{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_storia-textify","slug":"storia-textify","name":"Storia Textify","type":"product","url":"https://textify.storia.ai","page_url":"https://unfragile.ai/storia-textify","categories":["automation"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_storia-textify__cap_0","uri":"capability://image.visual.ai.generated.image.text.detection.and.localization","name":"ai-generated image text detection and localization","description":"Detects and localizes text regions within AI-generated images using computer vision techniques (likely OCR with bounding box regression or text detection models like CRAFT or EAST). The system identifies text boundaries, orientation, and spatial positioning to enable targeted replacement without affecting surrounding image content. This preprocessing step is critical for accurate text replacement workflows.","intents":["I need to identify where text appears in my generated image so I can replace it programmatically","I want to extract the exact coordinates and dimensions of text regions for precise editing","I need to handle text at various angles and sizes within a single image"],"best_for":["Designers building batch image editing pipelines","Marketing teams automating social media graphic generation","Developers integrating text-on-image workflows into larger applications"],"limitations":["Accuracy degrades significantly with small fonts (< 12px) or heavily stylized text","May struggle with text overlaid on complex backgrounds or gradients","Performance depends on image resolution; very high-resolution images (>4K) may incur latency penalties","Cannot detect or localize text in rotated/skewed orientations beyond ~45 degrees"],"requires":["Image file in JPEG, PNG, or WebP format","Minimum image resolution of 512x512 pixels recommended","Internet connection for cloud-based detection service"],"input_types":["image (JPEG, PNG, WebP)"],"output_types":["structured data (JSON with bounding boxes, confidence scores, detected text)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_storia-textify__cap_1","uri":"capability://image.visual.text.replacement.with.font.and.style.preservation","name":"text replacement with font and style preservation","description":"Replaces detected text in images while attempting to preserve or infer the original font family, size, color, and styling (bold, italic, shadow effects). The system likely uses font matching algorithms and color sampling from the source text region, then renders new text using the matched or user-specified font before compositing it back into the image using alpha blending or inpainting techniques.","intents":["I want to change the text in my image but keep the same visual style and appearance","I need to update product names or pricing in marketing graphics without regenerating them","I want to A/B test different copy on the same image without losing design consistency"],"best_for":["Social media managers iterating on promotional graphics","E-commerce teams updating product descriptions in generated images","Designers prototyping multiple text variations quickly"],"limitations":["Font matching is heuristic-based and may not perfectly replicate rare or custom fonts","Text replacement quality degrades if new text is significantly longer/shorter than original (may overflow or look sparse)","Cannot preserve complex text effects like gradients, patterns, or 3D transforms","Color sampling may fail if original text has low contrast or blends with background","Compositing artifacts may appear at text boundaries if source image has compression or noise"],"requires":["Detected text regions from text detection capability","User-provided replacement text string","Optional: font family name (falls back to detected font if not specified)","Optional: color specification (hex, RGB, or auto-detected)"],"input_types":["image (JPEG, PNG, WebP)","text (replacement string)","structured data (font name, color, size)"],"output_types":["image (JPEG, PNG, WebP with replaced text)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_storia-textify__cap_2","uri":"capability://automation.workflow.batch.text.replacement.across.multiple.images","name":"batch text replacement across multiple images","description":"Processes multiple images in a single operation, applying text replacements to each image according to a mapping (e.g., image ID → replacement text). The system queues images, detects text in parallel, applies replacements, and returns all edited images. This capability enables efficient workflows for teams generating dozens of variations of the same design.","intents":["I need to update text in 50 social media graphics at once without doing them one-by-one","I want to generate multiple language versions of the same image by replacing text","I need to create A/B test variants with different copy on the same base image"],"best_for":["Marketing teams managing large-scale promotional campaigns","Localization teams creating multi-language versions of graphics","Agencies producing high-volume client deliverables"],"limitations":["Batch processing may queue requests if server capacity is limited; no guaranteed SLA for completion time","No built-in progress tracking or webhook notifications for batch completion","Maximum batch size unknown; may have per-request or per-hour rate limits","All images in a batch must be processed with the same replacement rules (no per-image customization within a single batch)"],"requires":["Multiple image files (JPEG, PNG, WebP)","Mapping of image identifiers to replacement text","Internet connection for cloud processing"],"input_types":["image (JPEG, PNG, WebP) — multiple","structured data (batch configuration with image-to-text mappings)"],"output_types":["image (JPEG, PNG, WebP) — multiple, one per input"],"categories":["automation-workflow","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_storia-textify__cap_3","uri":"capability://automation.workflow.interactive.text.editing.ui.with.live.preview","name":"interactive text editing ui with live preview","description":"Provides a web-based interface where users upload an image, the system detects and displays text regions, and users can click to edit text with real-time preview of changes. The UI likely uses canvas rendering or WebGL for fast client-side preview, with server-side processing triggered on save. This enables rapid iteration without waiting for full processing between edits.","intents":["I want to see how my text changes look before committing them","I need a quick, intuitive way to edit multiple text blocks in one image","I want to try different text variations and compare them side-by-side"],"best_for":["Non-technical users (social media managers, small business owners)","Designers who prefer visual iteration over command-line workflows","Teams needing fast feedback loops on design changes"],"limitations":["Live preview may have latency (100-500ms) depending on image size and server load","Browser-based UI limits to web-accessible image formats; no support for proprietary design file formats (PSD, Figma)","No undo/redo history; edits are applied sequentially without rollback capability","UI responsiveness may degrade with very large images (>8K resolution) due to canvas rendering constraints"],"requires":["Modern web browser (Chrome, Firefox, Safari, Edge)","JavaScript enabled","Image file accessible via HTTP/HTTPS or uploadable to server"],"input_types":["image (JPEG, PNG, WebP) — uploaded or URL","user interaction (text input, font selection, color picker)"],"output_types":["image (JPEG, PNG, WebP) — downloadable","visual feedback (live preview in browser)"],"categories":["automation-workflow","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_storia-textify__cap_4","uri":"capability://image.visual.font.family.auto.detection.and.matching","name":"font family auto-detection and matching","description":"Analyzes the visual characteristics of detected text (stroke width, serif presence, letter spacing, x-height ratio) and matches it against a database of common fonts to infer the original font family. Uses perceptual hashing or feature-based matching rather than exact font identification, enabling reasonable approximations even when the exact font is unavailable. Fallback logic selects similar fonts if exact match fails.","intents":["I want the replacement text to look like it was always part of the original design","I need to maintain visual consistency when I don't know what font was used in the generated image","I want to avoid jarring font mismatches that break the design aesthetic"],"best_for":["Designers working with AI-generated images where font metadata is unavailable","Teams needing consistent branding across multiple image variations","Users without design expertise who can't manually specify fonts"],"limitations":["Font matching is probabilistic; accuracy depends on text size and clarity (small text <12px may fail)","Rare or custom fonts cannot be matched; system falls back to generic serif/sans-serif approximations","Stylized or decorative fonts may be misidentified as standard fonts","Font matching adds 200-500ms latency per image due to feature extraction and database lookup","Limited to fonts available in the system's font library (typically 100-500 common fonts)"],"requires":["Detected text region with sufficient size and clarity","Access to font matching database/model","Optional: user override to manually specify font"],"input_types":["image (text region extracted from larger image)","structured data (text bounding box, detected text content)"],"output_types":["structured data (matched font family name, confidence score, fallback options)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_storia-textify__cap_5","uri":"capability://image.visual.color.extraction.and.preservation.from.source.text","name":"color extraction and preservation from source text","description":"Samples the color(s) of detected text regions using pixel-level analysis, handling cases where text has gradients, shadows, or anti-aliasing. Extracts dominant color(s) and applies them to replacement text using the same rendering technique (solid color, gradient, or shadow effect). Uses histogram analysis or k-means clustering to identify primary and secondary colors in the text region.","intents":["I want my replacement text to match the color scheme of the original","I need to preserve text shadows or gradient effects when changing the text content","I want to maintain visual hierarchy and contrast in the design"],"best_for":["Designers maintaining brand color consistency","Teams creating multiple variations with consistent visual styling","Users without color theory knowledge who need automatic color matching"],"limitations":["Color extraction fails if text has very low contrast with background (< 20% contrast ratio)","Gradient or shadow effects are approximated; exact replication may not be possible","Anti-aliasing artifacts may skew color sampling; results may include background colors","Color matching assumes consistent lighting; may fail on images with uneven illumination","Limited to RGB color space; no support for CMYK or other color models"],"requires":["Detected text region with sufficient size and contrast","Pixel-level access to source image data"],"input_types":["image (text region)","structured data (text bounding box)"],"output_types":["structured data (RGB color values, gradient parameters, shadow parameters)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_storia-textify__cap_6","uri":"capability://image.visual.image.quality.and.text.clarity.assessment","name":"image quality and text clarity assessment","description":"Evaluates whether an uploaded image is suitable for text replacement by analyzing text clarity, resolution, compression artifacts, and overall image quality. Computes metrics like sharpness (Laplacian variance), contrast ratio, and compression level to determine confidence in text detection and replacement. Provides warnings or rejection if quality is too low, preventing poor-quality outputs.","intents":["I want to know if my image is good enough for text editing before I start","I need feedback on why text replacement failed or produced poor results","I want to avoid wasting time on images that won't produce good edits"],"best_for":["Teams processing user-uploaded images with variable quality","Workflows requiring quality gates before expensive processing","Users debugging why their images aren't producing good results"],"limitations":["Quality assessment is heuristic-based; may reject images that could actually be edited successfully","No way to improve image quality within the tool (e.g., upscaling, denoising)","Metrics are image-level; cannot assess quality of individual text regions","Assessment adds 100-300ms latency per image"],"requires":["Image file in JPEG, PNG, or WebP format","Minimum resolution of 256x256 pixels"],"input_types":["image (JPEG, PNG, WebP)"],"output_types":["structured data (quality score 0-100, warnings, rejection reason if applicable)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_storia-textify__cap_7","uri":"capability://automation.workflow.export.and.format.conversion.with.quality.control","name":"export and format conversion with quality control","description":"Exports edited images in multiple formats (JPEG, PNG, WebP) with user-configurable quality settings (compression level, bit depth). Handles format-specific optimizations (e.g., PNG transparency, JPEG quality slider, WebP lossy/lossless modes). Includes options for batch export with consistent settings across multiple images.","intents":["I need to export my edited image in the right format for my use case (web, print, social media)","I want to control file size and quality trade-offs","I need to export multiple images with consistent quality settings"],"best_for":["Designers optimizing images for different platforms","Teams managing file size constraints (e.g., email attachments, social media uploads)","Users needing batch export with consistent settings"],"limitations":["No support for advanced formats like HEIF, AVIF, or TIFF","Quality settings are format-specific; no unified quality slider across formats","No built-in image optimization (e.g., metadata stripping, color space conversion)","Export may take 1-5 seconds per image depending on resolution and format"],"requires":["Edited image in memory or temporary storage","User-specified format and quality parameters"],"input_types":["image (internal representation)","structured data (format, quality settings)"],"output_types":["image (JPEG, PNG, WebP) — downloadable or storable"],"categories":["automation-workflow","image-visual"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Image file in JPEG, PNG, or WebP format","Minimum image resolution of 512x512 pixels recommended","Internet connection for cloud-based detection service","Detected text regions from text detection capability","User-provided replacement text string","Optional: font family name (falls back to detected font if not specified)","Optional: color specification (hex, RGB, or auto-detected)","Multiple image files (JPEG, PNG, WebP)","Mapping of image identifiers to replacement text","Internet connection for cloud processing"],"failure_modes":["Accuracy degrades significantly with small fonts (< 12px) or heavily stylized text","May struggle with text overlaid on complex backgrounds or gradients","Performance depends on image resolution; very high-resolution images (>4K) may incur latency penalties","Cannot detect or localize text in rotated/skewed orientations beyond ~45 degrees","Font matching is heuristic-based and may not perfectly replicate rare or custom fonts","Text replacement quality degrades if new text is significantly longer/shorter than original (may overflow or look sparse)","Cannot preserve complex text effects like gradients, patterns, or 3D transforms","Color sampling may fail if original text has low contrast or blends with background","Compositing artifacts may appear at text boundaries if source image has compression or noise","Batch processing may queue requests if server capacity is limited; no guaranteed SLA for completion time","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":0.75,"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":"2026-05-24T12:16:33.648Z","last_scraped_at":"2026-04-05T13:23:42.559Z","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=storia-textify","compare_url":"https://unfragile.ai/compare?artifact=storia-textify"}},"signature":"MCwgYF2LgHNrGmuAdOsJce8ICInizIZULiPEFu7UF4SPBsrYAfB/0Jg/O7AExVUJSXKJhKgjlYb4KaOdaKK4Aw==","signedAt":"2026-06-20T19:13:52.785Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/storia-textify","artifact":"https://unfragile.ai/storia-textify","verify":"https://unfragile.ai/api/v1/verify?slug=storia-textify","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"}}