{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_icecream-apps-ltd","slug":"icecream-apps-ltd","name":"Icecream Apps Ltd","type":"product","url":"https://icecreamapps.com","page_url":"https://unfragile.ai/icecream-apps-ltd","categories":["automation"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_icecream-apps-ltd__cap_0","uri":"capability://image.visual.low.latency.screen.recording.with.real.time.codec.selection","name":"low-latency screen recording with real-time codec selection","description":"Captures full-screen or region-based video using hardware-accelerated encoding (H.264/H.265) with adaptive bitrate management to minimize CPU overhead during recording. The implementation monitors system resources in real-time and automatically adjusts codec parameters to maintain frame rate stability while producing broadcast-quality output without requiring post-processing optimization.","intents":["Record tutorial videos or gameplay without system lag affecting performance","Capture high-quality screen content for presentations while running resource-intensive applications","Create screen recordings that require minimal CPU usage on older or lower-spec machines"],"best_for":["Content creators and educators recording tutorials on budget hardware","Small business owners creating product demos without dedicated video production tools","Users on systems with limited CPU/GPU resources who need reliable recording"],"limitations":["No support for multi-monitor synchronized recording — records single display only","Advanced codec tuning options unavailable; users cannot manually adjust bitrate or quality presets","Post-recording editing capabilities limited to basic trimming and format conversion"],"requires":["Windows 7+ or macOS 10.12+","GPU with H.264 encoding support (Intel Quick Sync, NVIDIA NVENC, or AMD VCE)","Minimum 2GB free disk space for 1-hour recording at 1080p"],"input_types":["screen region selection","audio input (system audio, microphone, or both)"],"output_types":["MP4 (H.264/H.265)","AVI (uncompressed or codec-based)","WebM (VP8/VP9)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_icecream-apps-ltd__cap_1","uri":"capability://image.visual.batch.image.format.conversion.with.embedded.metadata.preservation","name":"batch image format conversion with embedded metadata preservation","description":"Converts images across 20+ formats (JPEG, PNG, WebP, TIFF, BMP, GIF, ICO, SVG) while preserving EXIF metadata, color profiles, and transparency channels through a queue-based processing pipeline. The tool applies lossless or lossy compression based on format compatibility and allows batch operations on folder hierarchies with recursive subdirectory support.","intents":["Convert entire photo libraries from camera RAW or TIFF to web-optimized WebP or JPEG formats in bulk","Preserve photo metadata (GPS, camera settings, timestamps) when converting between formats for archival","Resize and convert multiple images simultaneously while maintaining color accuracy across different color spaces"],"best_for":["Photographers and content creators managing large image libraries requiring format standardization","Web developers preparing image assets for multi-format delivery (JPEG, WebP, AVIF fallbacks)","Small businesses digitizing physical media or legacy image collections"],"limitations":["No support for RAW camera formats (CR2, NEF, ARW) — requires pre-conversion to standard formats","Batch processing limited to 500 images per operation; larger batches require manual queue splitting","No advanced color grading or profile conversion beyond basic sRGB/Adobe RGB support"],"requires":["Windows 7+ or macOS 10.12+","Minimum 512MB RAM for batch operations","Disk space equal to 2-3x the source image size for temporary processing files"],"input_types":["JPEG, PNG, BMP, GIF, TIFF, ICO, WebP, SVG, PSD (basic)"],"output_types":["JPEG (with quality slider 1-100)","PNG (8-bit or 24-bit with alpha)","WebP (lossy or lossless)","TIFF (compressed or uncompressed)","BMP, GIF, ICO"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_icecream-apps-ltd__cap_2","uri":"capability://image.visual.lightweight.pdf.document.editing.with.annotation.and.form.filling","name":"lightweight pdf document editing with annotation and form filling","description":"Provides in-place PDF modification capabilities including text annotation, shape drawing, signature insertion, and interactive form field population without requiring full PDF re-rendering or external dependencies. The implementation uses a lightweight PDF parser that preserves document structure and allows incremental updates, avoiding the overhead of tools like Adobe Acrobat.","intents":["Add comments, highlights, and sticky notes to PDF documents for review workflows","Fill out PDF forms (text fields, checkboxes, dropdowns) and save completed documents","Insert digital signatures or initials into PDF documents for approval workflows"],"best_for":["Small business owners and freelancers handling document reviews and form submissions","Remote teams collaborating on document markup without cloud storage dependencies","Users seeking lightweight PDF editing without Adobe Acrobat subscription costs"],"limitations":["No support for complex PDF features: embedded JavaScript, 3D objects, or advanced security encryption","Text editing limited to form fields and annotations — cannot modify existing document text directly","Signature insertion is image-based only; no cryptographic signature validation or timestamping"],"requires":["Windows 7+ or macOS 10.12+","Minimum 256MB RAM","PDF file size limit of 500MB per document"],"input_types":["PDF (standard, forms-enabled, or scanned)"],"output_types":["PDF (with annotations and form data embedded)","PDF (flattened, with annotations merged into document)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_icecream-apps-ltd__cap_3","uri":"capability://automation.workflow.modular.tool.installation.with.selective.component.loading","name":"modular tool installation with selective component loading","description":"Implements a component-based architecture where users install only required utilities (Screen Recorder, Image Editor, PDF Editor, etc.) as independent modules, each with isolated dependencies and registry entries. The installer uses a manifest-driven approach to prevent bloat by excluding unused tools and their associated libraries from the system, reducing overall disk footprint and startup overhead.","intents":["Install only the screen recording tool without downloading image editing or PDF utilities","Minimize system resource consumption by excluding unnecessary applications from memory and disk","Update individual tools independently without affecting other installed utilities"],"best_for":["Budget-conscious users with limited disk space or older systems","Organizations managing multiple machines where different departments need different tools","Users who want lightweight, focused applications rather than monolithic suites"],"limitations":["No shared library optimization — each module bundles its own dependencies, potentially duplicating common libraries across tools","Uninstalling individual tools requires manual registry cleanup on Windows; no built-in dependency resolution","Cross-tool workflows (e.g., screen recording → image editing) require manual file export/import between applications"],"requires":["Windows 7+ or macOS 10.12+","Administrator privileges for installation","Minimum 50MB free disk space per tool module"],"input_types":["installer manifest (JSON or XML configuration)"],"output_types":["installed application modules with isolated registry entries"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_icecream-apps-ltd__cap_4","uri":"capability://image.visual.simple.image.editing.with.non.destructive.layer.based.composition","name":"simple image editing with non-destructive layer-based composition","description":"Provides basic image manipulation (crop, resize, rotate, filter application) using a layer-based editing model where changes are stored as non-destructive transformations until final export. The implementation maintains separate layer objects for original image data and applied effects, allowing users to adjust or remove edits without quality loss, while keeping the interface minimal compared to professional tools like Photoshop.","intents":["Crop and resize photos for social media without losing original quality","Apply basic filters (brightness, contrast, saturation) and undo changes without re-opening the original file","Combine multiple images into a single composition using layer blending"],"best_for":["Social media managers and content creators needing quick image adjustments","Small business owners preparing product photos for websites or catalogs","Users seeking Photoshop-like non-destructive editing without the complexity or cost"],"limitations":["No advanced selection tools (magic wand, lasso, content-aware fill) — only rectangular and circular selections","Filter library limited to 15-20 basic effects; no custom filter creation or plugin support","Layer count limited to 20 per document; no layer groups or advanced blending modes beyond multiply/screen/overlay","No text tool or shape drawing capabilities"],"requires":["Windows 7+ or macOS 10.12+","Minimum 512MB RAM","GPU with OpenGL 2.0+ support for real-time filter preview"],"input_types":["JPEG, PNG, BMP, TIFF, WebP"],"output_types":["JPEG (with quality slider)","PNG (with alpha channel)","TIFF (compressed or uncompressed)","WebP","proprietary .ice format (preserves layers for future editing)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_icecream-apps-ltd__cap_5","uri":"capability://data.processing.analysis.audio.extraction.and.format.conversion.from.video.files","name":"audio extraction and format conversion from video files","description":"Extracts audio tracks from video files (MP4, AVI, MKV, WebM) and converts to multiple audio formats (MP3, WAV, AAC, FLAC, OGG) using hardware-accelerated decoding and software encoding pipelines. The tool supports batch processing with metadata preservation (ID3 tags, album art) and allows bitrate/sample-rate customization without requiring external command-line tools.","intents":["Extract audio from screen recordings or video tutorials for podcast or audio-only distribution","Convert video files to MP3 for music library or mobile device compatibility","Batch extract audio from multiple video files while preserving metadata"],"best_for":["Content creators converting video tutorials to audio-only formats","Podcasters extracting audio from video interviews or recordings","Users managing media libraries with format standardization needs"],"limitations":["No audio editing capabilities (mixing, EQ, compression) — extraction and conversion only","Batch processing limited to 100 files per operation","No support for DRM-protected video files (encrypted streams from streaming services)","Metadata extraction limited to common ID3 tags; specialized formats (Vorbis comments) not fully supported"],"requires":["Windows 7+ or macOS 10.12+","Minimum 256MB RAM","FFmpeg libraries (bundled with installer)"],"input_types":["MP4, AVI, MKV, WebM, MOV, FLV"],"output_types":["MP3 (with bitrate 128-320 kbps)","WAV (16-bit or 24-bit PCM)","AAC (8-320 kbps)","FLAC (lossless)","OGG Vorbis (quality 0-10)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_icecream-apps-ltd__cap_6","uri":"capability://data.processing.analysis.document.scanning.and.ocr.with.text.extraction","name":"document scanning and ocr with text extraction","description":"Converts scanned documents or images containing text into searchable, editable digital formats using optical character recognition (OCR) with support for 100+ languages. The implementation uses a cloud-based or local OCR engine to extract text while preserving document layout and formatting, outputting to PDF, DOCX, or plain text with configurable accuracy/speed tradeoffs.","intents":["Digitize paper documents and business forms into searchable PDF archives","Extract text from scanned receipts or invoices for data entry automation","Convert handwritten notes or printed materials into editable digital documents"],"best_for":["Small businesses digitizing paper records and invoices","Remote workers scanning documents for digital workflows","Organizations managing document archives requiring full-text search"],"limitations":["OCR accuracy degrades significantly on low-resolution scans (<150 DPI) or handwritten text","No support for complex layouts with multiple columns, tables, or mixed text/image content","Cloud-based OCR requires internet connection and may have privacy implications for sensitive documents","Batch processing limited to 50 pages per operation"],"requires":["Windows 7+ or macOS 10.12+","Internet connection (for cloud OCR) or 500MB disk space (for local OCR engine)","Minimum 512MB RAM"],"input_types":["JPEG, PNG, TIFF, PDF (scanned, image-based)"],"output_types":["PDF (searchable, with text layer overlay)","DOCX (with basic formatting preserved)","TXT (plain text extraction)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_icecream-apps-ltd__cap_7","uri":"capability://automation.workflow.batch.file.renaming.with.pattern.based.transformation.rules","name":"batch file renaming with pattern-based transformation rules","description":"Renames multiple files simultaneously using customizable pattern rules (regex, find-replace, sequential numbering, date/time insertion) with a live preview of changes before applying. The implementation parses user-defined rules into transformation pipelines and applies them to selected file sets while preserving file extensions and handling naming conflicts through collision detection.","intents":["Rename hundreds of photos from camera with sequential numbering and date stamps","Batch rename files to match naming conventions (camelCase, snake_case, kebab-case)","Remove or replace specific text patterns across file collections"],"best_for":["Photographers and content creators organizing large media libraries","System administrators managing file naming conventions across shared drives","Users organizing downloads or project files with consistent naming schemes"],"limitations":["No support for renaming based on file content or metadata (EXIF, ID3 tags) — pattern rules only","Regex support limited to basic patterns; advanced lookahead/lookbehind not available","No undo functionality after batch rename operation completes — requires manual reversal","Cannot rename files across different directories in single operation"],"requires":["Windows 7+ or macOS 10.12+","Read/write permissions on target directories","Minimum 50MB disk space"],"input_types":["file paths (selected via file browser or drag-drop)"],"output_types":["renamed files with preserved extensions"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["Windows 7+ or macOS 10.12+","GPU with H.264 encoding support (Intel Quick Sync, NVIDIA NVENC, or AMD VCE)","Minimum 2GB free disk space for 1-hour recording at 1080p","Minimum 512MB RAM for batch operations","Disk space equal to 2-3x the source image size for temporary processing files","Minimum 256MB RAM","PDF file size limit of 500MB per document","Administrator privileges for installation","Minimum 50MB free disk space per tool module","Minimum 512MB RAM"],"failure_modes":["No support for multi-monitor synchronized recording — records single display only","Advanced codec tuning options unavailable; users cannot manually adjust bitrate or quality presets","Post-recording editing capabilities limited to basic trimming and format conversion","No support for RAW camera formats (CR2, NEF, ARW) — requires pre-conversion to standard formats","Batch processing limited to 500 images per operation; larger batches require manual queue splitting","No advanced color grading or profile conversion beyond basic sRGB/Adobe RGB support","No support for complex PDF features: embedded JavaScript, 3D objects, or advanced security encryption","Text editing limited to form fields and annotations — cannot modify existing document text directly","Signature insertion is image-based only; no cryptographic signature validation or timestamping","No shared library optimization — each module bundles its own dependencies, potentially duplicating common libraries across tools","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"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":"2026-04-05T13:23:42.551Z","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=icecream-apps-ltd","compare_url":"https://unfragile.ai/compare?artifact=icecream-apps-ltd"}},"signature":"wgRJ/3IBD0ctiQ6KyY75jugook8H6Zvyql5LvD6tShwmZLdWaC7UUQO6LoFfFIAcj869aJm63E/MVNnChUjeAA==","signedAt":"2026-06-21T08:50:28.899Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/icecream-apps-ltd","artifact":"https://unfragile.ai/icecream-apps-ltd","verify":"https://unfragile.ai/api/v1/verify?slug=icecream-apps-ltd","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"}}