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The viewer maintains document state and coordinates with parent LLM application contexts through React props and callbacks.","intents":["Display PDF documents in a React app while maintaining LLM chat context in the same UI","Build document-aware chatbots that reference specific PDF pages during conversation","Create LLM applications where users can upload and view PDFs alongside AI responses"],"best_for":["React developers building LLM-powered document analysis applications","Teams creating RAG (Retrieval-Augmented Generation) interfaces with visual document reference","Developers integrating LlamaIndex document loaders with interactive PDF viewing"],"limitations":["React-only implementation — no Vue, Angular, or vanilla JavaScript support","Requires parent application to manage PDF file handling and LlamaIndex document indexing separately","No built-in OCR or text extraction — relies on PDF's embedded text layer"],"requires":["React 16.8+ (hooks support)","Node.js 14+","@llamaindex/core or compatible LlamaIndex version","PDF file with embedded text (not scanned images)"],"input_types":["PDF files (File objects or Blob)","PDF URLs (with CORS support)","LlamaIndex Document objects"],"output_types":["Rendered PDF in DOM","Page navigation state","Text selection events"],"categories":["image-visual","react-components"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-llamaindex-pdf-viewer__cap_1","uri":"capability://image.visual.page.level.navigation.and.viewport.management","name":"page-level navigation and viewport management","description":"Provides programmatic control over PDF page navigation through React component props and internal state management. Implements viewport scaling, zoom controls, and page-by-page traversal with event callbacks. Uses canvas or SVG rendering (depending on underlying PDF engine) to maintain responsive performance across document sizes.","intents":["Navigate between PDF pages programmatically from LLM chat commands","Allow users to jump to specific pages when LLM references them","Implement zoom and fit-to-width controls for accessibility"],"best_for":["Developers building voice-controlled or command-based document navigation","Applications where LLM outputs trigger specific page jumps","Accessibility-focused document interfaces"],"limitations":["Navigation state is local to component — requires parent app to persist page position if needed","Zoom performance may degrade on very large PDFs (1000+ pages) without virtualization","No built-in bookmarking or page annotation persistence"],"requires":["React component mounted in application","PDF file successfully loaded into viewer","Browser support for Canvas API (IE11+ or modern browsers)"],"input_types":["Page number (integer)","Zoom level (percentage or fit-to-width enum)","Scroll position (pixel coordinates)"],"output_types":["Current page number","Viewport dimensions","Navigation event callbacks"],"categories":["image-visual","ui-components"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-llamaindex-pdf-viewer__cap_2","uri":"capability://image.visual.text.selection.and.extraction.with.coordinate.mapping","name":"text selection and extraction with coordinate mapping","description":"Captures user text selections within the PDF viewer and maps them to document coordinates and page positions. Exposes selection events through React callbacks, allowing parent applications to send selected text to LLM systems for analysis or context injection. Maintains mapping between visual coordinates and PDF document space for accurate reference.","intents":["Let users highlight PDF text and send it to an LLM for summarization or Q&A","Extract specific passages from PDFs to use as RAG context","Build annotation workflows where selections trigger LLM processing"],"best_for":["Document analysis applications where users select text for LLM processing","RAG systems that need precise document citations with page/coordinate references","Interactive document exploration tools with LLM-powered insights"],"limitations":["Selection events only work on PDFs with embedded text — scanned documents require OCR preprocessing","Coordinate mapping accuracy depends on PDF rendering engine — may have pixel-level variance","No built-in highlighting persistence — selections are ephemeral unless parent app stores them"],"requires":["PDF with embedded searchable text","React event handler setup in parent component","Browser TextSelection API support"],"input_types":["User mouse/touch selection events","PDF page context"],"output_types":["Selected text string","Page number","Bounding box coordinates","Character offsets"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-llamaindex-pdf-viewer__cap_3","uri":"capability://memory.knowledge.llamaindex.document.integration.and.metadata.binding","name":"llamaindex document integration and metadata binding","description":"Accepts LlamaIndex Document objects or document metadata and binds them to the PDF viewer for coordinated display. Enables the viewer to display document properties (title, source, creation date) and maintain references to LlamaIndex's document node structure. Allows parent applications to pass document context from LlamaIndex loaders directly to the viewer component.","intents":["Display metadata about a PDF document that was loaded via LlamaIndex","Maintain bidirectional reference between viewer and LlamaIndex document index","Pass document context from LlamaIndex RAG pipeline to the UI layer"],"best_for":["LlamaIndex-based applications that need to display indexed documents visually","RAG systems where documents are indexed in LlamaIndex and viewed in React UI","Teams using LlamaIndex for backend document processing and this viewer for frontend"],"limitations":["Requires LlamaIndex Document object structure — not compatible with arbitrary document formats","Metadata binding is one-way (LlamaIndex → viewer) — viewer updates don't sync back to index","No automatic re-indexing if document is modified in viewer"],"requires":["@llamaindex/core package installed","Document loaded through LlamaIndex loader (PDFReader, SimpleDirectoryReader, etc.)","Document object passed as prop to viewer component"],"input_types":["LlamaIndex Document object","Document metadata (title, source, creation_date, etc.)"],"output_types":["Rendered document with metadata display","Document reference for LLM context injection"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-llamaindex-pdf-viewer__cap_4","uri":"capability://image.visual.responsive.canvas.based.rendering.with.performance.optimization","name":"responsive canvas-based rendering with performance optimization","description":"Renders PDFs using canvas or optimized SVG rendering with responsive scaling for different screen sizes and device pixel ratios. Implements lazy loading for off-screen pages and viewport-based rendering to maintain performance on mobile and desktop. Uses requestAnimationFrame for smooth scrolling and resize handling.","intents":["Display PDFs smoothly on mobile devices and tablets without lag","Handle large PDFs (100+ pages) without memory bloat","Maintain 60fps scrolling and navigation performance"],"best_for":["Mobile-first LLM applications that need document viewing","Applications with large document libraries requiring efficient rendering","Teams prioritizing performance and accessibility"],"limitations":["Canvas rendering may have lower text fidelity than native PDF viewers on some browsers","Lazy loading adds complexity to coordinate mapping for selections","Device pixel ratio handling can cause memory overhead on high-DPI displays"],"requires":["Browser with Canvas API support","Sufficient device memory for page cache (typically 50-100MB for 100-page PDFs)","Modern browser (Chrome 60+, Firefox 55+, Safari 12+)"],"input_types":["PDF file","Viewport dimensions","Device pixel ratio"],"output_types":["Rendered canvas/SVG","Performance metrics (render time, memory usage)"],"categories":["image-visual","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-llamaindex-pdf-viewer__cap_5","uri":"capability://tool.use.integration.event.callback.system.for.llm.agent.integration","name":"event callback system for llm agent integration","description":"Exposes a callback-based event system (onPageChange, onTextSelect, onDocumentLoad, etc.) that allows parent React components to hook into viewer state changes and trigger LLM operations. Events are passed as React props and can be connected to LLM chains, agents, or RAG queries. Enables declarative integration with LLM orchestration frameworks.","intents":["Trigger LLM analysis when user navigates to a new PDF page","Send selected text to an LLM for instant Q&A or summarization","Log document interactions for LLM context or analytics"],"best_for":["Developers building interactive LLM agents that respond to document navigation","Teams using React hooks and functional components for LLM orchestration","Applications where document viewing triggers LLM processing pipelines"],"limitations":["Callback-based architecture requires parent component to manage LLM state — no built-in orchestration","Event throttling/debouncing must be implemented in parent app to avoid LLM API spam","No built-in error handling for failed LLM calls triggered by viewer events"],"requires":["React functional component with hooks support","Parent component managing LLM state (via useState, useReducer, or state management library)","LLM client library (OpenAI, Anthropic, LlamaIndex, etc.)"],"input_types":["Viewer state changes (page, selection, zoom)","User interactions (click, scroll, selection)"],"output_types":["Event callbacks with payload data","Trigger signals for parent LLM orchestration"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-llamaindex-pdf-viewer__cap_6","uri":"capability://image.visual.keyboard.and.accessibility.controls.with.screen.reader.support","name":"keyboard and accessibility controls with screen reader support","description":"Implements keyboard navigation (arrow keys for page navigation, Ctrl+F for search) and ARIA labels for screen reader compatibility. Provides semantic HTML structure and focus management for keyboard-only users. Supports high contrast modes and text scaling for accessibility compliance (WCAG 2.1 AA target).","intents":["Make PDF viewing accessible to users with visual impairments","Enable keyboard-only navigation for power users and accessibility requirements","Comply with accessibility standards for enterprise applications"],"best_for":["Enterprise applications with accessibility compliance requirements","Public-facing LLM applications serving diverse user populations","Teams committed to inclusive design"],"limitations":["Screen reader support depends on PDF having proper text layer — scanned PDFs require OCR","Complex PDF layouts (multi-column, overlapping text) may confuse screen readers","Keyboard shortcuts may conflict with browser defaults or assistive technology shortcuts"],"requires":["Modern browser with ARIA support (all modern browsers)","Screen reader software for testing (NVDA, JAWS, VoiceOver)","PDF with embedded text and logical reading order"],"input_types":["Keyboard events","Focus management signals"],"output_types":["ARIA announcements","Keyboard navigation state","Accessible DOM structure"],"categories":["image-visual","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-llamaindex-pdf-viewer__cap_7","uri":"capability://memory.knowledge.annotation.and.highlighting.persistence.layer","name":"annotation and highlighting persistence layer","description":"Provides a data structure and callback system for storing user annotations (highlights, notes, bookmarks) with page and coordinate references. Annotations are stored in a JSON-serializable format that can be persisted to a database or local storage. Enables loading previously saved annotations and syncing them with the PDF display.","intents":["Let users highlight important passages and save them for later reference","Build document review workflows where multiple users annotate the same PDF","Export annotations for use in LLM prompts or document summaries"],"best_for":["Collaborative document review applications","Research and analysis tools where users need to mark up documents","Applications that need to export annotations for LLM processing"],"limitations":["Annotation storage is not built-in — requires external persistence (database, localStorage, etc.)","Coordinate-based annotations may become invalid if PDF is re-rendered at different resolution","No conflict resolution for concurrent annotations from multiple users","Annotations are stored separately from PDF — no embedded PDF annotation format support"],"requires":["Parent component managing annotation state","Persistence layer (database, localStorage, or file storage)","Serialization/deserialization logic for annotation objects"],"input_types":["Highlight coordinates and text","Note content (text)","Bookmark page numbers","Annotation metadata (author, timestamp, color)"],"output_types":["Annotation JSON objects","Rendered highlights on PDF","Annotation list/sidebar"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":32,"verified":false,"data_access_risk":"high","permissions":["React 16.8+ (hooks support)","Node.js 14+","@llamaindex/core or compatible LlamaIndex version","PDF file with embedded text (not scanned images)","React component mounted in application","PDF file successfully loaded into viewer","Browser support for Canvas API (IE11+ or modern browsers)","PDF with embedded searchable text","React event handler setup in parent component","Browser TextSelection API support"],"failure_modes":["React-only implementation — no Vue, Angular, or vanilla JavaScript support","Requires parent application to manage PDF file handling and LlamaIndex document indexing separately","No built-in OCR or text extraction — relies on PDF's embedded text layer","Navigation state is local to component — requires parent app to persist page position if needed","Zoom performance may degrade on very large PDFs (1000+ pages) without virtualization","No built-in bookmarking or page annotation persistence","Selection events only work on PDFs with embedded text — scanned documents require OCR preprocessing","Coordinate mapping accuracy depends on PDF rendering engine — may have pixel-level variance","No built-in highlighting persistence — selections are ephemeral unless parent app stores them","Requires LlamaIndex Document object structure — not compatible with arbitrary document formats","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.19426032488421566,"quality":0.26,"ecosystem":0.3,"match_graph":0.25,"freshness":0.9,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.902Z","last_scraped_at":"2026-05-03T14:04:47.474Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":4381,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=llamaindex-pdf-viewer","compare_url":"https://unfragile.ai/compare?artifact=llamaindex-pdf-viewer"}},"signature":"O0iegSeCW2gDZKg22KzxIjsCOqAEcQLkTUVNh9xv4Fh+9nOWit6CZ7adfREvmwD7mLUjjpZDJ2QK5MaYdoCuBA==","signedAt":"2026-06-16T01:08:39.778Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/llamaindex-pdf-viewer","artifact":"https://unfragile.ai/llamaindex-pdf-viewer","verify":"https://unfragile.ai/api/v1/verify?slug=llamaindex-pdf-viewer","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"}}