{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_tinywow","slug":"tinywow","name":"TinyWow","type":"webapp","url":"https://tinywow.com","page_url":"https://unfragile.ai/tinywow","categories":["automation"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_tinywow__cap_0","uri":"capability://data.processing.analysis.stateless.batch.file.format.conversion","name":"stateless batch file format conversion","description":"Converts multiple files across 50+ format combinations (image, video, audio, document, PDF) in a single browser session without server-side account persistence or file storage. Uses client-side or lightweight server-side transcoding pipelines that process files sequentially or in parallel queues, discarding outputs after download without retention. Architecture relies on standard codec libraries (FFmpeg for video/audio, ImageMagick or similar for images) wrapped in web-accessible endpoints that accept multipart form uploads and stream binary responses.","intents":["I need to convert 10 PNG images to JPEG format quickly without installing software","I want to batch-convert MP4 videos to WebM for web optimization without creating an account","I need to convert a Word document to PDF and back without storing files on a third-party server"],"best_for":["solo developers prototyping file pipeline workflows","non-technical users handling one-off format conversions","privacy-conscious teams avoiding account-based file services"],"limitations":["No advanced codec options (bitrate, quality presets, frame rate) — uses sensible defaults only","Batch processing limited to browser memory constraints; files >500MB may timeout or fail silently","No progress tracking or resumable uploads for interrupted conversions","Output quality is baseline/standard — no lossless or high-fidelity options for professional workflows"],"requires":["Modern web browser with FormData and Blob API support (Chrome 13+, Firefox 4+, Safari 5+)","Internet connection with stable upload/download bandwidth","File size under platform limits (typically 100-500MB per file depending on format)"],"input_types":["image (PNG, JPG, GIF, WebP, BMP, TIFF, SVG)","video (MP4, WebM, AVI, MOV, MKV, FLV)","audio (MP3, WAV, OGG, M4A, FLAC, AAC)","document (PDF, DOCX, XLSX, PPTX, TXT, ODT)","archive (ZIP, RAR, 7Z, TAR, GZIP)"],"output_types":["image (PNG, JPG, GIF, WebP, BMP, TIFF)","video (MP4, WebM, AVI, MOV, MKV)","audio (MP3, WAV, OGG, M4A, FLAC)","document (PDF, DOCX, XLSX, PPTX, TXT)","archive (ZIP, RAR, 7Z)"],"categories":["data-processing-analysis","file-conversion"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_tinywow__cap_1","uri":"capability://image.visual.client.side.or.lightweight.image.compression","name":"client-side or lightweight image compression","description":"Reduces image file size through lossy or lossless compression algorithms applied either in-browser (via JavaScript libraries like ImageMagick.js or Squoosh) or via minimal server-side processing. Supports JPEG quality reduction, PNG optimization via pngquant, WebP conversion for modern formats, and batch processing of multiple images with uniform compression settings. No machine learning or content-aware compression — uses standard codec parameters (quality slider, color palette reduction) to achieve size reduction.","intents":["I need to compress 50 product images for e-commerce without losing too much quality","I want to reduce PNG file sizes by 40% for faster web page load times","I need to convert images to WebP format for modern browser optimization"],"best_for":["web developers optimizing image assets for production","content creators preparing images for social media or email","teams without access to professional image editing software"],"limitations":["No content-aware compression — cannot intelligently preserve important image regions","Quality degradation is visible at high compression ratios; no preview before download","Batch compression applies identical settings to all files regardless of content type or original size","No support for advanced formats like HEIC or AVIF on older browsers"],"requires":["Modern web browser with Canvas API and Blob support","Images in standard formats (JPG, PNG, GIF, WebP, BMP)","File size under 100-200MB per batch depending on browser memory"],"input_types":["image (JPG, PNG, GIF, WebP, BMP, TIFF)"],"output_types":["image (JPG, PNG, WebP, GIF)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_tinywow__cap_10","uri":"capability://text.generation.language.url.encoding.and.decoding","name":"url encoding and decoding","description":"Encodes and decodes URLs, query parameters, and special characters using standard URL encoding schemes (percent-encoding, base64). Supports batch processing of multiple URLs. Uses standard encoding libraries to handle RFC 3986 compliance. No advanced URL manipulation like parsing, validation, or shortening — focuses on encoding/decoding operations.","intents":["I need to URL-encode special characters in a query parameter","I want to decode a URL-encoded string to see the original text","I need to batch-encode 100 URLs for API requests"],"best_for":["developers preparing URLs for API requests","teams handling URL parameter encoding for web applications","users debugging URL encoding issues"],"limitations":["No URL validation or structure parsing","No URL shortening or custom domain support","Base64 encoding is basic; no advanced encoding schemes","No support for internationalized domain names (IDN) without pre-conversion","Batch processing applies identical encoding to all URLs"],"requires":["URL or text string for encoding/decoding","Modern web browser with JavaScript support"],"input_types":["text (URL, query parameters, special characters)"],"output_types":["text (encoded or decoded URL/text)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_tinywow__cap_11","uri":"capability://data.processing.analysis.json.and.data.format.validation.and.formatting","name":"json and data format validation and formatting","description":"Validates JSON, XML, CSV, and YAML syntax and applies formatting operations including minification, pretty-printing, and indentation normalization. Uses standard parsing libraries to detect syntax errors and provide error messages. Supports batch processing of multiple files. No schema validation, data transformation, or semantic analysis — focuses on syntax checking and formatting.","intents":["I need to validate JSON syntax before deploying an API configuration","I want to minify JSON to reduce file size for production","I need to pretty-print XML for readability","I want to convert CSV to JSON format"],"best_for":["developers debugging data format issues","teams preparing data files for deployment","data analysts converting between formats"],"limitations":["No schema validation; only syntax checking","No data transformation or mapping between formats","CSV parsing assumes standard comma-delimited format; no custom delimiters","Error messages may be generic; no detailed syntax error locations","No support for streaming large files; must load entire file into memory"],"requires":["Data file in supported format (JSON, XML, CSV, YAML)","File size under 50-100MB depending on browser memory","Modern web browser with JSON parsing support"],"input_types":["text (JSON, XML, CSV, YAML)"],"output_types":["text (formatted JSON, XML, CSV, YAML)","structured data (validation results, error messages)"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_tinywow__cap_2","uri":"capability://data.processing.analysis.pdf.document.manipulation.and.conversion","name":"pdf document manipulation and conversion","description":"Enables basic PDF operations including conversion to/from image formats (PNG, JPG), text extraction via OCR or embedded text parsing, merging multiple PDFs, splitting PDFs by page range, and reordering pages. Uses standard PDF libraries (likely PDFKit, PyPDF2, or iText equivalents) for manipulation and Tesseract or similar for OCR when text extraction is needed. No form filling, signature verification, or advanced security features — focuses on structural transformations and format conversion.","intents":["I need to convert a PDF to images for embedding in a web page","I want to extract text from a scanned PDF document","I need to merge 5 PDF files into a single document","I want to split a 100-page PDF into individual page files"],"best_for":["document processors handling routine PDF transformations","teams managing scanned document workflows","developers prototyping PDF pipelines without specialized libraries"],"limitations":["OCR quality depends on document scan quality; handwritten text or poor scans fail silently","No form field detection or interactive element preservation during conversion","Merging/splitting operations may corrupt embedded fonts or complex layouts","No support for encrypted PDFs or password-protected documents","Text extraction from image-based PDFs requires OCR, which adds latency (5-30 seconds per page)"],"requires":["PDF file in standard format (PDF 1.4 or later)","File size under 100-500MB depending on page count","Modern web browser or server with PDF processing libraries installed"],"input_types":["document (PDF)","image (PNG, JPG, GIF, TIFF for conversion to PDF)"],"output_types":["document (PDF)","image (PNG, JPG)","text (plain text from OCR or embedded text)"],"categories":["data-processing-analysis","document-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_tinywow__cap_3","uri":"capability://data.processing.analysis.audio.format.conversion.and.basic.editing","name":"audio format conversion and basic editing","description":"Converts audio files between formats (MP3, WAV, OGG, M4A, FLAC, AAC) and applies basic transformations including volume adjustment, trimming to specific time ranges, and concatenation of multiple audio files. Uses FFmpeg or similar audio codec libraries to handle format transcoding and basic DSP operations. No advanced audio processing like EQ, compression, noise reduction, or effects — focuses on format compatibility and simple structural edits.","intents":["I need to convert a WAV file to MP3 for smaller file size and compatibility","I want to trim a 10-minute podcast to remove intro/outro segments","I need to merge 3 audio files into a single track","I want to adjust volume levels on an audio file before uploading"],"best_for":["content creators preparing audio for social media or podcasting","developers building simple audio pipeline tools","teams handling routine audio format conversions"],"limitations":["No advanced audio processing (EQ, compression, noise reduction, effects)","Trimming and concatenation may introduce brief audio artifacts or clicks at edit points","No waveform visualization or precise time-based editing interface","Batch processing applies identical settings to all files","No support for lossless formats beyond FLAC (no DSD, MQA, or hi-res audio)"],"requires":["Audio file in supported format (MP3, WAV, OGG, M4A, FLAC, AAC)","File size under 100-500MB depending on bitrate and duration","Modern web browser with audio playback support"],"input_types":["audio (MP3, WAV, OGG, M4A, FLAC, AAC, AIFF)"],"output_types":["audio (MP3, WAV, OGG, M4A, FLAC, AAC)"],"categories":["data-processing-analysis","audio-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_tinywow__cap_4","uri":"capability://data.processing.analysis.video.format.conversion.and.basic.transcoding","name":"video format conversion and basic transcoding","description":"Converts video files between formats (MP4, WebM, AVI, MOV, MKV, FLV) with adjustable codec parameters including bitrate, resolution scaling, and frame rate. Uses FFmpeg or similar video codec libraries to handle transcoding pipelines. Supports batch processing of multiple videos with uniform settings. No advanced video editing (cutting, effects, color grading) or AI-powered enhancement — focuses on format compatibility and codec optimization.","intents":["I need to convert a MOV file from my camera to MP4 for web compatibility","I want to reduce video resolution from 4K to 1080p for faster streaming","I need to convert videos to WebM format for modern browser support","I want to batch-convert 20 videos to a lower bitrate for storage optimization"],"best_for":["web developers optimizing video assets for streaming or embedding","content creators preparing videos for different platforms","teams managing video format standardization workflows"],"limitations":["No video editing capabilities (cutting, trimming, effects, color grading)","Transcoding is CPU-intensive; large files (>1GB) may timeout or require extended processing","No hardware acceleration (GPU encoding) — relies on CPU-based FFmpeg","Batch processing applies identical codec settings to all files regardless of content","No support for advanced codecs like AV1 or HEVC on all browsers","Output quality depends entirely on bitrate and codec choice; no AI upscaling or enhancement"],"requires":["Video file in supported format (MP4, WebM, AVI, MOV, MKV, FLV, MPEG)","File size under 500MB-2GB depending on duration and server resources","Modern web browser with HTML5 video support"],"input_types":["video (MP4, WebM, AVI, MOV, MKV, FLV, MPEG, 3GP)"],"output_types":["video (MP4, WebM, AVI, MOV, MKV, FLV)"],"categories":["data-processing-analysis","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_tinywow__cap_5","uri":"capability://data.processing.analysis.document.format.conversion.and.text.extraction","name":"document format conversion and text extraction","description":"Converts between document formats (DOCX, XLSX, PPTX, ODT, TXT, RTF) and extracts text content from structured documents. Uses document parsing libraries (likely LibreOffice UNO, Pandoc, or similar) to handle format transformations while preserving basic structure (paragraphs, tables, lists). No layout preservation, style retention, or advanced formatting — focuses on content accessibility and format compatibility.","intents":["I need to convert a Word document to plain text for processing","I want to convert an Excel spreadsheet to CSV for data analysis","I need to extract text from a PowerPoint presentation","I want to convert an ODT document to DOCX for Office compatibility"],"best_for":["data analysts extracting content from office documents","developers building document processing pipelines","teams standardizing document formats across systems"],"limitations":["Complex formatting (styles, fonts, colors, embedded objects) is not preserved during conversion","Tables may lose structure or alignment during format conversion","Embedded images, charts, and media are typically discarded","No support for macros, forms, or interactive elements","Text extraction from scanned documents requires OCR (not included)"],"requires":["Document file in supported format (DOCX, XLSX, PPTX, ODT, TXT, RTF)","File size under 50-100MB depending on complexity","Modern web browser or server with document parsing libraries"],"input_types":["document (DOCX, XLSX, PPTX, ODT, TXT, RTF, DOC, XLS, PPT)"],"output_types":["document (DOCX, XLSX, PPTX, ODT, TXT, CSV)","text (plain text extraction)"],"categories":["data-processing-analysis","document-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_tinywow__cap_6","uri":"capability://data.processing.analysis.archive.extraction.and.creation","name":"archive extraction and creation","description":"Creates and extracts compressed archive files (ZIP, RAR, 7Z, TAR, GZIP) with support for batch operations on multiple files. Uses standard compression libraries (likely libzip, 7-Zip SDK, or similar) to handle archive operations. Supports password-protected archives for basic security. No advanced compression algorithms or multi-volume archive support — focuses on standard compression formats and simple extraction workflows.","intents":["I need to extract files from a ZIP archive without installing WinRAR","I want to create a compressed ZIP file from 50 images for email sharing","I need to extract a TAR.GZ file from a Linux deployment","I want to password-protect a ZIP archive before sharing"],"best_for":["developers managing file distribution and deployment","teams sharing large file collections via email or cloud storage","users handling cross-platform archive formats"],"limitations":["No multi-volume archive support for splitting large files across media","Password protection is basic; no strong encryption beyond standard ZIP/7Z algorithms","Batch extraction applies to all files in archive; no selective file extraction","No archive repair or recovery tools for corrupted files","RAR extraction may be limited due to proprietary format restrictions"],"requires":["Archive file in supported format (ZIP, RAR, 7Z, TAR, GZIP, BZIP2)","File size under 500MB-2GB depending on browser memory","Modern web browser with Blob and FormData API support"],"input_types":["archive (ZIP, RAR, 7Z, TAR, GZIP, BZIP2, TAR.GZ, TAR.BZ2)"],"output_types":["archive (ZIP, 7Z, TAR, GZIP)","file (extracted individual files)"],"categories":["data-processing-analysis","file-compression"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_tinywow__cap_7","uri":"capability://data.processing.analysis.qr.code.generation.and.decoding","name":"qr code generation and decoding","description":"Generates QR codes from text, URLs, or contact information with customizable size and error correction levels. Decodes QR codes from uploaded images using image processing and pattern recognition. Uses standard QR code libraries (likely qrcode.js or similar) for generation and OpenCV or similar for decoding. No advanced features like custom logos, color customization, or dynamic QR codes — focuses on basic generation and reading.","intents":["I need to generate a QR code linking to my website for print marketing","I want to decode a QR code from a screenshot to see what URL it contains","I need to create QR codes for 100 product SKUs for inventory tracking"],"best_for":["marketers creating QR codes for campaigns","inventory managers tracking products","developers integrating QR functionality into applications"],"limitations":["No custom logo embedding or color customization beyond standard black/white","No dynamic QR codes that update without regenerating","Decoding requires clear, well-lit QR code images; damaged or low-resolution codes may fail","No analytics or tracking of QR code scans","Error correction limited to standard levels (L, M, Q, H)"],"requires":["Text, URL, or contact information for generation","Image file (PNG, JPG) containing QR code for decoding","Modern web browser with Canvas API support"],"input_types":["text (URL, plain text, contact vCard)","image (PNG, JPG, GIF containing QR code)"],"output_types":["image (PNG, JPG, SVG QR code)","text (decoded QR code content)"],"categories":["data-processing-analysis","image-visual"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_tinywow__cap_8","uri":"capability://image.visual.color.palette.extraction.and.conversion","name":"color palette extraction and conversion","description":"Extracts dominant colors from uploaded images and converts between color formats (HEX, RGB, HSL, CMYK). Uses image processing algorithms (likely k-means clustering or histogram analysis) to identify primary colors in images. Supports batch color format conversion for design workflows. No color theory analysis or accessibility checking — focuses on extraction and format compatibility.","intents":["I need to extract the dominant colors from a product photo for design inspiration","I want to convert a HEX color code to RGB for CSS styling","I need to convert colors to CMYK for print production"],"best_for":["designers extracting color schemes from reference images","developers converting between color formats for web/print","teams standardizing color specifications across projects"],"limitations":["Color extraction quality depends on image complexity; busy images may produce inaccurate palettes","No color theory analysis or accessibility checking (contrast ratios, colorblind simulation)","Extracted colors may not match designer intent for complex or artistic images","No support for spot colors or Pantone matching","CMYK conversion is approximate; actual print output may vary"],"requires":["Image file (PNG, JPG, GIF) for color extraction","Color format input (HEX, RGB, HSL, CMYK) for conversion","Modern web browser with Canvas API support"],"input_types":["image (PNG, JPG, GIF, WebP)","text (HEX, RGB, HSL, CMYK color codes)"],"output_types":["text (HEX, RGB, HSL, CMYK color codes)","image (color palette visualization)"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_tinywow__cap_9","uri":"capability://text.generation.language.text.case.conversion.and.formatting","name":"text case conversion and formatting","description":"Transforms text between case formats (uppercase, lowercase, title case, camelCase, snake_case, kebab-case) and applies basic text formatting operations including whitespace normalization, line break handling, and character counting. Uses simple string manipulation algorithms without NLP or semantic understanding. Supports batch processing of multiple text inputs with uniform formatting rules.","intents":["I need to convert a list of names to title case for a database","I want to convert variable names to camelCase for JavaScript code","I need to normalize whitespace in a text file before processing","I want to count characters and words in a document"],"best_for":["developers preparing text for code or data processing","content creators formatting text for consistency","teams standardizing text formatting across documents"],"limitations":["No language-aware processing; title case may fail for non-English text or special characters","No semantic understanding; cannot distinguish proper nouns or acronyms","Whitespace normalization is basic; no advanced text cleaning","No support for Unicode normalization or diacritical mark handling","Character counting is literal; no support for grapheme clusters or emoji handling"],"requires":["Text input in any format","Modern web browser with JavaScript string manipulation support"],"input_types":["text (plain text, code snippets, CSV data)"],"output_types":["text (formatted text in requested case)","structured data (character count, word count, line count)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"low","permissions":["Modern web browser with FormData and Blob API support (Chrome 13+, Firefox 4+, Safari 5+)","Internet connection with stable upload/download bandwidth","File size under platform limits (typically 100-500MB per file depending on format)","Modern web browser with Canvas API and Blob support","Images in standard formats (JPG, PNG, GIF, WebP, BMP)","File size under 100-200MB per batch depending on browser memory","URL or text string for encoding/decoding","Modern web browser with JavaScript support","Data file in supported format (JSON, XML, CSV, YAML)","File size under 50-100MB depending on browser memory"],"failure_modes":["No advanced codec options (bitrate, quality presets, frame rate) — uses sensible defaults only","Batch processing limited to browser memory constraints; files >500MB may timeout or fail silently","No progress tracking or resumable uploads for interrupted conversions","Output quality is baseline/standard — no lossless or high-fidelity options for professional workflows","No content-aware compression — cannot intelligently preserve important image regions","Quality degradation is visible at high compression ratios; no preview before download","Batch compression applies identical settings to all files regardless of content type or original size","No support for advanced formats like HEIC or AVIF on older browsers","No URL validation or structure parsing","No URL shortening or custom domain support","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":"2026-05-24T12:16:33.648Z","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=tinywow","compare_url":"https://unfragile.ai/compare?artifact=tinywow"}},"signature":"VM391d0eoVBbt3mFOFOsIWkFyGEl0rZ/Hu2xR/TZSuqSvu+2UDcvFoDqH1jncPZ5IqLC2649Y7t3yhd2czD5CA==","signedAt":"2026-06-22T11:34:21.300Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/tinywow","artifact":"https://unfragile.ai/tinywow","verify":"https://unfragile.ai/api/v1/verify?slug=tinywow","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"}}