Tldraw
Collaborative whiteboard with AI features.
Overview
Collaborative whiteboard with AI features.
Tldraw: practical overview
Discover Tldraw, the free AI-powered collaborative whiteboard. Boost team productivity with intuitive tools, API access, and multi-language support. Start now!
Tldraw is listed in the AI Productivity category. This page summarizes the tool's known positioning, core features, pricing model, platform coverage, and common use cases so readers and AI answer engines can understand when the tool is relevant.
Key capabilities
- Simple and intuitive interface
- Team collaboration
- API access available
- Multi-language support
Common use cases
- Brainstorming sessions for product teams
- Remote team planning and agile retrospectives
- Visual project mapping and workflow design
- Educational collaboration and interactive lessons
Tool facts
| Pricing model | Free |
|---|---|
| Platform | Browser Extension |
| Release date | February 2025 |
| Reported users | 54M+ users |
| Directory rating | 4.1 / 5 |
| Official website | www.tldraw.com |
FAQ
What is Tldraw?
Tldraw is a free, AI-powered collaborative whiteboard that allows teams to brainstorm, plan, and visualize ideas in real time. It combines an intuitive interface with advanced AI features to enhance productivity.
Is Tldraw really free?
Yes, Tldraw offers a free tier with core features including unlimited whiteboards and real-time collaboration. Premium features may be available for advanced needs, but the basic version is completely free.
Does Tldraw support team collaboration?
Absolutely. Tldraw is designed for team collaboration, allowing multiple users to work on the same whiteboard simultaneously. It includes features like live cursors and shared editing to streamline teamwork.
Does Tldraw have an API?
Yes, Tldraw provides API access, enabling developers to integrate its whiteboard functionality into their own applications. This makes it a versatile tool for custom workflows and product development.
What languages does Tldraw support?
Tldraw supports multiple languages, making it accessible to a global audience. The interface can be localized to suit different user preferences, enhancing usability across diverse teams.