Screenshot To Code
Screenshot to Code converts screenshots, Figma files, and screen recordings into HTML, React, or Vue frontends you can actually run.
Pick this when you want an owned design-to-code pipeline and don't mind juggling provider keys — 80k stars means bugs get found fast. Budget roughly an afternoon for the first local run, and add both Gemini and Replicate keys or you'll lose asset extraction, video mode, and image editing. The generated output is a strong first draft, not a finished component library, so price in refactor time before you call it a win.
Verified 4d ago · liveness 81/100 · cite: rightaichoice.com/tools/screenshot-to-code
- Developers who want a first-draft Tailwind or React UI from a screenshot in minutes
- Designers producing code-ready handoff from mockups or Figma files
- Teams building an internal design-to-code pipeline they fully control
- Engineers who already hold OpenAI, Anthropic, or Gemini API keys
- Teams expecting production-ready, pixel-perfect code with no manual refactoring
- Non-technical users who want zero setup and no API key management
- Buyers who need a vendor SLA, support contract, or governance features
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Skip Screenshot to Code if you need a managed, per-seat design-to-code product with support, SSO, and no API-key handling — the hosted app at screenshottocode.com is faster to try, but the real value here is self-hosting, and that only pays off if you'll maintain it.
Provider API usage is separate from the software itself — every screenshot you convert bills against your OpenAI, Anthropic, or Gemini account, and repeated regenerations multiply that.
The software itself is $0 — MIT-licensed, self-hosted. Your real cost is provider API usage plus the engineering hours to run it. That puts Screenshot to Code well under per-seat commercial design-to-code tools for solo developers and small teams with existing API keys, but the math flips if you'd need to buy engineering time to maintain the deployment, or if your volume is high enough that API calls exceed a predictable per-seat plan. The hosted app at screenshottocode.com is the
In short
Screenshot To Code — Screenshot to Code converts screenshots, Figma files, and screen recordings into HTML, React, or Vue frontends you can actually run. Best for Developers who want a first-draft Tailwind or React UI from a screenshot in minutes, Designers producing code-ready handoff from mockups or Figma files, Teams building an internal design-to-code pipeline they fully control. Free to use.
What people actually say about Screenshot To Code — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
20 mentions across 3 sources (Hacker News, Product Hunt, Lemmy) · researched Jul 3, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +Free and open source with MIT license.
- +Converts screenshots to multiple frameworks including React, Vue, Bootstrap.
- +Active GitHub community with 73k+ stars and frequent updates.
- +Supports Figma designs, not just screenshots.
- +Can run locally via Docker for privacy.
- −Fails to capture animations, loading states, or transitions.
- −Static output—only layout, no interactive behavior.
- −Quality varies with the AI model used.
- −Limited community discussion outside of GitHub.
- −No built-in support for video-to-code (static frames only).
- • Self-hosting requires Docker and GPU for best performance
- • Hosted version may have usage limits (not detailed in data)
Viability Score
How well maintained and how widely used is Screenshot To Code? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Convert screenshots into HTML + Tailwind markup
- Convert mockups into React + Tailwind components
- Convert Figma designs into Vue + Tailwind code
- Turn screen recordings of live sites into functional prototypes (video mode, Gemini key required)
- Asset extraction reuses real logos and images from the screenshot (Gemini key required)
- Image generation via Replicate (z-image-turbo)
- Image editing (edit_images) via Replicate
- Background removal (remove_backgrounds) via Replicate
- Screenshot preview renders generated pages in headless Chromium so the agent can self-review
- Compare multiple models per generation when all provider keys are set
- Multi-model support across OpenAI, Anthropic, and Gemini
- Output to HTML + CSS
- Output to Bootstrap
- Output to Ionic + Tailwind
- Docker self-hosting with docker-compose
About Screenshot To Code
Screenshot to Code is an MIT-licensed, open-source screenshot-to-code converter that turns a screenshot, mockup, Figma design, or screen recording into working frontend code. The GitHub repo sits at 80.3k stars and 9.8k forks with 1,457 commits, so this is a scrutinized codebase rather than a weekend experiment. Six output stacks ship today: HTML + Tailwind, HTML + CSS, React + Tailwind, Vue + Tailwind, Bootstrap, and Ionic + Tailwind. Two paths in. The fastest is the official hosted product at screenshottocode.com with no local setup. Self-hosting gives you full control: a React/Vite frontend plus a FastAPI backend installed through Poetry, or a one-command `docker-compose up`. Local setup requires API keys, and the maintainer notes you can't develop against the Docker build since file changes don't trigger rebuilds. The defining design choice is bring-your-own-key. You need at least one model provider key from OpenAI, Anthropic, or Gemini; Gemini and Replicate are strongly recommended. Gemini powers asset extraction, reusing the real logos and images from your screenshot, and is required for video mode. Replicate powers image generation, background removal, and image editing, so without that key `edit_images` and `remove_backgrounds` are unavailable. Default models in the repo include Gemini 3 Flash Preview, Gemini 3.1 Pro Preview, GPT-5.5, GPT-5.4 Mini, Claude Opus 4.6, Claude Opus 4.8, and z-image-turbo for image generation. Add all four keys and the app picks a stronger model mix per variant and lets you compare multiple models per generation. Ollama is supported but the maintainer explicitly discourages it for poor-quality output. One capability worth calling out: feed it a screen recording of a live site and it returns a functional prototype. Screenshot preview renders the generated page in headless Chromium so the agent can visually check its own work; if Chromium is missing, the app silently skips that tool. Positioning-wise, Screenshot to Code trades
Behind the Verdict
We'd reach for Screenshot to Code when the job is 'give me something clickable by Friday.' Drop in a mockup, get React and Tailwind back, fix the spacing later. The video mode is the sleeper feature here — record a live site doing its thing and you get a functional prototype rather than a static mock. For anyone prototyping in front of stakeholders, that alone justifies the setup time. The bring-your-own-key model is either the best or worst thing about it, depending on your team. With OpenAI, Anthropic, Gemini, and Replicate keys configured, the app picks a stronger model mix per variant and you can compare outputs side by side before committing to one. With a single key you're locked into that provider's models, and quality drops accordingly. Gemini is the non-negotiable one if you care about asset extraction — real logos and images pulled from your screenshot instead of gray placeholder boxes. Setup is where casual users bounce. Poetry, a FastAPI backend, a Vite frontend, Playwright Chromium for the self-review loop — that's an afternoon if the environment cooperates and a long evening if it doesn't. Skip the Playwright step and nothing breaks, you just lose the agent's ability to look at its own rendered output and catch obvious visual errors. The Docker path gets you running faster but the README is explicit that you can't develop against it. Generated code quality tracks the model, not the tool. Gemini 3 Flash and the GPT-5.5 variants produce markup that usually survives a Tailwind config, but nothing here respects your design system tokens or your ESLint rules out of the box. Plan to treat output as scaffolding. We've seen teams try to wire this straight into a production repo and spend more time cleaning diffs than they saved. Where it bites: no SLA, no
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Real-world workflow fit
Concrete scenarios for the personas Screenshot To Code actually fits — and what changes day-one when you adopt it.
You have a Figma export of a dashboard mockup and need a React + Tailwind starting point before standup. You drop the PNG into your locally-running instance, select React + Tailwind, and let it generate with all four provider keys so it compares models per variant.
Outcome: You get a component file to refactor in the editor rather than a blank file, cutting the scaffolding step from an hour to a few minutes.
A competitor just shipped a flow your PM wants emulated. You screen-record the live interaction, feed the recording into video mode (Gemini key set), and the tool returns a functional clickable prototype.
Outcome: You can demo the flow in your own stack the same day instead of rebuilding it from scratch, and asset extraction reuses the real logos and imagery from the recording.
You bring up the React/Vite frontend and FastAPI backend with a single `docker-compose up` inside your own network, point it at your internal Gemini and OpenAI keys, and route designer-submitted mockups through it as a batch.
Outcome: Screenshots never leave your infrastructure, and the Chromium screenshot-preview step gives the agent a self-check loop before the output lands in your review queue.
Use Cases
- Convert a UI mockup screenshot into a functioning React component in minutes.
- Rapidly prototype a landing page from a design image and generate HTML/Tailwind code.
- Recreate a mobile app screen from a screen recording using AI-generated Vue code.
- Generate initial development scaffolding from Figma exports.
- Produce a functional clickable prototype by recording a screen interaction.
- Run an internal design-to-code step on your own infrastructure so screenshots never leave your network.
Models Under the Hood
as of 2026-10-17
Limitations
- No formal support or SLA — it's an open-source project, and issues are triaged by maintainers (126 open issues, 22 open PRs at last scrape).
- Generation quality tracks the underlying model and the complexity of your input; you will refactor before production.
- Video mode requires a Gemini key, and image editing plus background removal require a Replicate key — without those keys the capabilities are simply absent, and asset extraction silently falls back to placeholders.
- Ollama-based open-source models are supported but the maintainer warns results are poor.
- Headless Chromium is optional; if it isn't installed, the self-review screenshot step is skipped.
- Model defaults shift quickly as the project updates, so pin your provider versions if you need reproducibility.
as of 2026-10-05
Verification history
We have re-verified Screenshot To Code 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Screenshot To Code tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Self-hosted (open source)
$0
Hosted app (screenshottocode.com)
See vendor for current terms
Ideal for
Anyone evaluating the converter before committing to a Poetry or Docker install, or non-technical teammates who need to try it without touching API keys.
What this tier adds
Removes the local setup step: no Poetry, no backend env file, no Chromium install — you get the vendor-operated official product instead of your own deployment.
Where the pricing makes sense
The company stage and team size where Screenshot To Code's pricing actually pencils out — and where peers do it cheaper.
The software itself is $0 — MIT-licensed, self-hosted. Your real cost is provider API usage plus the engineering hours to run it. That puts Screenshot to Code well under per-seat commercial design-to-code tools for solo developers and small teams with existing API keys, but the math flips if you'd need to buy engineering time to maintain the deployment, or if your volume is high enough that API calls exceed a predictable per-seat plan. The hosted app at screenshottocode.com is the
Setup time & first value
How long it actually takes to get something useful out of Screenshot To Code — broken out by persona, not the marketing-page minute.
Hosted app: seconds — open screenshottocode.com and drop an image in. Local self-host with Docker: about 30-60 minutes including `docker-compose up`, filling in your `.env` with at least one provider key, and installing Chromium (on Linux use `poetry run playwright install --with-deps chromium` to pull the system libs). Poetry install from scratch takes longer and expects working Python tooling.
Switching to or from Screenshot To Code
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual design handoff: export the mockup as PNG from Figma and drop it into the converter instead of annotating spacing by hand.
- →From a paid per-seat design-to-code tool: bring your existing OpenAI, Anthropic, or Gemini key and run the same screenshots through the self-hosted app.
- →From an internal prompt-script: replace your ad-hoc screenshot-to-LLM script with the FastAPI backend so output stacks and asset extraction are handled for you.
- →From Figma dev mode: use the Figma export path for Vue + Tailwind output as an initial scaffold, then hand-refine in the editor.
- ↗To a managed paid tool: if refactoring overhead exceeds the subscription cost, move to a per-seat design-to-code product that handles keys and support for you.
- ↗To an IDE agent: once your team is comfortable with in-editor generation, some scaffolding work migrates to a coding agent inside your IDE.
- ↗To a bespoke internal converter: fork the MIT-licensed repo and wire it into your own pipeline rather than exporting to a third-party product.
Integrations
Resources & Guides
- Resourcegithub.com
Screenshot To Code · Screenshot To Code
Helpful link from github.com
- Resourcegithub.com
Troubleshooting · Screenshot To Code
Helpful link from github.com
- Resourcegithub.com
Evaluation · Screenshot To Code
Helpful link from github.com
- Resourcegithub.com
TESTING · Screenshot To Code
Helpful link from github.com
- Resourcegithub.com
README · Screenshot To Code
Helpful link from github.com
Tutorials & Learning
Turn a screenshot to code!
Tiff In Tech
Screenshot to code!
100x Engineers
ChatGPT - Lesson 135 - Screenshot to Code
TutorTube
YouTube returned 6 videos for “Screenshot To Code”, and we withheld 2: 2 did not mention Screenshot To Code. Showing the 4 we can prove are about Screenshot To Code.
Official links
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Featured Head-to-Head Comparisons
Screenshot To Code vs Bito
Bito is for teams using AI coding agents across many repos – it provides the architectural context. Screenshot To Code is the best free open-source tool to jump from UI image to code. Choose Bito if you need system-wide context for production code; choose Screenshot To Code if you need quick frontend prototypes from screenshots or recordings for free.
Screenshot To Code vs Polycam
Polycam is for professionals needing accurate 3D scans and floor plans from real-world spaces; Screenshot to Code is for developers wanting to turn visual designs into code instantly. Choose Polycam if you work with physical environments (architecture, forensics, product design). Choose Screenshot to Code if you're a frontend developer or designer who needs rapid prototyping from screenshots or mockups.
Screenshot To Code vs Cognition Ai
Choose Cognition AI if your engineering team needs an autonomous agent to handle complex, multi-step tasks like bug triage, legacy modernization, and end-to-end PR creation with enterprise-grade integrations and a financial productivity guarantee. Choose Screenshot To Code if you're a frontend developer or designer looking for a free, open-source tool to quickly prototype from screenshots, mockups, or recordings, and you're comfortable self-hosting or managing API costs.
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