{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_img-cut","slug":"img-cut","name":"Img-Cut","type":"webapp","url":"https://img-cut.aishoot.co","page_url":"https://unfragile.ai/img-cut","categories":["image-generation"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_img-cut__cap_0","uri":"capability://image.visual.client.side.semantic.segmentation.for.background.removal","name":"client-side semantic segmentation for background removal","description":"Executes a pre-trained semantic segmentation model directly in the browser using WebGL or WebAssembly, performing foreground/background pixel classification without transmitting image data to external servers. The model processes the uploaded image locally, generating a binary mask that isolates the subject from its background, then applies the mask to produce a transparent PNG output. This approach trades off model size and accuracy for privacy and zero data transmission.","intents":["remove backgrounds from product photos without uploading to cloud services","quickly generate transparent PNGs for e-commerce listings without account creation","process images locally while maintaining complete privacy of visual content","avoid watermarks and usage quotas imposed by SaaS background removal tools"],"best_for":["privacy-conscious users processing sensitive product photography","small ecommerce sellers needing quick one-off background removal","users in regions with data residency concerns or limited cloud access","developers prototyping privacy-first image editing workflows"],"limitations":["browser-based model is smaller and less accurate than server-side alternatives, resulting in poor edge quality on fine details like hair, fur, and transparent objects","processing speed varies dramatically based on client device CPU/GPU; no server-side optimization or caching","maximum image dimensions constrained by available browser memory; large images (>4000px) may timeout or fail silently","no manual refinement tools (brush, eraser, feathering) to correct segmentation errors after processing","model architecture and training data not disclosed; unclear if model handles complex backgrounds or specific object types"],"requires":["modern browser with WebGL 2.0 or WebAssembly support (Chrome 57+, Firefox 52+, Safari 15+, Edge 79+)","minimum 2GB available RAM on client device","JavaScript enabled in browser","image file in JPEG, PNG, or WebP format (exact supported formats unconfirmed)"],"input_types":["image/jpeg","image/png","image/webp"],"output_types":["image/png with alpha channel (transparency)"],"categories":["image-visual","privacy-first"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_img-cut__cap_1","uri":"capability://image.visual.single.image.upload.and.processing.workflow","name":"single-image upload and processing workflow","description":"Implements a minimal, stateless image processing pipeline: user selects/uploads an image via HTML file input, the browser loads the image into memory, passes it to the client-side segmentation model, and streams the output PNG to the user's download folder. No session state, user accounts, or server-side processing is involved; each image is processed independently with no cross-image context or history retention.","intents":["upload a single image and get a background-removed version in under 1 minute","process an image without creating an account or providing email","download the result immediately without waiting for email delivery or cloud storage sync","use the tool repeatedly for different images without managing a project or workspace"],"best_for":["casual users making one-off edits","social media managers preparing quick profile pictures or post assets","small business owners processing product photos without learning complex software","users who value simplicity over advanced features or batch efficiency"],"limitations":["no batch processing; each image requires a separate upload and processing cycle, making it inefficient for handling 10+ images","no project history or undo functionality; processed images cannot be recovered if accidentally deleted","no background replacement or color adjustment options; output is always transparent PNG","no API or programmatic access; tool is web-UI only, cannot be integrated into automated workflows","processing state is not persisted; refreshing the page or closing the browser loses any in-progress work"],"requires":["modern web browser with file input support","image file stored locally or accessible via file picker","active internet connection (to download the model on first use; subsequent uses may work offline if model is cached)"],"input_types":["image/jpeg","image/png","image/webp"],"output_types":["image/png with alpha channel"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_img-cut__cap_2","uri":"capability://image.visual.transparent.png.output.generation.with.alpha.channel","name":"transparent png output generation with alpha channel","description":"Converts the binary segmentation mask (foreground vs. background pixels) into a PNG file with an 8-bit alpha channel, where foreground pixels retain their original RGB values and background pixels are set to fully transparent (alpha = 0). The output PNG is generated entirely in the browser using Canvas API or similar image encoding, then offered as a downloadable blob without server-side image processing or re-encoding.","intents":["export background-removed images in a format compatible with design tools (Figma, Photoshop, GIMP)","create product images with transparent backgrounds for ecommerce platforms (Shopify, WooCommerce, Etsy)","generate assets for web design where transparency is required for layering over different backgrounds","avoid lossy compression or watermarks in the output file"],"best_for":["ecommerce sellers preparing product catalogs","graphic designers needing quick transparent assets","web developers building image-heavy sites","users who need standard PNG format compatibility with existing tools"],"limitations":["no output quality/compression settings; PNG is generated with default compression, which may result in larger file sizes than optimized alternatives","no option to replace transparency with a solid or custom background color; output is always transparent","alpha channel is binary (fully opaque or fully transparent); no anti-aliasing or feathering at edges, resulting in hard cutouts","output resolution matches input resolution; no upscaling or downscaling options","PNG encoding happens in browser, which may be slow for very large images (>8000px) due to JavaScript performance limits"],"requires":["browser with Canvas API support (all modern browsers)","sufficient client-side memory to hold both input and output images","browser's download functionality enabled"],"input_types":["image/jpeg","image/png","image/webp"],"output_types":["image/png with alpha channel (RGBA, 8-bit per channel)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_img-cut__cap_3","uri":"capability://automation.workflow.zero.account.instant.access.with.no.authentication","name":"zero-account instant access with no authentication","description":"Implements a completely open web interface with no login, registration, email verification, or authentication layer. Users navigate to the URL, immediately see the upload interface, and can process images without providing any personal information or creating an account. No cookies, session tokens, or user tracking is required to use the core functionality, making the tool instantly accessible to first-time visitors.","intents":["use background removal without friction or commitment","avoid sharing email or personal data with a SaaS provider","quickly test the tool's quality on a sample image before deciding to invest time","access the tool from public/shared devices without leaving account traces"],"best_for":["casual users making occasional edits","users in privacy-conscious regions or organizations","people testing the tool before committing to a paid alternative","teams that want to avoid managing user accounts and permissions"],"limitations":["no user account means no processing history, saved projects, or ability to recover previous edits","no per-user quotas or rate limiting; tool may be abused by automated scripts or bots without authentication barriers","no personalization or preferences; each user gets the same default experience","no way to contact users about updates, new features, or service changes","no analytics on user behavior or feature usage (unless tracked via anonymous telemetry)"],"requires":["web browser with internet access","no email address, password, or personal information"],"input_types":[],"output_types":[],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_img-cut__cap_4","uri":"capability://safety.moderation.claimed.privacy.preserving.local.processing.with.no.server.transmission","name":"claimed privacy-preserving local processing with no server transmission","description":"Markets the tool as processing images entirely on the client device with zero transmission of image data to external servers. The segmentation model is downloaded once to the browser cache, and all subsequent processing (image loading, segmentation, PNG encoding, download) occurs locally. The claim is that no image data, metadata, or processing logs are sent to any server, making the tool suitable for processing sensitive or confidential images.","intents":["process confidential product photos without exposing them to cloud services","comply with data residency or privacy regulations that prohibit uploading images to external servers","maintain complete control over image data without relying on a vendor's privacy policy","use the tool in offline environments after the initial model download"],"best_for":["enterprises processing proprietary product photography","users in regulated industries (healthcare, finance) with strict data handling requirements","organizations in regions with data localization laws","privacy advocates who distrust cloud-based image processing"],"limitations":["claim of zero server transmission is UNVERIFIED; no public documentation, code audit, or third-party verification confirms this","browser may still transmit telemetry, analytics, or error logs to the server even if images are not sent","initial model download may be tracked or logged by the server","no way for users to verify that images are not being transmitted (no network inspection tools or transparency reports provided)","if the tool is compromised or the vendor's intentions change, users have no way to detect unauthorized image transmission"],"requires":["trust in the vendor's privacy claims without independent verification","modern browser with developer tools to inspect network traffic (for users who want to verify the claim)","initial internet connection to download the model; subsequent uses may work offline if model is cached"],"input_types":["image/jpeg","image/png","image/webp"],"output_types":["image/png with alpha channel"],"categories":["safety-moderation","privacy-first"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_img-cut__cap_5","uri":"capability://automation.workflow.free.tier.with.no.watermarks.or.usage.quotas","name":"free tier with no watermarks or usage quotas","description":"Offers unlimited background removal processing at zero cost with no watermarks, paywalls, or per-image quotas. Users can process as many images as they want without encountering rate limits, quality degradation, or forced upgrades. The business model appears to be freemium (free tier + unknown premium features), but the exact pricing structure and upgrade triggers are not disclosed.","intents":["remove backgrounds from multiple images without paying per-image or per-month fees","avoid watermarks or branding overlays on output images","test the tool's quality on multiple images before deciding to upgrade","use the tool indefinitely for personal or small-business projects without subscription costs"],"best_for":["casual users and hobbyists with no budget for premium tools","small ecommerce sellers processing dozens of product photos","students and educators using the tool for learning or non-commercial projects","users in developing regions where paid software is cost-prohibitive"],"limitations":["pricing structure is opaque; no documentation of what features are free vs. paid, or what triggers the paywall","free tier may have hidden limitations not disclosed (e.g., max image size, processing speed, output quality)","no SLA or uptime guarantee; free tier may be deprioritized or throttled compared to paid users","business model sustainability is unclear; free tier may be discontinued or monetized in the future","no premium features documented; unclear what value a paid tier would provide"],"requires":["no payment method or subscription","no account creation (for free tier)"],"input_types":["image/jpeg","image/png","image/webp"],"output_types":["image/png with alpha channel"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_img-cut__cap_6","uri":"capability://automation.workflow.simple.intuitive.web.ui.with.minimal.learning.curve","name":"simple, intuitive web ui with minimal learning curve","description":"Implements a streamlined web interface with a single primary action (upload image) and a single output (download PNG). The UI requires no configuration, settings, or advanced options; users simply select an image, wait for processing, and download the result. The interface is designed for non-technical users and requires zero prior knowledge of image editing, AI, or background removal techniques.","intents":["use background removal without learning complex software like Photoshop or GIMP","quickly process images without navigating menus or adjusting settings","teach non-technical team members to use the tool without training","reduce cognitive load and decision fatigue by removing unnecessary options"],"best_for":["non-technical users (social media managers, small business owners, casual editors)","teams with minimal design or image editing experience","users who value speed and simplicity over advanced features","organizations that want to minimize training and support costs"],"limitations":["no advanced controls for edge refinement, background replacement, or quality tuning","no undo or adjustment tools; if the output is unsatisfactory, the user must re-upload and re-process","no preview before download; users cannot see the result until the PNG is generated","no batch processing UI; handling multiple images requires repeating the upload-process-download cycle","no keyboard shortcuts or advanced workflows for power users"],"requires":["web browser with file input support","basic familiarity with file uploads and downloads"],"input_types":["image/jpeg","image/png","image/webp"],"output_types":["image/png with alpha channel"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_img-cut__cap_7","uri":"capability://image.visual.fast.processing.with.clean.cutouts.on.simple.subjects","name":"fast processing with clean cutouts on simple subjects","description":"Delivers quick background removal results (processing time unspecified but claimed to be fast) with acceptable output quality for straightforward subjects like product photos, portraits on plain backgrounds, and simple objects. The segmentation model is optimized for speed over accuracy, enabling near-instant processing on modern devices. Output quality is described as 'clean' for simple subjects but degrades on complex backgrounds, fine details, and transparent objects.","intents":["quickly remove backgrounds from product photos for ecommerce listings","generate clean cutouts of people or objects on plain backgrounds","process images in real-time without waiting for server processing","batch-process simple images efficiently without manual refinement"],"best_for":["ecommerce sellers with product photos on white or plain backgrounds","social media managers preparing profile pictures and post assets","users processing simple, well-lit subjects without complex details","anyone prioritizing speed over perfect edge quality"],"limitations":["poor edge quality on fine details like hair, fur, feathers, and transparent objects (explicitly noted in editorial summary)","struggles with complex backgrounds, shadows, and reflections","no edge refinement tools to manually correct segmentation errors","output quality degrades significantly on low-contrast images or subjects with soft edges","processing speed varies based on client device; no guaranteed latency SLA"],"requires":["modern browser with WebGL/WebAssembly support","client device with adequate CPU/GPU for real-time inference","image with clear subject-background separation (ideally plain background)"],"input_types":["image/jpeg","image/png","image/webp"],"output_types":["image/png with alpha channel"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["modern browser with WebGL 2.0 or WebAssembly support (Chrome 57+, Firefox 52+, Safari 15+, Edge 79+)","minimum 2GB available RAM on client device","JavaScript enabled in browser","image file in JPEG, PNG, or WebP format (exact supported formats unconfirmed)","modern web browser with file input support","image file stored locally or accessible via file picker","active internet connection (to download the model on first use; subsequent uses may work offline if model is cached)","browser with Canvas API support (all modern browsers)","sufficient client-side memory to hold both input and output images","browser's download functionality enabled"],"failure_modes":["browser-based model is smaller and less accurate than server-side alternatives, resulting in poor edge quality on fine details like hair, fur, and transparent objects","processing speed varies dramatically based on client device CPU/GPU; no server-side optimization or caching","maximum image dimensions constrained by available browser memory; large images (>4000px) may timeout or fail silently","no manual refinement tools (brush, eraser, feathering) to correct segmentation errors after processing","model architecture and training data not disclosed; unclear if model handles complex backgrounds or specific object types","no batch processing; each image requires a separate upload and processing cycle, making it inefficient for handling 10+ images","no project history or undo functionality; processed images cannot be recovered if accidentally deleted","no background replacement or color adjustment options; output is always transparent PNG","no API or programmatic access; tool is web-UI only, cannot be integrated into automated workflows","processing state is not persisted; refreshing the page or closing the browser loses any in-progress work","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"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":"2026-05-24T12:16:31.445Z","last_scraped_at":"2026-04-05T13:23:42.560Z","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=img-cut","compare_url":"https://unfragile.ai/compare?artifact=img-cut"}},"signature":"B5GHXm76/0x0HtYjVif22NP0Hs02eUJJ8p5dMfVzpYUq8GNCO2xIUBmR+IJc6p6wmu3M1+MkCz4DwTLbWAG7AQ==","signedAt":"2026-06-16T08:28:08.301Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/img-cut","artifact":"https://unfragile.ai/img-cut","verify":"https://unfragile.ai/api/v1/verify?slug=img-cut","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"}}