Screenshot to HTML — Convert UI Screenshots to Code
Upload any UI screenshot. The tool reads the pixel colours and detects the layout using the Canvas API, then generates a complete, themed HTML + CSS file that matches your screenshot's visual style. Semantic HTML or Tailwind. Live preview in iframe. Download .html. 100% client-side — no AI, no server, no signup.
Upload a screenshot — colours extracted, layout detected, HTML generated
How it works: Canvas reads every pixel → extracts background/accent/text colours → detects layout from brightness patterns → fills matching template with your colours → renders HTML.
Rate this tool
How client-side screenshot-to-HTML works — no AI needed
getImageData() reads every pixel. Quantisation groups similar colours to find the dominant background, text, and accent colours — the actual colours from your screenshot, not a guess.:root block as --bg, --text, --accent, and --secondary. Every element references these vars — the output is themed to your screenshot.:root CSS block, or Tailwind CSS utility classes with the CDN script included.fetch(), no server. The Canvas API reads pixel data entirely in your browser. Your screenshot never leaves your device.Convert a screenshot to HTML in 4 steps
LazyTools vs other screenshot-to-HTML tools
| Feature | LazyTools | Vercel v0 | screenshot.rocks | htmlcssai.com |
|---|---|---|---|---|
| No AI / no server | ✅ 100% Canvas API | ❌ GPT-4o API | ❌ Server-side | ❌ AI API |
| Screenshot stays on device | ✅ Never uploaded | ❌ Uploaded to server | ❌ Uploaded to server | ❌ Uploaded to server |
| Colours from actual pixels | ✅ getImageData() | ✅ AI infers | ❌ No | ✅ AI infers |
| Layout detection | ✅ 5 patterns | ✅ AI infers | ❌ No | ✅ AI infers |
| Semantic HTML output | ✅ Yes | ✅ Yes | ❌ No | ✅ Yes |
| Tailwind CSS output | ✅ Yes | ✅ Yes | ❌ No | ❌ No |
| Live iframe preview | ✅ Yes | ✅ Yes | ❌ No | ❌ No |
| Download .html | ✅ Free | ❌ Paid plan | ❌ No | ❌ Paid plan |
| No account required | ✅ Always | ❌ Account needed | ✅ Yes | ❌ Account needed |
How pixel brightness patterns map to layout templates
| Detected Layout | Pixel Signal Used | Generated HTML Structure | Best for |
|---|---|---|---|
| Hero CTA | Top 45% of image has uniform brightness; no strong left/right split | Full-screen hero, gradient headline, two CTA buttons | Landing pages, product pages |
| Hero Split | Left half and right half average brightness differ by more than 12% | Two-column grid: text left, accent visual right | SaaS homepages, feature pages |
| Card Grid | Three vertical column brightness values have low variance (similar brightness across columns) | Three-column card grid with icon, title, description | Feature lists, product listings |
| Nav + Content | Top 10% strip brightness differs from body brightness by more than 8% | Sticky navigation bar + two alternating content sections | Marketing sites, documentation |
| Form / Landing | Central region brightness differs from surrounding area by more than 15% | Centred form card with name, email, password, submit | Sign-up pages, login forms |
Screenshot to HTML Without AI — How Canvas-Based Conversion Works
Converting a screenshot to HTML without AI means using what the browser can actually compute from image pixel data. The HTML5 Canvas API provides getImageData(), which returns the raw RGBA values of every pixel in an image. From this raw data, two things can be reliably extracted that are sufficient to generate useful HTML: the colour scheme, and the structural layout type.
Colour extraction: reading the screenshot's palette from pixels
The tool samples pixels across the image, rounds each to the nearest colour bucket (quantisation), and counts how often each colour appears. The most frequent colour becomes the background. The colour with the highest contrast against the background becomes the text colour. The most visually distinct secondary colour becomes the accent. These values are measured directly from the screenshot's pixels — they are not guessed or approximated. A screenshot of a dark navy blue SaaS homepage will produce --bg: #0f172a. A screenshot of a light grey marketing site will produce --bg: #f8fafc. These exact hex values come from the image, not from a template.
Layout detection: reading structure from brightness patterns
Web layouts have characteristic pixel brightness distributions. A navigation bar appears as a strip at the top of the image with different average brightness from the body — the tool measures this by comparing the average luminance of the top 10% of the image against the rest. A split layout shows a strong brightness difference between the left and right halves — measured by comparing average luminance of each half. A card grid shows similar brightness across three vertical segments — measured by the variance of three column samples. Each layout pattern maps to a specific pixel signal that can be computed from raw image data.
What the HTML output contains
The generated HTML is a complete, self-contained file. For Semantic HTML output, it includes a :root block with CSS custom properties populated from your screenshot's colours, semantic HTML5 elements (header, nav, main, section, footer), responsive CSS using flexbox and grid, and placeholder text. For Tailwind CSS output, it includes the Tailwind CDN script tag, HTML with utility classes, and inline style attributes only where Tailwind classes cannot cover the extracted hex colour values. Both outputs are complete files that open directly in a browser.
Honest limitations vs AI-based tools
This tool cannot reproduce text from the screenshot (use the OCR tool for that), cannot identify specific icons or images, and cannot match exact pixel spacing or font choices. What it can do reliably is give you a correctly coloured, correctly structured HTML starting point — the colour theme from the actual screenshot pixels, the layout pattern from actual pixel brightness analysis, and semantic responsive HTML that you refine in your editor to match the screenshot precisely.
Screenshot to HTML — 8 questions answered
The Canvas API reads every pixel. It extracts dominant colours and detects the layout by analysing brightness patterns across horizontal and vertical strips. The matching HTML template is then filled with your screenshot's actual colours as CSS custom properties to produce a themed HTML file.
Five: Hero CTA (uniform top region), Hero Split (left/right brightness difference), Card Grid (similar brightness across three columns), Nav + Content (top strip differs from body), Form/Landing (bright centre against darker surround).
No. The Canvas API processes pixel data entirely in your browser. No image is sent to any server, API, or AI model. Your screenshot stays on your device.
A complete HTML file with CSS custom properties populated from the screenshot's actual pixel colours, semantic HTML5 layout structure, and responsive CSS. The colours in the output come directly from the screenshot's pixels.
The colour theme accurately reflects your screenshot — the hex values come from the actual image pixels. The layout structure matches one of five common web patterns. Text, icons, and exact spacing are not reproduced. Use the output as a correctly-coloured, correctly-structured starting point to refine in your editor.
Semantic HTML gives you a CSS :root block with custom properties for standard web projects. Tailwind gives utility classes with the Tailwind CDN script included. Use Tailwind if your project already uses it, Semantic HTML otherwise.
Yes. Export your Figma frame as PNG and upload it. The tool extracts the colour palette from the pixel data and detects the layout. Crop to the specific section you want to convert for more focused results.
100% free, no signup, no account, no AI API. Upload a screenshot, generate themed HTML, preview it live, download the .html file. Entirely browser-based using the Canvas API.