{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_fronty","slug":"fronty","name":"Fronty","type":"product","url":"https://fronty.com","page_url":"https://unfragile.ai/fronty","categories":["app-builders"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_fronty__cap_0","uri":"capability://code.generation.editing.image.to.html.semantic.structure.conversion","name":"image-to-html semantic structure conversion","description":"Analyzes uploaded design images using computer vision to detect layout elements (headers, sections, buttons, text blocks) and generates semantically structured HTML markup with appropriate tag hierarchy (nav, main, section, article, etc.) rather than generic nested divs. The system likely uses object detection and spatial analysis to map visual components to semantic HTML elements, preserving logical document structure for accessibility and SEO.","intents":["I need to convert a Figma mockup screenshot into valid HTML without manually writing every div","I want generated code that uses semantic HTML5 tags so it's accessible and maintainable","I need to quickly prototype a landing page design without hand-coding the entire structure"],"best_for":["Solo indie developers prototyping landing pages and marketing sites","Small design agencies needing rapid HTML scaffolding from client mockups","Founders building MVPs who want to skip boilerplate HTML structure"],"limitations":["Semantic detection fails on non-standard or heavily stylized layouts—may default to divs for ambiguous sections","Cannot infer semantic meaning from visual design alone; a visually prominent box might be nav, aside, or article depending on context the model cannot determine","Complex nested component hierarchies (e.g., multi-level navigation menus) often generate flat or incorrectly nested structures requiring manual restructuring"],"requires":["Image file (PNG, JPG, WebP) with minimum resolution ~400x300px for reliable detection","Design image with clear visual separation between layout sections"],"input_types":["image"],"output_types":["code"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fronty__cap_1","uri":"capability://code.generation.editing.visual.to.css.style.extraction.and.generation","name":"visual-to-css style extraction and generation","description":"Extracts visual styling properties (colors, typography, spacing, borders, shadows) from design images and generates corresponding CSS rules. The system performs color detection, font-size estimation from pixel measurements, and spacing inference from layout analysis, then outputs CSS that approximates the visual design. This likely uses image segmentation and pixel-level analysis to map visual properties to CSS values.","intents":["I need CSS that matches the colors and typography shown in my design mockup","I want to avoid manually measuring spacing and padding from a screenshot","I need a starting point for styling that I can then refine and adjust"],"best_for":["Developers who have a visual design and need rapid CSS scaffolding","Teams prototyping designs where pixel-perfect styling is not yet required","Designers who want to see their mockups rendered as functional HTML/CSS quickly"],"limitations":["Color accuracy degrades with compressed images or non-standard color spaces—generated colors may be off by 5-15% from intended design","Font detection is approximate; generated font-size and line-height values often require manual adjustment (±2-4px typical variance)","Custom fonts in images cannot be detected or mapped to web-safe alternatives; output defaults to system fonts requiring manual font-family substitution","Complex spacing (e.g., CSS Grid gaps, flexbox justify-content with specific pixel values) is often estimated incorrectly, requiring 30-50% manual refinement","Shadows, gradients, and advanced CSS effects (blur, transforms) are frequently omitted or oversimplified"],"requires":["Image file with clear visual styling (colors, typography, spacing visible)","Design image with sufficient contrast for color detection to work reliably"],"input_types":["image"],"output_types":["code"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fronty__cap_2","uri":"capability://code.generation.editing.layout.element.detection.and.positioning","name":"layout element detection and positioning","description":"Uses computer vision to identify distinct layout elements (buttons, text blocks, images, forms, navigation bars) within design images and generates CSS positioning (flexbox, grid, or absolute positioning) to recreate their spatial arrangement. The system performs bounding box detection, spatial relationship analysis, and layout pattern recognition to determine the most appropriate CSS layout method for each section.","intents":["I need the layout structure from my mockup converted to CSS without manually positioning each element","I want to understand how my design's elements should be positioned relative to each other","I need a working layout that I can then refine for responsiveness"],"best_for":["Developers converting static mockups to functional layouts","Designers wanting to see their layouts rendered in HTML/CSS immediately","Teams building prototypes where layout accuracy is more important than pixel-perfect styling"],"limitations":["Simple grid and flexbox layouts are detected reasonably well, but complex multi-column layouts with overlapping elements often generate incorrect positioning","Absolute positioning is frequently used as a fallback, making generated layouts brittle and non-responsive","Element overlap detection is unreliable; layered designs (e.g., hero image with text overlay) often generate incorrect z-index or positioning","Responsive breakpoints are not automatically generated; output is typically a single fixed-width layout requiring manual media query additions","Whitespace and negative space are often misinterpreted, leading to incorrect margins and padding that require manual adjustment"],"requires":["Image with clearly separated layout elements","Design image with distinct visual boundaries between sections"],"input_types":["image"],"output_types":["code"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fronty__cap_3","uri":"capability://code.generation.editing.image.asset.extraction.and.reference.generation","name":"image asset extraction and reference generation","description":"Detects embedded images, icons, and visual assets within design mockups and generates HTML img tags with placeholder or extracted asset references. The system identifies distinct image regions, separates them from layout elements, and outputs img elements with appropriate alt text inference or placeholder attributes, though actual image extraction and optimization is limited.","intents":["I need img tags generated for images shown in my mockup","I want to know which images are referenced in my design so I can source or create them","I need placeholder image references that I can replace with actual assets later"],"best_for":["Developers who have mockups with embedded images and need HTML scaffolding","Teams building prototypes where image placeholders are sufficient initially"],"limitations":["Image extraction is not performed; only references/placeholders are generated","Alt text generation is minimal or generic—often defaults to 'image' or element type rather than inferring meaningful descriptions","Icon detection is unreliable; small icons are frequently missed or misclassified as text","Background images in designs are not automatically converted to CSS background-image properties; they may be ignored or treated as separate elements","Image dimensions are estimated from visual size in mockup, not actual pixel dimensions, leading to incorrect aspect ratios in output"],"requires":["Design image with visible image assets or placeholders"],"input_types":["image"],"output_types":["code"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fronty__cap_4","uri":"capability://code.generation.editing.text.content.extraction.and.html.markup","name":"text content extraction and html markup","description":"Performs OCR (optical character recognition) on design images to extract visible text content and generates corresponding HTML elements (p, h1-h6, span, etc.) with appropriate semantic tags based on visual hierarchy (size, weight, position). The system analyzes text size, color, and positioning to infer heading levels and text block types, then outputs HTML with extracted content.","intents":["I need the text from my mockup extracted and placed into HTML elements","I want headings, paragraphs, and other text properly tagged based on visual hierarchy","I need a quick way to get all copy from a design into HTML without manual typing"],"best_for":["Developers converting text-heavy mockups to HTML","Teams building prototypes where content accuracy is important","Designers wanting to see their copy rendered in HTML immediately"],"limitations":["OCR accuracy degrades significantly with non-standard fonts, small text (<12px), or low-contrast text—error rates of 5-15% are common","Heading level inference is heuristic-based (size/weight) and frequently incorrect; h2 might be tagged as h3 or vice versa","Special characters, accents, and non-Latin scripts are often misrecognized or corrupted","Text styling (bold, italic, underline) is not reliably detected or preserved in HTML markup","Multiline text blocks are sometimes split incorrectly, breaking sentences across multiple p tags","Placeholder text (Lorem ipsum) is extracted as real content, requiring manual cleanup"],"requires":["Design image with readable text (minimum ~14px font size for reliable OCR)","Text with sufficient contrast against background for OCR to function"],"input_types":["image"],"output_types":["code"],"categories":["code-generation-editing","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fronty__cap_5","uri":"capability://code.generation.editing.single.image.batch.html.css.generation","name":"single-image batch html/css generation","description":"Orchestrates the full conversion pipeline (semantic structure detection, style extraction, layout positioning, text OCR, asset reference generation) on a single uploaded image and outputs complete, compilable HTML and CSS files in a single operation. The system coordinates multiple computer vision and code generation models to produce an end-to-end design-to-code transformation without requiring intermediate steps or manual assembly.","intents":["I have a design mockup and need complete HTML/CSS code generated from it in one step","I want to upload an image and get a working prototype immediately without manual assembly","I need to quickly test if a design is feasible to code before committing development time"],"best_for":["Solo developers and small teams needing rapid prototyping from mockups","Indie developers building landing pages and marketing sites quickly","Designers wanting to see their mockups rendered as functional code immediately"],"limitations":["Output code quality is inconsistent and highly dependent on design complexity—simple layouts generate 70-80% production-ready code, complex layouts require 40-60% manual rewrites","No responsiveness automation; generated code is typically fixed-width and requires manual media query additions for mobile","Complex designs with custom fonts, gradients, animations, or non-standard layouts often produce unusable output requiring complete recoding","No iteration or refinement loop; users must download output and manually edit rather than providing feedback to improve generation","Generated code lacks optimization—no minification, no CSS deduplication, no unused style removal"],"requires":["Image file (PNG, JPG, WebP) with minimum resolution ~400x300px","Fronty account (freemium tier available, no credit card required for basic usage)"],"input_types":["image"],"output_types":["code"],"categories":["code-generation-editing","image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fronty__cap_6","uri":"capability://automation.workflow.freemium.image.upload.and.conversion","name":"freemium image upload and conversion","description":"Provides a free tier allowing users to upload design images and generate HTML/CSS code without requiring payment, credit card, or account creation for basic usage. The system implements usage limits (likely conversion count or file size restrictions) to balance free access with commercial sustainability, enabling risk-free evaluation of conversion quality before paid tier commitment.","intents":["I want to test if Fronty can convert my design before paying for it","I need to convert a few mockups without committing to a paid plan","I want to evaluate the code quality and decide if it's worth purchasing"],"best_for":["Solo developers and small teams evaluating the tool before purchase","Indie developers with occasional conversion needs who don't require paid features","Designers wanting to test design-to-code feasibility without financial commitment"],"limitations":["Free tier likely has conversion limits (e.g., 5-10 conversions per month or per account) restricting high-volume usage","Free tier may have file size restrictions (e.g., max 5MB images) limiting complex or high-resolution mockups","Free tier may produce lower-quality output or omit advanced features available in paid tiers","No credit card required for signup, but account creation is likely required to track usage and enforce limits","Free tier conversions may be subject to longer processing times or lower priority in generation queue"],"requires":["Fronty account (free signup, no credit card required)","Image file within free tier size/format restrictions"],"input_types":["image"],"output_types":["code"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fronty__cap_7","uri":"capability://code.generation.editing.html.css.code.export.and.download","name":"html/css code export and download","description":"Generates and packages converted HTML and CSS code into downloadable files (likely .html and .css files or a .zip archive) that users can immediately integrate into their projects. The system outputs clean, formatted code with proper indentation and structure, making the generated files directly usable without requiring additional parsing or reformatting.","intents":["I need to download the generated HTML and CSS code to use in my project","I want the code in separate .html and .css files so I can organize my project properly","I need code that's formatted and readable so I can easily edit and maintain it"],"best_for":["Developers integrating generated code into existing projects","Teams needing code in standard formats for version control and collaboration","Developers who prefer local development over cloud-based editing"],"limitations":["No version control integration; users must manually manage code versions and changes","No built-in code formatting options; output formatting is fixed and may not match team style guides","No dependency management; generated code is standalone with no package.json or build configuration","No optimization or minification; downloaded code is unoptimized and may be larger than necessary","No preview or testing environment; users must download and test code locally to verify functionality"],"requires":["Successful image conversion (prior capability completion)","File system access to save downloaded files"],"input_types":["code"],"output_types":["code"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Image file (PNG, JPG, WebP) with minimum resolution ~400x300px for reliable detection","Design image with clear visual separation between layout sections","Image file with clear visual styling (colors, typography, spacing visible)","Design image with sufficient contrast for color detection to work reliably","Image with clearly separated layout elements","Design image with distinct visual boundaries between sections","Design image with visible image assets or placeholders","Design image with readable text (minimum ~14px font size for reliable OCR)","Text with sufficient contrast against background for OCR to function","Image file (PNG, JPG, WebP) with minimum resolution ~400x300px"],"failure_modes":["Semantic detection fails on non-standard or heavily stylized layouts—may default to divs for ambiguous sections","Cannot infer semantic meaning from visual design alone; a visually prominent box might be nav, aside, or article depending on context the model cannot determine","Complex nested component hierarchies (e.g., multi-level navigation menus) often generate flat or incorrectly nested structures requiring manual restructuring","Color accuracy degrades with compressed images or non-standard color spaces—generated colors may be off by 5-15% from intended design","Font detection is approximate; generated font-size and line-height values often require manual adjustment (±2-4px typical variance)","Custom fonts in images cannot be detected or mapped to web-safe alternatives; output defaults to system fonts requiring manual font-family substitution","Complex spacing (e.g., CSS Grid gaps, flexbox justify-content with specific pixel values) is often estimated incorrectly, requiring 30-50% manual refinement","Shadows, gradients, and advanced CSS effects (blur, transforms) are frequently omitted or oversimplified","Simple grid and flexbox layouts are detected reasonably well, but complex multi-column layouts with overlapping elements often generate incorrect positioning","Absolute positioning is frequently used as a fallback, making generated layouts brittle and non-responsive","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.9,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:30.892Z","last_scraped_at":"2026-04-05T13:23:42.552Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=fronty","compare_url":"https://unfragile.ai/compare?artifact=fronty"}},"signature":"/47xSY/ddmT7XtzVNJpw9iSbzWCLIPZeKUypwCU12UhM6Gf/JP5aAarpkW5SmbpPtoqXj62hF8oongiafcrkBQ==","signedAt":"2026-06-16T02:03:59.231Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/fronty","artifact":"https://unfragile.ai/fronty","verify":"https://unfragile.ai/api/v1/verify?slug=fronty","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}