{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_qr-code-ai","slug":"qr-code-ai","name":"QR Code AI","type":"product","url":"https://qrcode-ai.com","page_url":"https://unfragile.ai/qr-code-ai","categories":["automation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_qr-code-ai__cap_0","uri":"capability://image.visual.ai.driven.artistic.qr.code.generation.with.design.customization","name":"ai-driven artistic qr code generation with design customization","description":"Generates QR codes using generative AI models (likely diffusion-based or transformer architectures) that overlay artistic visual patterns onto functional QR matrices while preserving error-correction capacity. The system accepts a URL/text payload, encodes it into a standard QR matrix, then applies AI-guided aesthetic transformations (color gradients, textures, artistic styles) constrained by error-correction level thresholds to maintain scannability across device types. Architecture likely uses a two-stage pipeline: QR matrix generation (standard Reed-Solomon encoding) followed by AI-guided pixel-level or block-level artistic rendering with real-time validation against QR decoder feedback.","intents":["I want to generate a QR code that matches my brand colors and looks intentional rather than generic","I need QR codes for a marketing campaign that are visually distinctive and Instagram-worthy","I want to embed my logo into a QR code without breaking its scannability","I need to create multiple QR code variations with different artistic styles for A/B testing"],"best_for":["Marketing teams designing branded campaigns where QR code aesthetics directly impact engagement","Graphic designers integrating QR codes into print materials and packaging","E-commerce brands embedding QR codes in product photography or promotional materials","Event organizers creating visually cohesive QR codes for tickets and check-in systems"],"limitations":["Scannability degrades with high customization complexity—intricate AI designs may fail on older QR readers or certain phone cameras with poor autofocus","No guarantee of 100% compatibility across all QR decoder implementations; some devices may struggle with heavily stylized codes","Error-correction level is likely fixed or limited to L/M levels to preserve visual quality, reducing redundancy for damaged/partially obscured codes","Artistic rendering quality is non-deterministic and varies based on AI model interpretation; same input may produce different outputs across generations"],"requires":["Valid URL or text payload (typically <2953 characters for standard QR v40)","Web browser with JavaScript support for real-time preview","Optional: brand color values (hex/RGB) and logo image file (PNG/JPG, <5MB recommended)","QR scanner app or device camera with QR decoding capability for validation"],"input_types":["text (URL, email, phone number, vCard, WiFi credentials)","image (logo/brand asset for embedding, typically PNG with transparency)","color values (hex codes or RGB for brand customization)"],"output_types":["image (PNG, JPG, SVG formats at various resolutions)","batch export (multiple QR codes in ZIP or bulk download format)"],"categories":["image-visual","design-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_qr-code-ai__cap_1","uri":"capability://image.visual.brand.color.and.logo.embedding.with.qr.matrix.integration","name":"brand color and logo embedding with qr matrix integration","description":"Accepts brand color palettes (hex/RGB) and logo images as inputs and intelligently embeds them into the QR code structure by mapping colors to QR modules and positioning logo assets in low-information-density zones (typically the center or corners where error-correction redundancy is highest). The system likely uses color quantization to reduce the logo to a palette compatible with the QR's error-correction capacity, then validates that the embedded logo doesn't exceed the error-correction threshold. Architecture probably involves zone-based masking: identifying safe regions for logo placement based on QR version and error-correction level, then blending logo pixels with QR modules while preserving enough contrast for optical scanning.","intents":["I want my company logo centered in the QR code without breaking scannability","I need QR codes that use my brand's primary and secondary colors instead of black and white","I want to create a cohesive visual identity where QR codes feel like branded assets, not generic codes","I need to customize multiple QR codes with the same logo and color scheme for consistency across a campaign"],"best_for":["Brand teams maintaining strict visual identity guidelines across all marketing touchpoints","Packaging designers embedding QR codes into product labels where brand consistency is critical","Agencies creating white-label QR solutions for multiple clients with distinct brand requirements"],"limitations":["Logo embedding reduces effective error-correction capacity; complex logos may require lower error-correction levels (L or M) instead of H","Color contrast requirements for scannability may force deviation from brand colors—very light or very saturated colors may not scan reliably","Logo placement is constrained to low-information zones; custom positioning outside these zones risks QR decoder failure","Transparent or anti-aliased logo edges may not render cleanly at QR module resolution, causing scanning artifacts"],"requires":["Logo image file (PNG with transparency preferred, JPG acceptable; recommended max 500x500px)","Brand color values in hex or RGB format","QR version/size specification (typically auto-detected based on data payload)","Error-correction level selection (L, M, Q, or H; higher levels reduce available space for customization)"],"input_types":["image (logo/brand asset, PNG/JPG)","color values (hex codes, RGB tuples, or CSS color names)","text (QR payload to encode)"],"output_types":["image (PNG, JPG, SVG with embedded logo and custom colors)"],"categories":["image-visual","design-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_qr-code-ai__cap_2","uri":"capability://image.visual.batch.qr.code.generation.with.style.variation","name":"batch qr code generation with style variation","description":"Generates multiple QR codes in a single operation, applying consistent branding (colors, logo) across all codes while varying artistic styles or design themes per code. The system likely implements a template-based or parameterized generation pipeline where a base configuration (logo, colors, error-correction level) is held constant while style parameters (artistic filter, texture, color gradient direction) are iterated. Backend architecture probably uses job queuing (async task processing) to handle batch requests without blocking the UI, with progress tracking and bulk export functionality (ZIP download or API batch endpoint).","intents":["I need to generate 50 QR codes for a product launch campaign, each with different artistic styles for A/B testing","I want to create QR codes for multiple events with consistent branding but unique visual themes","I need to export a batch of QR codes for a print campaign without manually generating each one","I want to test which artistic style performs best by generating variations and tracking scan rates"],"best_for":["Marketing teams running large-scale campaigns requiring dozens or hundreds of QR codes","Print production teams generating QR codes for product batches with consistent branding","Agencies managing QR code generation for multiple client campaigns simultaneously"],"limitations":["Batch generation speed depends on AI model inference latency; generating 100+ codes may take minutes to hours","No built-in analytics or scan tracking; batch export produces static images without performance measurement","Style variation quality is non-deterministic; some style combinations may produce codes with reduced scannability","Batch operations may be rate-limited or restricted to paid tiers; freemium tier likely has small batch size caps (e.g., 5-10 codes per batch)"],"requires":["Batch size specification (number of codes to generate)","Base configuration (URL/text payload, logo, colors, error-correction level)","Style parameters or style list (artistic themes, filters, or design variations)","Storage/export capability (browser download, cloud storage integration, or API endpoint)"],"input_types":["text (single URL or list of URLs for different codes)","image (logo, reused across all codes in batch)","color values (brand colors, applied consistently)","style parameters (artistic themes, filters, or design variations)"],"output_types":["image batch (multiple PNG/JPG files)","archive (ZIP file containing all generated codes)","structured metadata (CSV or JSON with code IDs, styles, and download links)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_qr-code-ai__cap_3","uri":"capability://image.visual.real.time.qr.scannability.validation.and.error.correction.feedback","name":"real-time qr scannability validation and error-correction feedback","description":"Validates generated QR codes against scannability standards by simulating QR decoder behavior and providing real-time feedback on error-correction capacity, contrast ratios, and module clarity. The system likely integrates a QR decoder library (e.g., jsQR, pyzbar, or ZXing) to test-decode generated codes and report success/failure, along with metrics like contrast ratio (luminance difference between dark and light modules) and error-correction level utilization. Architecture probably includes a validation pipeline that runs after each code generation: decode attempt → contrast analysis → error-correction capacity check → user feedback (pass/fail with specific warnings).","intents":["I want to know if my customized QR code will actually scan on real devices before downloading it","I need to understand why a particular design failed to scan and what I can adjust","I want to see how much error-correction capacity I have left if I add a logo or change colors","I need to validate that my batch of QR codes all meet minimum scannability standards"],"best_for":["Designers iterating on QR code designs and needing immediate feedback on scannability","QA teams validating QR codes before production print runs","Marketing teams ensuring QR codes work across different device types and lighting conditions"],"limitations":["Validation is performed in controlled conditions (optimal lighting, clean images); real-world scannability may vary based on print quality, camera hardware, and environmental factors","Decoder simulation may not cover all QR reader implementations; a code that passes validation might fail on older or proprietary QR decoders","Contrast ratio analysis is static and doesn't account for dynamic factors like motion blur or partial obscuration","No physical device testing; validation is purely algorithmic and cannot guarantee scannability on all phones/cameras"],"requires":["Generated QR code image (PNG, JPG, or SVG)","QR decoder library integrated into the validation pipeline (jsQR, ZXing, or equivalent)","Contrast analysis tools (luminance calculation, module clarity metrics)"],"input_types":["image (generated QR code in any supported format)"],"output_types":["validation report (pass/fail status, error-correction utilization percentage, contrast ratio, specific warnings)","visual feedback (highlighted problem areas in the QR code, suggested adjustments)"],"categories":["image-visual","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_qr-code-ai__cap_4","uri":"capability://automation.workflow.freemium.tier.with.limited.batch.size.and.design.customization","name":"freemium tier with limited batch size and design customization","description":"Implements a freemium business model where free users can generate individual or small-batch QR codes with basic customization (colors, logo), while paid tiers unlock larger batch sizes, advanced AI design styles, and analytics features. The system likely uses API rate limiting, feature flags, or database-level restrictions to enforce tier boundaries: free tier capped at 1-5 codes per batch, limited to 2-3 artistic styles, no analytics or export to cloud storage. Architecture probably includes a user authentication layer, tier detection middleware, and quota tracking (codes generated per month, batch size limits, style availability).","intents":["I want to test QR Code AI before committing to a paid plan","I need to generate a few QR codes for a small project without paying","I want to upgrade to a paid plan once I understand the tool's capabilities","I need to generate large batches of QR codes regularly and need a cost-effective pricing model"],"best_for":["Solo designers and small teams evaluating QR code tools before purchase","Freelancers and agencies needing occasional QR code generation without recurring costs","Businesses with variable QR code demand (seasonal campaigns, event-driven generation)"],"limitations":["Free tier likely has small batch size caps (1-5 codes per operation), making large campaigns impractical without upgrading","Limited artistic style options on free tier; advanced AI designs may be paid-only","No analytics or scan tracking on free tier; performance measurement requires paid subscription","Free tier may have watermarks, lower resolution exports, or slower generation speeds","Monthly quota limits (e.g., 50 free codes per month) may restrict heavy users"],"requires":["Email address for account creation (free tier)","No payment method required for free tier","Credit card for paid tier upgrade"],"input_types":["text (URL, email, phone number)","image (logo, optional)","color values (optional)"],"output_types":["image (PNG, JPG at standard resolution on free tier; higher resolutions on paid tiers)"],"categories":["automation-workflow","business-model"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_qr-code-ai__cap_5","uri":"capability://image.visual.multi.format.qr.code.export.with.resolution.and.encoding.options","name":"multi-format qr code export with resolution and encoding options","description":"Exports generated QR codes in multiple formats (PNG, JPG, SVG) at various resolutions, with options for color space encoding (RGB, CMYK for print) and compression settings. The system likely implements format-specific export pipelines: PNG/JPG use raster rendering with configurable DPI (72-600 DPI for print), while SVG uses vector rendering for infinite scalability. Architecture probably includes a format detection layer that recommends optimal export settings based on use case (web vs. print), with preview functionality showing how the code will appear at different resolutions.","intents":["I need to export a QR code for web use at 72 DPI and for print at 300 DPI","I want to export as SVG so I can scale the QR code to any size without quality loss","I need CMYK color space for professional printing","I want to export multiple QR codes in different formats for different marketing channels"],"best_for":["Print designers requiring high-resolution, CMYK-encoded QR codes for packaging and collateral","Web developers needing scalable SVG QR codes for responsive designs","Marketing teams distributing QR codes across multiple channels (print, digital, social media)"],"limitations":["JPG compression may introduce artifacts in QR codes, reducing scannability; PNG is recommended for QR codes but larger file size","SVG export may not preserve all artistic styling if the design uses raster effects (gradients, textures); vector-only designs export cleanly","CMYK export is typically available only on paid tiers; color space conversion may shift colors slightly from RGB preview","High-resolution exports (600 DPI) produce large file sizes; batch exports at high resolution may exceed download limits"],"requires":["Generated QR code (internal representation)","Export format selection (PNG, JPG, SVG)","Resolution/DPI specification (72 DPI for web, 300+ DPI for print)","Optional: color space selection (RGB or CMYK), compression level"],"input_types":["internal QR code representation (generated by the system)"],"output_types":["image file (PNG, JPG, SVG at specified resolution and color space)","batch archive (ZIP containing multiple formats/resolutions)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_qr-code-ai__cap_6","uri":"capability://image.visual.ai.guided.artistic.style.selection.and.preview","name":"ai-guided artistic style selection and preview","description":"Provides a gallery or style selector where users can preview how different artistic styles (e.g., 'watercolor', 'neon', 'minimalist', 'retro') will render on their QR code before generation. The system likely uses lightweight AI inference or pre-computed style templates to generate quick previews, allowing users to iterate on style choices without waiting for full generation. Architecture probably includes a style library (curated set of artistic themes), a preview rendering pipeline (fast, low-resolution preview), and a full generation pipeline (high-quality output). Users select a style from the gallery, see a preview on their specific QR code, and confirm to generate the final version.","intents":["I want to see how different artistic styles look on my QR code before committing to one","I need to choose a style that matches my brand aesthetic and campaign theme","I want to explore creative QR code designs without manually tweaking parameters","I need to show style options to stakeholders and get feedback before final generation"],"best_for":["Designers exploring creative QR code options and needing visual feedback before final generation","Marketing teams collaborating on QR code designs and needing to present style options to stakeholders","Brands wanting to maintain consistent artistic direction across multiple QR codes"],"limitations":["Preview rendering may not perfectly match final output due to resolution/quality differences; full generation may reveal artifacts not visible in preview","Limited number of pre-defined styles; custom artistic directions not covered by the style library require manual parameter tuning","Style preview generation adds latency; users must wait for preview rendering before seeing options","Some styles may not be compatible with certain customizations (e.g., intricate artistic styles may conflict with logo embedding)"],"requires":["QR code payload (URL, text, etc.)","Optional: logo, brand colors (for preview context)","Style library (curated set of artistic themes)"],"input_types":["text (QR payload)","image (logo, optional)","color values (optional)"],"output_types":["preview image (low-resolution, fast-rendered preview of selected style)","style metadata (style name, parameters, compatibility notes)"],"categories":["image-visual","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Valid URL or text payload (typically <2953 characters for standard QR v40)","Web browser with JavaScript support for real-time preview","Optional: brand color values (hex/RGB) and logo image file (PNG/JPG, <5MB recommended)","QR scanner app or device camera with QR decoding capability for validation","Logo image file (PNG with transparency preferred, JPG acceptable; recommended max 500x500px)","Brand color values in hex or RGB format","QR version/size specification (typically auto-detected based on data payload)","Error-correction level selection (L, M, Q, or H; higher levels reduce available space for customization)","Batch size specification (number of codes to generate)","Base configuration (URL/text payload, logo, colors, error-correction level)"],"failure_modes":["Scannability degrades with high customization complexity—intricate AI designs may fail on older QR readers or certain phone cameras with poor autofocus","No guarantee of 100% compatibility across all QR decoder implementations; some devices may struggle with heavily stylized codes","Error-correction level is likely fixed or limited to L/M levels to preserve visual quality, reducing redundancy for damaged/partially obscured codes","Artistic rendering quality is non-deterministic and varies based on AI model interpretation; same input may produce different outputs across generations","Logo embedding reduces effective error-correction capacity; complex logos may require lower error-correction levels (L or M) instead of H","Color contrast requirements for scannability may force deviation from brand colors—very light or very saturated colors may not scan reliably","Logo placement is constrained to low-information zones; custom positioning outside these zones risks QR decoder failure","Transparent or anti-aliased logo edges may not render cleanly at QR module resolution, causing scanning artifacts","Batch generation speed depends on AI model inference latency; generating 100+ codes may take minutes to hours","No built-in analytics or scan tracking; batch export produces static images without performance measurement","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"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":"2026-05-24T12:16:32.438Z","last_scraped_at":"2026-04-05T13:23:42.551Z","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=qr-code-ai","compare_url":"https://unfragile.ai/compare?artifact=qr-code-ai"}},"signature":"RHFu+SuA31vbQuPW2IAkb0sN1ZMleYZIK2w5WwUww1kuqlaXArFnBkt0PyhBi0TsgsVSOt6nvlviR6hVL1gxBg==","signedAt":"2026-06-22T14:09:45.423Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/qr-code-ai","artifact":"https://unfragile.ai/qr-code-ai","verify":"https://unfragile.ai/api/v1/verify?slug=qr-code-ai","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"}}