brand, is an AI-native IDE for developers who want coding agents, codebase context, and editor workflows in one desktop environment.
TempoTempo is a code-first AI app builder and visual React IDE positioned between prompt-to-app tools, Figma-to-code workflows, and developer-centric AI editors.
CreateCreate is an AI-first prompt-to-app builder, now also branded as Anything, for turning natural-language ideas into working web apps, mobile apps, internal tools, dashboards, and AI-powered workflows.
BubbleBubble is a mature no-code and AI-assisted full-stack app builder for creating web and mobile applications with visual logic, database, hosting, and marketplace extensibility.
SoftrSoftr is an AI-native no-code business app builder for teams that need secure portals, internal tools, dashboards, databases, workflows, and AI data operations without building a custom software stack.
Famous.aiA fast prompt-to-app and website builder aimed at launching complete products with minimal technical setup.Sources & verification
Verification dates record when this directory checked the information. Product release dates appear separately above.
Directory revision history
Created directory entry with current pricing, Lovable Cloud, Supabase, GitHub sync, enterprise governance, privacy notes, and documented stack details.