{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_image2prompts","slug":"image2prompts","name":"Image2Prompts","type":"webapp","url":"https://image2prompts.com","page_url":"https://unfragile.ai/image2prompts","categories":["image-generation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_image2prompts__cap_0","uri":"capability://image.visual.image.to.text.prompt.generation.with.model.optimization","name":"image-to-text-prompt-generation-with-model-optimization","description":"Analyzes uploaded images using an undisclosed vision-language model to generate detailed text prompts optimized for specific image generation models (Midjourney, Stable Diffusion, Nano Banana). The system performs multi-layered visual analysis including scene recognition, object detection, style extraction, emotional tone assessment, and composition analysis, then synthesizes these elements into model-specific prompt syntax. Processing claims to occur locally in the browser but architectural evidence suggests server-side inference with post-processing deletion.","intents":["I need to convert a reference image into a detailed prompt for Midjourney without manually writing descriptions","I want to reverse-engineer the visual characteristics of an existing image to understand what prompt would recreate it","I need to batch-analyze multiple reference images to extract consistent style descriptors for a design project","I'm struggling to articulate visual concepts in text form and need AI to bridge that gap"],"best_for":["Prompt engineers and designers using Midjourney or Stable Diffusion who have reference images but lack prompt articulation skills","Content creators batch-processing image libraries for automated tagging and description generation","Artists iterating on visual style by analyzing reference images to understand prompt structure","Non-technical users who want to generate images but struggle with manual prompt writing"],"limitations":["Outputs are optimized for Midjourney v6 and Stable Diffusion; performance with other models (DALL-E, Nano Banana, custom models) is unverified and likely degraded","No transparency on underlying vision model or accuracy metrics — '99% Accuracy Rate' is undefined and unverifiable","Batch processing limits are undocumented; unclear if concurrent requests are queued, rate-limited, or fail silently","No user accounts or processing history; stateless design prevents iterative refinement or prompt versioning","Maximum 10MB file size may exclude high-resolution reference images or multi-page documents","Processing latency is undocumented; 'instantly' claims lack concrete SLA or performance benchmarks","No API access documented; tool is web UI only, preventing programmatic integration into design workflows","Privacy claims contradict technical reality — local browser processing is implausible for generative text synthesis; actual data handling post-processing is undocumented"],"requires":["Modern web browser with JavaScript enabled (Chrome, Firefox, Safari, Edge)","Image file in PNG, JPG, or WEBP format","Internet connection (despite 'local processing' claims, server-side inference is required)","Maximum 10MB file size per image","No API key or authentication required for free tier"],"input_types":["image/png","image/jpeg","image/webp"],"output_types":["text/plain (prompt text)","application/json (structured prompt data)"],"categories":["image-visual","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_image2prompts__cap_1","uri":"capability://image.visual.batch.image.processing.with.concurrent.upload","name":"batch-image-processing-with-concurrent-upload","description":"Supports simultaneous processing of multiple images in a single session, enabling users to upload and analyze image libraries without sequential waiting. The system claims to handle concurrent requests but provides no documentation of batch size limits, queue behavior, or failure handling. Implementation details are opaque; unclear whether processing is truly parallel or sequentially queued with UI-level concurrency illusion.","intents":["I need to analyze 20+ reference images for a design project and extract consistent style descriptors without uploading them one-by-one","I want to batch-generate prompts for an image library to create consistent tagging across hundreds of assets","I'm building a mood board and need prompts for all reference images simultaneously to compare outputs"],"best_for":["Designers and content creators processing image libraries with 5-50 images per session","Teams building design systems who need to extract visual patterns from multiple reference images","Batch-oriented workflows where sequential processing creates friction"],"limitations":["Batch size limits are completely undocumented; unclear if there's a hard cap (e.g., 10, 50, 100 images) or soft degradation","No progress tracking or per-image status visibility; users cannot distinguish between processing, queued, or failed images","Failure handling is undocumented; unclear if one failed image blocks the entire batch or if partial results are returned","No batch export or download functionality documented; users must manually copy/paste individual prompts","Concurrent request behavior is unspecified; unclear if requests are truly parallel or sequentially processed with concurrent UI updates","Rate limiting is undocumented; no information on requests-per-minute or daily batch quotas","No resume capability; if a batch fails mid-processing, users must restart from scratch"],"requires":["Modern web browser with JavaScript enabled","Multiple image files in PNG, JPG, or WEBP format","Each image must be under 10MB (total batch size limit unknown)","Stable internet connection (batch uploads may timeout on slow connections)"],"input_types":["image/png","image/jpeg","image/webp"],"output_types":["text/plain (multiple prompts)","application/json (structured batch results)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_image2prompts__cap_10","uri":"capability://image.visual.composition.and.photography.terminology.analysis","name":"composition-and-photography-terminology-analysis","description":"Analyzes visual composition elements including lighting, perspective, camera angles, depth of field, framing, and photography/cinematography terminology. The system identifies technical characteristics (e.g., 'rule of thirds', 'leading lines', 'shallow depth of field', 'golden hour lighting') and translates them into prompt-friendly descriptors. Implementation approach is undocumented; unclear whether analysis uses geometric detection, learned embeddings, or rule-based heuristics.","intents":["I need to describe the technical composition of a reference image in photography terms for prompt generation","I want to understand what lighting and camera techniques make a reference image effective","I'm analyzing multiple reference images to identify consistent compositional patterns"],"best_for":["Photographers and cinematographers analyzing reference images for technical inspiration","Prompt engineers building composition-focused prompts for image generation","Visual directors establishing consistent compositional language across projects"],"limitations":["Composition analysis accuracy is unverified; no benchmarks or ground-truth metrics provided","Unclear how system handles abstract or non-photographic images (paintings, illustrations, 3D renders)","No information on photography terminology taxonomy or vocabulary used","Confidence scores or composition uncertainty are undocumented","Unclear if composition analysis is separate from overall prompt generation or integrated","No documentation on handling of unconventional or experimental compositions","Unclear how system distinguishes between intentional compositional choices and accidental characteristics"],"requires":["Image with identifiable compositional elements","Modern web browser with JavaScript enabled","Internet connection"],"input_types":["image/png","image/jpeg","image/webp"],"output_types":["text/plain (composition descriptions)","application/json (structured composition metadata)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_image2prompts__cap_11","uri":"capability://image.visual.hierarchical.multi.layered.detail.extraction","name":"hierarchical-multi-layered-detail-extraction","description":"Generates prompts with hierarchical detail levels, extracting information at multiple scales from high-level scene description to fine-grained object and style details. The system synthesizes multi-layered analysis (scene, objects, style, composition, emotion) into a coherent prompt that balances specificity with brevity. Implementation approach is undocumented; unclear whether layering is sequential (scene → objects → style) or parallel with post-hoc synthesis.","intents":["I need a comprehensive prompt that captures both overall scene and specific details from a reference image","I want to understand all the visual elements that contribute to a reference image's impact","I'm building a detailed prompt that includes scene, objects, style, and composition information"],"best_for":["Prompt engineers building detailed, multi-faceted prompts for complex image generation","Designers analyzing reference images with multiple layers of visual information","Content creators building comprehensive image descriptions for accessibility or archival"],"limitations":["Prompt synthesis approach is undocumented; unclear how multiple analytical layers are combined","No information on how conflicts between layers are resolved (e.g., style vs. scene requirements)","Unclear if detail hierarchy is optimized for specific image generation models or generic","No documentation on output prompt length or token count for different detail levels","Unclear if users can control detail level or if it's automatically determined","No information on how hierarchical extraction handles images with sparse or dense detail"],"requires":["Image with multiple layers of visual information","Modern web browser with JavaScript enabled","Internet connection"],"input_types":["image/png","image/jpeg","image/webp"],"output_types":["text/plain (hierarchical prompts)","application/json (structured multi-layer metadata)"],"categories":["image-visual","data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_image2prompts__cap_2","uri":"capability://text.generation.language.multi.language.prompt.generation","name":"multi-language-prompt-generation","description":"Generates image prompts in multiple languages beyond English, enabling international users to create prompts in their native language for use with multilingual image generation models. The specific languages supported are undocumented; implementation approach (language detection, translation, or native generation) is unknown. No information on whether prompts are translated from English or generated natively in target language.","intents":["I need to generate prompts in Spanish/French/Japanese for use with Midjourney's multilingual support","I want to analyze images and receive descriptions in my native language rather than English","I'm building a design tool for non-English-speaking teams and need prompt generation in multiple languages"],"best_for":["International designers and content creators working in non-English languages","Teams building multilingual design tools or image generation workflows","Users of multilingual image generation models (Midjourney, Stable Diffusion with language-specific training)"],"limitations":["Supported languages are completely undocumented; no language list provided on website","No information on whether prompts are translated from English or generated natively in target language; translation quality is unverifiable","Language selection mechanism is undocumented; unclear if automatic detection or manual selection","Quality variance across languages is unknown; English optimization may not translate to other languages","No documentation on how language-specific terminology (e.g., art styles, photography terms) is handled across languages","Unclear if multilingual support extends to batch processing or only single-image mode"],"requires":["Modern web browser with JavaScript enabled","Image file in PNG, JPG, or WEBP format","Internet connection","No explicit language selection UI documented; may require browser language settings or manual input"],"input_types":["image/png","image/jpeg","image/webp"],"output_types":["text/plain (prompts in target language)","application/json (structured prompts)"],"categories":["text-generation-language","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_image2prompts__cap_3","uri":"capability://tool.use.integration.chrome.extension.right.click.context.menu.integration","name":"chrome-extension-right-click-context-menu-integration","description":"Provides a Chrome browser extension enabling users to right-click any image on the web and instantly generate a prompt without navigating to the Image2Prompts website. The extension integrates into the browser's context menu for seamless workflow integration. Implementation details are completely undocumented; unclear whether the extension performs local analysis or communicates with the web service backend.","intents":["I'm browsing Pinterest/Dribbble and want to instantly generate prompts for reference images without leaving the page","I need to quickly analyze images across multiple websites in my research workflow without context-switching","I want to build a personal image library with auto-generated prompts as I browse the web"],"best_for":["Designers and prompt engineers who spend significant time browsing reference images on the web","Researchers building image libraries from web sources with automated prompt tagging","Users who want to minimize friction between discovering reference images and generating prompts"],"limitations":["Chrome-only; no Firefox, Safari, or Edge extension documented","Functionality is completely undocumented; unclear if extension performs analysis locally or sends images to server","No information on how extension handles authentication, rate limiting, or quota management","Privacy implications are undocumented; unclear if images are logged, cached, or transmitted to third parties","No documentation on extension permissions required or data access scope","Unclear if extension supports batch processing or only single-image right-click analysis","No version history or update mechanism documented","Cross-origin image handling is undocumented; unclear if extension works with images from all domains or has restrictions"],"requires":["Google Chrome browser (version unspecified)","Chrome extension installed from Chrome Web Store (link not provided in analysis)","Internet connection","Active Image2Prompts account or free tier access (authentication mechanism unknown)"],"input_types":["image/png","image/jpeg","image/webp","images embedded in web pages"],"output_types":["text/plain (prompt text)","clipboard copy (inferred)","browser notification (inferred)"],"categories":["tool-use-integration","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_image2prompts__cap_4","uri":"capability://data.processing.analysis.text.and.json.prompt.export","name":"text-and-json-prompt-export","description":"Exports generated prompts in both plain text and JSON formats, enabling integration with downstream tools and workflows. Plain text export provides human-readable prompts for manual use or copy-paste into image generators. JSON export provides structured data with metadata (e.g., detected objects, style descriptors, composition elements) for programmatic consumption. Export mechanism and JSON schema are undocumented.","intents":["I need to copy a generated prompt into Midjourney or Stable Diffusion for image generation","I want to export prompts as JSON to build a structured database of image descriptions for my design system","I'm building a tool that consumes Image2Prompts output and need structured data with metadata"],"best_for":["Individual users doing manual image generation who need copy-paste-ready prompts","Developers building tools that consume Image2Prompts output programmatically","Teams building design asset databases with structured metadata"],"limitations":["JSON schema is completely undocumented; unclear what fields are included, data types, or nesting structure","No information on whether JSON includes confidence scores, detected objects, style tags, or other metadata","Export mechanism is undocumented; unclear if exports are automatic, manual button-click, or API-driven","No batch export documented; unclear if users can export multiple prompts at once or must export individually","No information on file naming, timestamp inclusion, or metadata preservation in exports","Unclear if exported JSON is compatible with any standard schema or tool ecosystem","No documentation on export size limits or performance for large batches"],"requires":["Modern web browser with JavaScript enabled","Generated prompt from Image2Prompts","Text editor or JSON parser for consuming exported data","No API key or authentication required for export"],"input_types":["generated prompts (internal)"],"output_types":["text/plain (plain text prompts)","application/json (structured prompt data)"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_image2prompts__cap_5","uri":"capability://tool.use.integration.zero.friction.freemium.access.without.signup","name":"zero-friction-freemium-access-without-signup","description":"Provides full image-to-prompt generation capability without requiring user registration, email verification, or account creation. Users can immediately upload images and generate prompts with a single click. The freemium model claims 'no limits, no watermarks, and no hidden fees' on the free tier, though upgrade triggers and premium features are undocumented. No user accounts means no processing history, saved prompts, or personalization.","intents":["I want to try image-to-prompt generation without committing to an account or providing my email","I need to quickly generate a single prompt without friction or signup overhead","I'm evaluating whether this tool fits my workflow before investing time in account setup"],"best_for":["Casual users and designers experimenting with image-to-prompt generation for the first time","Users with privacy concerns who want to avoid account creation and data collection","Teams evaluating the tool before committing to paid tier or integration"],"limitations":["No user accounts means no processing history, saved prompts, or favorites; users cannot retrieve previous results","No personalization or preference learning; each session starts from scratch","Stateless design prevents iterative refinement or prompt versioning","Free tier limits are undocumented; unclear if there are hidden rate limits, daily quotas, or batch size restrictions that trigger paywall","Upgrade path is completely undocumented; no pricing page or premium feature list available","No information on what triggers upgrade pressure or when free tier becomes insufficient","Sustainability model is unknown; unclear how service is monetized or funded","No SLA or uptime guarantee for free tier; service could be discontinued without notice"],"requires":["Modern web browser with JavaScript enabled","Internet connection","No email, password, or account creation required","No API key or authentication required"],"input_types":["image/png","image/jpeg","image/webp"],"output_types":["text/plain (prompts)","application/json (structured data)"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_image2prompts__cap_6","uri":"capability://image.visual.scene.and.environment.recognition","name":"scene-and-environment-recognition","description":"Analyzes image composition to identify and describe the scene type, environment, background elements, and spatial context. The system recognizes indoor/outdoor settings, location types (beach, forest, urban, etc.), weather conditions, time of day, and environmental characteristics. Implementation uses undisclosed vision-language model; accuracy and specificity are unverified beyond marketing claims.","intents":["I need to describe the setting of a reference image in detail for prompt generation","I want to understand what environmental elements contribute to the overall mood of an image","I'm analyzing multiple reference images and need consistent scene descriptions for comparison"],"best_for":["Designers and artists who need detailed scene descriptions for reference images","Prompt engineers building complex environmental descriptions for image generation","Content creators analyzing visual composition of reference materials"],"limitations":["Accuracy is unverified; no ground-truth metrics or benchmarks provided","Unclear how the system handles ambiguous scenes, mixed environments, or abstract settings","No information on how scene recognition integrates with other analytical capabilities (object detection, style extraction)","Unclear if scene recognition is a separate pipeline or integrated into overall prompt generation","No documentation on handling of unusual or non-photorealistic scenes (paintings, illustrations, 3D renders)","Confidence scores or uncertainty quantification are undocumented"],"requires":["Image with identifiable scene or environment","Modern web browser with JavaScript enabled","Internet connection"],"input_types":["image/png","image/jpeg","image/webp"],"output_types":["text/plain (scene descriptions)","application/json (structured scene metadata)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_image2prompts__cap_7","uri":"capability://image.visual.object.and.subject.detection","name":"object-and-subject-detection","description":"Identifies and catalogs objects, people, animals, and other subjects present in images, extracting their characteristics for prompt generation. The system recognizes object types, quantities, poses, interactions, and visual properties. Implementation uses undisclosed vision model; detection accuracy and specificity are unverified. Unclear whether detection is rule-based, deep learning-based, or hybrid.","intents":["I need to list all objects and subjects in a reference image to build a detailed prompt","I want to understand what elements are present in an image before generating a prompt","I'm analyzing multiple images and need consistent object identification across them"],"best_for":["Prompt engineers building detailed object-level descriptions for image generation","Designers analyzing reference images for composition and subject matter","Content creators tagging image libraries with object metadata"],"limitations":["Detection accuracy is unverified; no precision/recall metrics or benchmarks provided","Unclear how system handles occlusion, overlapping objects, or partially visible subjects","No information on object taxonomy or naming conventions used","Confidence scores or detection uncertainty are undocumented","Unclear if system detects fine-grained attributes (e.g., 'red car' vs. 'car') or only object types","No documentation on handling of abstract objects, text, or non-physical entities","Unclear if object detection is integrated with spatial reasoning (e.g., 'person standing on beach')"],"requires":["Image with identifiable objects or subjects","Modern web browser with JavaScript enabled","Internet connection"],"input_types":["image/png","image/jpeg","image/webp"],"output_types":["text/plain (object descriptions)","application/json (structured object metadata)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_image2prompts__cap_8","uri":"capability://image.visual.artistic.style.and.aesthetic.extraction","name":"artistic-style-and-aesthetic-extraction","description":"Analyzes visual style, artistic movements, color palettes, texture characteristics, and aesthetic qualities of images. The system identifies style descriptors (e.g., 'impressionist', 'cyberpunk', 'minimalist'), color schemes, visual effects, and artistic influences. Implementation approach is undocumented; unclear whether style recognition uses predefined taxonomy, learned embeddings, or hybrid approach.","intents":["I need to identify the artistic style of a reference image to replicate it in generated images","I want to extract color palette and aesthetic characteristics for design consistency","I'm analyzing multiple reference images to understand a cohesive visual style"],"best_for":["Designers and artists analyzing reference images for style replication","Prompt engineers building style-focused prompts for image generation","Creative directors establishing visual consistency across design projects"],"limitations":["Style taxonomy is undocumented; unclear what style descriptors are recognized","Accuracy is unverified; subjective nature of style makes ground-truth evaluation difficult","Unclear how system handles hybrid styles, genre-blending, or contemporary/emerging styles","No information on color palette extraction specificity (e.g., RGB values vs. descriptive names)","Confidence scores or style uncertainty are undocumented","Unclear if style extraction is separate from overall prompt generation or integrated","No documentation on handling of non-visual style elements (e.g., mood, tone, atmosphere)"],"requires":["Image with identifiable artistic style or aesthetic","Modern web browser with JavaScript enabled","Internet connection"],"input_types":["image/png","image/jpeg","image/webp"],"output_types":["text/plain (style descriptions)","application/json (structured style metadata)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_image2prompts__cap_9","uri":"capability://image.visual.emotional.tone.and.atmosphere.analysis","name":"emotional-tone-and-atmosphere-analysis","description":"Analyzes emotional qualities, mood, atmosphere, and psychological impact of images. The system identifies emotional descriptors (e.g., 'melancholic', 'energetic', 'serene'), atmospheric qualities (e.g., 'dramatic', 'peaceful'), and emotional context. Implementation approach is undocumented; unclear whether analysis uses sentiment models, aesthetic embeddings, or rule-based heuristics.","intents":["I need to capture the emotional mood of a reference image in a prompt","I want to understand the atmospheric qualities that make an image compelling","I'm analyzing reference images to establish consistent emotional tone across a project"],"best_for":["Designers and artists creating emotionally resonant imagery","Prompt engineers building mood-focused prompts for image generation","Content creators analyzing emotional impact of reference materials"],"limitations":["Emotional analysis is highly subjective; accuracy and consistency are unverified","No ground-truth metrics or benchmarks provided","Unclear how system handles cultural differences in emotional interpretation","No information on emotional descriptor taxonomy or vocabulary used","Confidence scores or emotional uncertainty are undocumented","Unclear if emotional analysis is separate from overall prompt generation or integrated","No documentation on handling of mixed or contradictory emotional signals"],"requires":["Image with identifiable emotional or atmospheric qualities","Modern web browser with JavaScript enabled","Internet connection"],"input_types":["image/png","image/jpeg","image/webp"],"output_types":["text/plain (emotional descriptions)","application/json (structured emotional metadata)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["Modern web browser with JavaScript enabled (Chrome, Firefox, Safari, Edge)","Image file in PNG, JPG, or WEBP format","Internet connection (despite 'local processing' claims, server-side inference is required)","Maximum 10MB file size per image","No API key or authentication required for free tier","Modern web browser with JavaScript enabled","Multiple image files in PNG, JPG, or WEBP format","Each image must be under 10MB (total batch size limit unknown)","Stable internet connection (batch uploads may timeout on slow connections)","Image with identifiable compositional elements"],"failure_modes":["Outputs are optimized for Midjourney v6 and Stable Diffusion; performance with other models (DALL-E, Nano Banana, custom models) is unverified and likely degraded","No transparency on underlying vision model or accuracy metrics — '99% Accuracy Rate' is undefined and unverifiable","Batch processing limits are undocumented; unclear if concurrent requests are queued, rate-limited, or fail silently","No user accounts or processing history; stateless design prevents iterative refinement or prompt versioning","Maximum 10MB file size may exclude high-resolution reference images or multi-page documents","Processing latency is undocumented; 'instantly' claims lack concrete SLA or performance benchmarks","No API access documented; tool is web UI only, preventing programmatic integration into design workflows","Privacy claims contradict technical reality — local browser processing is implausible for generative text synthesis; actual data handling post-processing is undocumented","Batch size limits are completely undocumented; unclear if there's a hard cap (e.g., 10, 50, 100 images) or soft degradation","No progress tracking or per-image status visibility; users cannot distinguish between processing, queued, or failed images","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.72,"ecosystem":0.15000000000000002,"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":"2026-05-24T12:16:31.445Z","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=image2prompts","compare_url":"https://unfragile.ai/compare?artifact=image2prompts"}},"signature":"DFvWiV7SIfV00IBflFc389K7wxP7F1zwPlKGF/F4sCfJH5Vd/a+P09LcO2f2JRI4Dkvuvqt5b3yCqDT/Ll0MCQ==","signedAt":"2026-06-21T10:40:16.326Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/image2prompts","artifact":"https://unfragile.ai/image2prompts","verify":"https://unfragile.ai/api/v1/verify?slug=image2prompts","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"}}