CropCode

任意のインターフェース、ダッシュボード、テーブルを切り取り、ピクセルをコンパクトな JSON スキーマに変換。そのまま IDE や AI エージェントに貼り付けることができます。

Turn any screenshot to code — and cut prompt tokens by up to 70%. CropCode is the design to code tool built for developers who choose using AI to code every single day. Instead of pasting heavy screenshots into your AI code assistant, burning thousands of unnecessary tokens, and watching your context window explode, CropCode captures any UI, component, or dashboard section and delivers it to your assistant as a clean, dense, and structured architectural JSON schema. WHY RAW SCREENSHOTS ARE COSTING YOU MORE THAN MONEY Pasting raw images into an LLM burns thousands of tokens per prompt, floods the context window with visual noise, and triggers hallucinated markup: broken flexbox, wrong CSS grid rows, and invented class names. The result: wasted budget, slower iterations, and code you have to rewrite by hand. Whether you search for the best design to code tools or the best AI to code workflow, the bottleneck is rarely the model: it is the format of what you feed it. CropCode optimizes what you feed your AI assistant. You finally get the clean, accurate code you expected on the first try. KEY CAPABILITIES • Screenshot to code without the noise: CropCode performs a screenshot to code conversion that ignores decorative pixels and returns the structure that actually matters: layout hierarchy, spacing, alignment, and containers. • Screenshot to code complex design capabilities: From multi-panel dashboards to nested grids and data tables with typed columns, it captures modals, overlays, interactive form controls, and strict heading hierarchies (H1–H6). It is engineered for messy, real-world interfaces that break simpler tools. • Image to code that respects your context window: Every capture is processed into a token-efficient schema that eliminates graphical bloat, preserving the exact structural information your assistant needs to generate code without exhausting your quota. • Foundations for image to html and declarative UI components: The output describes flexbox relationships, CSS grid structures, and modular frontend architectures; the building blocks AI code assistants use to produce your final HTML, CSS, and modern component code, supercharging your prompts for AI to code. • Purpose-built for AI tools for high fidelity UI to code conversion: A structured semantic blueprint beats a flat image every time, reducing hallucinations and improving accuracy across every downstream generation. • Instant clipboard delivery: Your JSON schema is copied automatically the moment the capture completes; paste it straight into your prompt, assistant, or code editor. HOW IT WORKS — 3 STEPS, ZERO FRICTION 1. Capture: Press Alt+X on the active tab, or click the "Take screenshot" button on any UI, component, or section you want to rebuild. 2. Analyze: CropCode processes the capture ephemerally in memory and generates a clean, structured architectural JSON schema — no bloat, no visual noise. 3. Paste: The schema is already on your clipboard. Drop it into your AI code assistant and let it generate code from an accurate, token-efficient blueprint. A NOTE ON WHAT CROPCODE DELIVERS CropCode does not export .html or .css files directly. It generates the structural JSON schema that your AI assistant uses to build the final code. This is a deliberate design choice: a precise semantic schema gives the model a much more reliable signal than a screenshot ever could, and keeps you in full control of the final output. PRIVACY BY DESIGN All processing happens in volatile memory. There is no persistent storage, no data collection, and no use of your captures to train AI models. What you capture stays yours: the moment it is analyzed, it is gone. WHO IT IS FOR Senior frontend developers, technical leads, and product builders who are already using AI to code and want a faster, cheaper, and more accurate workflow for turning interfaces into structured, production-ready specifications. STOP PAYING FOR NOISE. START SHIPPING STRUCTURE. Install CropCode and turn your next screenshot to code in seconds — with the clarity your AI assistant has been waiting for.