{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_summary-box","slug":"summary-box","name":"Summary Box","type":"product","url":"https://summarybox.com","page_url":"https://unfragile.ai/summary-box","categories":["text-writing"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_summary-box__cap_0","uri":"capability://text.generation.language.abstractive.summarization.from.plain.text","name":"abstractive-summarization-from-plain-text","description":"Accepts raw text input and generates abstractive summaries using neural language models that paraphrase and compress content rather than extracting sentences verbatim. The system likely uses encoder-decoder transformer architectures (similar to BART or T5) to understand semantic meaning and regenerate condensed versions, enabling more coherent and readable summaries than extractive methods that simply select and concatenate existing sentences.","intents":["I need to quickly understand the key points of a long article without reading the full text","I want to generate a summary that reads naturally, not just a collection of extracted sentences","I need to process multiple text documents and get consistent summary quality across all of them"],"best_for":["researchers processing literature reviews","content curators filtering high-volume feeds","professionals with limited time for deep reading"],"limitations":["abstractive models may hallucinate or introduce subtle factual errors not present in source material","no documented control over summary length or compression ratio","no visible source attribution or citation mapping to original text passages","quality degrades significantly for highly technical or domain-specific content without fine-tuning"],"requires":["plain text input (copy-paste or direct entry)","active internet connection for cloud-based model inference","paid subscription (no free tier mentioned)"],"input_types":["plain text","pasted article content"],"output_types":["plain text summary","compressed narrative"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_summary-box__cap_1","uri":"capability://text.generation.language.youtube.video.transcript.summarization","name":"youtube-video-transcript-summarization","description":"Integrates with YouTube's API or transcript extraction services to retrieve video transcripts, then applies abstractive summarization to generate condensed summaries of video content. The system handles the multi-step pipeline of video identification (via URL), transcript fetching (handling captions, auto-generated transcripts, or speech-to-text fallback), and subsequent summarization without requiring manual transcript copy-paste, reducing friction for video-heavy workflows.","intents":["I want to understand what a YouTube video covers without watching the full length","I need to summarize multiple educational or tutorial videos for research or documentation","I want to extract key takeaways from long-form video content like podcasts or lectures"],"best_for":["students reviewing lecture recordings","researchers analyzing video-based content","content curators building video libraries with searchable summaries"],"limitations":["depends on YouTube transcript availability — fails silently or degrades for videos without captions or auto-generated transcripts","cannot process video-only content (visual demonstrations, charts, graphics) — only summarizes audio/caption track","YouTube API rate limits and authentication may introduce latency or availability issues","no control over transcript language selection if multiple languages available"],"requires":["valid YouTube video URL","video must have captions or auto-generated transcripts enabled","active internet connection","paid subscription"],"input_types":["YouTube URL"],"output_types":["plain text summary","compressed narrative of video content"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_summary-box__cap_2","uri":"capability://text.generation.language.pdf.document.summarization","name":"pdf-document-summarization","description":"Accepts PDF file uploads and extracts text content using PDF parsing libraries (likely PyPDF2, pdfplumber, or similar), then applies abstractive summarization to the extracted text. The system handles multi-page PDFs by either summarizing the full document or chunking it into sections, managing the complexity of variable PDF layouts, embedded images, and formatting while preserving semantic coherence across page boundaries.","intents":["I need to quickly understand the main points of a long PDF report or research paper","I want to summarize multiple PDF documents in batch without manually copying text","I need to extract key findings from PDFs while preserving document structure understanding"],"best_for":["researchers processing academic papers","business professionals reviewing reports and whitepapers","legal or compliance teams screening documents"],"limitations":["PDF text extraction quality varies with PDF encoding — scanned PDFs or image-based PDFs require OCR (not mentioned as supported)","no documented handling of multi-column layouts, tables, or structured data within PDFs","file size limits not specified — may fail on very large PDFs (100+ pages)","no preservation of document structure (sections, headings) in output summary"],"requires":["PDF file upload capability","file size within service limits (unknown threshold)","PDF must be text-based (not scanned/image-based) for reliable extraction","paid subscription"],"input_types":["PDF file"],"output_types":["plain text summary","compressed narrative of PDF content"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_summary-box__cap_3","uri":"capability://text.generation.language.google.docs.native.integration.summarization","name":"google-docs-native-integration-summarization","description":"Integrates with Google Docs API to authenticate user accounts, retrieve document content directly from Google Drive, and apply abstractive summarization without requiring manual export or copy-paste. The system maintains the connection to the source document, potentially enabling features like in-document summary insertion or linking, while handling Google's OAuth authentication flow and document access permissions.","intents":["I want to summarize a Google Doc I'm collaborating on without leaving the platform","I need to generate summaries of multiple shared Google Docs from my Drive","I want to insert a summary back into the original document or a linked summary document"],"best_for":["teams using Google Workspace for collaborative document creation","project managers summarizing meeting notes or project briefs","educators summarizing student submissions or course materials"],"limitations":["requires Google account authentication and explicit permission grant via OAuth","only works with documents accessible via authenticated user's Google Drive","no documented support for shared drives or team drives with complex permission models","summary insertion back into Google Docs not mentioned — likely read-only integration"],"requires":["active Google account","OAuth permission grant for Google Docs API access","document must be accessible in user's Google Drive","paid subscription"],"input_types":["Google Docs document (via API)"],"output_types":["plain text summary","potentially insertable summary in Google Docs format"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_summary-box__cap_4","uri":"capability://automation.workflow.multi.format.batch.processing.workflow","name":"multi-format-batch-processing-workflow","description":"Provides a unified interface that accepts multiple input formats (text, YouTube URLs, PDFs, Google Docs) in a single session or batch operation, routing each input to the appropriate parser/extractor before applying consistent abstractive summarization logic. The system abstracts format-specific handling behind a common API, enabling users to process heterogeneous content types without switching tools or learning format-specific workflows.","intents":["I need to summarize a mix of articles, videos, and PDFs in one workflow without switching tools","I want to process 10+ documents of different types and get consistent summary quality across all","I need to build a research workflow that handles diverse source materials seamlessly"],"best_for":["researchers conducting literature reviews with mixed source types","content curators aggregating information from multiple channels","teams building knowledge bases from heterogeneous sources"],"limitations":["no documented batch upload or scheduling — likely requires manual input per document","no export or integration with external tools (no API for programmatic access mentioned)","summary quality consistency across formats not validated — different models may be used per format","no documented deduplication or cross-document linking for related summaries"],"requires":["web browser access to Summary Box interface","valid inputs for each format (text, URLs, files, Google account)","paid subscription"],"input_types":["plain text","YouTube URL","PDF file","Google Docs document"],"output_types":["plain text summaries","multiple summaries in sequence"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_summary-box__cap_5","uri":"capability://text.generation.language.configurable.summary.length.control","name":"configurable-summary-length-control","description":"Allows users to specify desired summary length or compression ratio (e.g., 25%, 50%, 75% of original length) before generating summaries, with the abstractive model adjusting output length constraints during decoding. This likely uses length-penalty parameters in the transformer decoder or explicit token-count targets to control verbosity while maintaining semantic coherence, enabling users to trade off detail for brevity based on use case.","intents":["I need a one-sentence summary for a quick overview","I want a medium-length summary with key details for a report","I need a detailed summary that preserves nuance for research purposes"],"best_for":["users with varying time constraints and detail requirements","researchers needing summaries at multiple abstraction levels","teams standardizing summary length across documents"],"limitations":["no documented UI for length customization — may not be exposed in interface","very short summaries (one-sentence) may lose critical context or hallucinate","no guarantee of exact length — abstractive models produce variable output lengths","no preview before generation — users cannot adjust if result is too short/long"],"requires":["length parameter input (percentage or word count)","paid subscription"],"input_types":["length preference (percentage or target word count)"],"output_types":["plain text summary at specified length"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["plain text input (copy-paste or direct entry)","active internet connection for cloud-based model inference","paid subscription (no free tier mentioned)","valid YouTube video URL","video must have captions or auto-generated transcripts enabled","active internet connection","paid subscription","PDF file upload capability","file size within service limits (unknown threshold)","PDF must be text-based (not scanned/image-based) for reliable extraction"],"failure_modes":["abstractive models may hallucinate or introduce subtle factual errors not present in source material","no documented control over summary length or compression ratio","no visible source attribution or citation mapping to original text passages","quality degrades significantly for highly technical or domain-specific content without fine-tuning","depends on YouTube transcript availability — fails silently or degrades for videos without captions or auto-generated transcripts","cannot process video-only content (visual demonstrations, charts, graphics) — only summarizes audio/caption track","YouTube API rate limits and authentication may introduce latency or availability issues","no control over transcript language selection if multiple languages available","PDF text extraction quality varies with PDF encoding — scanned PDFs or image-based PDFs require OCR (not mentioned as supported)","no documented handling of multi-column layouts, tables, or structured data within PDFs","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=summary-box","compare_url":"https://unfragile.ai/compare?artifact=summary-box"}},"signature":"bZDAQGMMXF+kg54RjU/E4xQ3ioy7U2+8Eh0B6OoAr/VQYcsCHpZ2uIJDQt10ioSuvuYOPQ807tGByWUAjp90AA==","signedAt":"2026-06-21T00:13:45.896Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/summary-box","artifact":"https://unfragile.ai/summary-box","verify":"https://unfragile.ai/api/v1/verify?slug=summary-box","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"}}