Sketch-to-code tools compared: tldraw, Uizard, and more
Several tools can turn a drawing into running code today. The real difference between them is what the drawing becomes afterwards: a discarded prompt, or a model of your system.
Yes. AI can turn a sketch into working code, and it works today. A multimodal model can read boxes, arrows and handwriting from a drawing and produce something that runs. That part stopped being the interesting question about two years ago. The interesting question is what each tool does with the sketch after the code exists, because that is where they genuinely differ, and it decides whether the tool is a party trick or part of how you build.
As with our comparison of the AI app builders, this is a comparison by architectural bet rather than by feature list. Features change monthly; the bet each tool has made does not.
Three inputs that get called "sketch"
The phrase covers three quite different starting points, and most disappointment with these tools comes from picking one built for a different input than yours.
- A freehand sketch: boxes, arrows, handwriting. The tool has to read intent, meaning what you meant rather than what you drew.
- A screenshot or wireframe: an existing interface, or a picture of one. The tool has to read appearance, and reproduce what is there pixel by pixel.
- A design file: a Figma document with real layers and structure. The tool has to translate, because the structure already exists, it just is not code yet.
The tools, by the bet each one made
| Tool | The bet | Input | What you end up with |
|---|---|---|---|
| tldraw Make Real | The canvas is the prompt: draw, generate, annotate the result, generate again | Freehand shapes on its canvas | A running web prototype, rendered next to your drawing |
| Uizard | The valuable artefact is an editable design, not code | Sketch, screenshot or text prompt | A design you refine and hand over. Expect wireframe fidelity, not a finished product |
| screenshot-to-code | Open source, self-hosted, bring your own model keys | A screenshot | HTML, Tailwind, React or Vue markup reproducing the screenshot |
| Visual Copilot (Builder.io) | The design file is the source of truth; translate it faithfully | A Figma selection | Framework code (React, Vue and others) meant to land in an existing codebase |
tldraw Make Real: the fastest idea-to-prototype loop there is
You draw an interface on the canvas, select it, and a multimodal model returns working web code rendered right next to your drawing. The part that makes it more than a demo is the loop: the result is itself an object on the canvas, so you can draw an arrow at it, write "this button should be red", and run it again. For exploring an interaction idea in front of another person, nothing here is faster.
It is honestly framed as an experiment on top of an open-source canvas, and the output is a prototype: a thing to learn from, not a codebase to keep.
Uizard: when the deliverable is a design
Uizard, now part of Miro, reads a sketch or a screenshot and gives you back an editable design on its canvas. That is a different bet from every other tool here: it assumes the thing you want next is not code but a design you can iterate, share and hand to whoever builds. If that is your situation (a founder who needs screens to react to, not a repository), the honest answer is that a design tool serves you better than a code generator.
screenshot-to-code: the open-source workhorse
An open-source project you run yourself, with your own model API keys. Drop in a screenshot and it produces clean markup (HTML with Tailwind, React or Vue) that reproduces it. Because you host it and pick the model, it is the natural choice when the screenshots are of something private, or when you want to compare what different models produce from the same image. What it makes is markup, faithfully: the appearance of the thing, not the system behind it.
Visual Copilot: for teams that already live in Figma
Builder.io's plugin converts a Figma selection into production-shaped code for the mainstream frameworks, aiming at your design system rather than generic output. It is solving the translation problem, and it is the right category when the structure already exists in a design file and the gap is purely design-to-code. It assumes a real design and a real codebase on either side of it, which is exactly why it is the wrong tool for a napkin sketch.
One more option deserves a mention: the full-stack app builders. v0, Bolt and Lovable all accept an image among their inputs, so a sketch can seed an entire generated application. If that is the path you are weighing, the app-builder comparison covers what happens after the first generation.
The question that separates all of them
Ask one thing of any tool in this category: what happens to the sketch after the code exists?
In almost every case the answer is: nothing. The drawing was a prompt. It produced code, the code is now the artefact, and the drawing is scaffolding to be thrown away. That is fine for a prototype. But notice what is being discarded. The sketch was the one description of the system that said what you meant: which parts exist, what talks to what, where the boundaries are.
Where Graphlit fits
Graphlit is in this category by input and a different one by output. You draw boxes and arrows on a canvas, or on paper you photograph, and a photograph is read by deterministic offline code before any model is asked. But the drawing does not become a one-shot prompt. It becomes a typed graph (services, routes, tables, jobs, and the edges between them) and the code is built against that graph, then re-read and compared back to it after every change. The sketch is not discarded; it is promoted to the thing the code has to keep agreeing with.
No prompt. No template. No prose.
So the honest positioning against everything above: if you want a prototype this afternoon, use Make Real. If you want a design, use a design tool. If you want the drawing to still mean something on day ninety, that is the problem Graphlit exists for. How it works walks through the whole loop, and it is free to start.
How to choose
You want to try an interaction idea today
tldraw Make Real. The draw-generate-annotate loop is the best rapid-prototyping interface in the category, and treating the output as disposable is the intended use.
You have a screenshot and want matching markup
screenshot-to-code if you are comfortable self-hosting with your own model keys; it reproduces appearance faithfully and keeps private screenshots on your infrastructure.
You need screens people can react to, not a repository
Uizard. The editable design is the deliverable, and pretending otherwise leads to disappointment in both directions.
You have a Figma file and an existing codebase
Visual Copilot. The translation problem is the one it is built for, and the output is meant to land in a real repository.
You want the sketch to become the system's living map
That is the architecture-graph bet: the drawing stays connected to the code and something checks the two still agree. It is the bet Graphlit makes, and the features page shows what falls out of it.
Common questions
Can AI turn a sketch into working code?
Yes. Several tools do it today, and it works. A multimodal model can read boxes, arrows and labels from a drawing and produce running code from them. The differences between tools are what the sketch becomes afterwards: in most, the drawing is a one-shot prompt that is discarded once code exists; in a few, it becomes a persistent model of the system that the code is checked against as it keeps changing.
What is the difference between sketch-to-code and screenshot-to-code?
The input and the job. A sketch expresses intent: rough boxes and labels a model must interpret to decide what you meant. A screenshot is an existing interface a model must reproduce as faithfully as possible. Tools built for one are usually mediocre at the other, so name which input you actually have before choosing.
Do sketch-to-code tools produce production-quality code?
Treat the output as a prototype or as scaffolding, not as a finished product. What these tools produce runs, and that is genuinely useful for exploring an idea. But production quality is about error handling, security and fit with the rest of your system, none of which is visible in a drawing. Review anything you intend to keep.
Can I turn a whiteboard photo into an app?
Yes. Some tools accept a photo of paper or a whiteboard directly and read the boxes, arrows and handwriting out of it. One caution: a whiteboard photo is often somebody's unreleased architecture, so it is worth checking whether the tool uploads the image to a third-party service or reads it locally before you feed it anything sensitive.
Draw it. Then keep it true.
Graphlit turns an architecture drawing into a typed graph, builds against it, and proves the code still matches. Free to start.