{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"readwise-reader","slug":"readwise-reader","name":"Readwise Reader","type":"extension","url":"https://readwise.io/read","page_url":"https://unfragile.ai/readwise-reader","categories":["browser-extensions"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"readwise-reader__cap_0","uri":"capability://data.processing.analysis.multi.source.content.aggregation.and.unified.ingestion","name":"multi-source content aggregation and unified ingestion","description":"Consolidates articles, newsletters, PDFs, tweets, YouTube transcripts, and EPUB ebooks into a single centralized database through browser extension highlighting, direct uploads, and upstream integrations (RSS, email forwarding, social media). Content is normalized into a common schema with metadata (source, timestamp, tags, notes) and indexed server-side for subsequent AI processing and retrieval.","intents":["I want to save articles, tweets, and newsletters to one place instead of managing multiple read-it-later tools","I need to highlight content across different formats (web pages, PDFs, ebooks) and have all highlights accessible in one interface","I want to automatically capture and organize YouTube transcripts and Twitter threads alongside articles"],"best_for":["knowledge workers consuming content across 5+ sources daily","researchers aggregating multi-format sources (papers, articles, videos, tweets)","newsletter subscribers overwhelmed by inbox clutter"],"limitations":["PDF highlighting requires upload to Readwise servers — no local in-browser processing","Paywall-protected content cannot be ingested unless explicitly shared or forwarded","Real-time collaborative documents (Google Docs, Notion) not supported as native sources","Browser extension limited to pages where extension is active — no background content capture"],"requires":["Readwise account (free or paid tier)","Browser with extension support (Chrome, Firefox, Safari, Edge — specific versions unknown)","Internet connection for server-side indexing and processing"],"input_types":["web pages (via extension or URL submission)","PDF files (upload)","EPUB ebooks (upload)","YouTube video URLs (transcript extraction)","Twitter thread URLs","RSS feeds","Email newsletters (via forwarding)"],"output_types":["normalized document records with metadata","indexed full-text search corpus","highlight collections with source attribution"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"readwise-reader__cap_1","uri":"capability://text.generation.language.gpt.4.powered.document.question.answering","name":"gpt-4 powered document question-answering","description":"Enables users to ask natural language questions about saved documents and highlights using GPT-4 as the underlying model. The system retrieves relevant document context, constructs a prompt with the user's question and document text, and returns GPT-4's response. Implementation details (prompt engineering, context window management, token limits) are not publicly documented.","intents":["I want to ask questions about a saved article or PDF without re-reading the entire document","I need to extract specific information from a long newsletter or research paper using natural language","I want to get clarification on a concept mentioned in a saved document"],"best_for":["researchers processing large document collections","students reviewing saved course materials and articles","professionals extracting insights from newsletters and reports"],"limitations":["GPT-4 model is fixed — no option to use alternative models (Claude, Llama, etc.)","Context window constraints unknown — unclear how system handles documents exceeding GPT-4's token limit","No custom prompt engineering exposed to users — system uses proprietary prompt templates","Q&A feature availability by pricing tier unknown — may be restricted to paid plans","Latency not specified — response time depends on document size and GPT-4 API availability"],"requires":["Readwise account (tier level unknown)","Saved document or highlight in Readwise Reader","Internet connection for GPT-4 API calls","Readwise API key management (internal — not user-configurable)"],"input_types":["natural language question (text)","document or highlight reference (internal ID)"],"output_types":["natural language response (text)","source attribution (document/highlight reference)"],"categories":["text-generation-language","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"readwise-reader__cap_10","uri":"capability://data.processing.analysis.youtube.transcript.extraction.and.highlighting","name":"youtube transcript extraction and highlighting","description":"Automatically extracts transcripts from YouTube videos when users save video URLs to Readwise, making transcripts available for highlighting, searching, and AI processing. Extraction uses YouTube's native transcript API (if available) or third-party transcript services. Extracted transcripts are indexed and associated with video metadata (title, channel, duration, upload date).","intents":["I want to highlight important quotes from YouTube videos and save them to my Readwise library","I need to search across transcripts from multiple videos to find specific information","I want to ask questions about video content using GPT-4 without rewatching"],"best_for":["students capturing insights from educational YouTube videos","researchers reviewing video lectures and presentations","professionals learning from conference talks and tutorials"],"limitations":["Transcript availability depends on YouTube video — not all videos have transcripts","Transcript accuracy varies by video — auto-generated transcripts may have errors","Transcript extraction method not documented — unclear if using YouTube API or third-party service","Transcript language support unknown — may be limited to English or popular languages","Transcript sync latency not specified — unclear how quickly transcripts become available after video upload"],"requires":["Readwise account","YouTube video URL with available transcript","Internet connection for transcript extraction"],"input_types":["YouTube video URL"],"output_types":["extracted transcript (full text, indexed)","video metadata (title, channel, duration)","highlights on transcript text"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"readwise-reader__cap_11","uri":"capability://data.processing.analysis.twitter.thread.curation.and.archival","name":"twitter thread curation and archival","description":"Enables users to save Twitter threads and individual tweets to Readwise, extracting thread content (tweets, replies, author metadata) and making them available for highlighting and searching. Threads are preserved as complete units with conversation context, protecting against tweet deletion or account suspension.","intents":["I want to save Twitter threads to read later without losing them if the author deletes them","I need to highlight important insights from Twitter threads and organize them with other content","I want to search across saved tweets and threads to find specific information or references"],"best_for":["professionals following industry experts on Twitter","researchers archiving social media discussions and insights","knowledge workers capturing quick insights from Twitter"],"limitations":["Thread extraction method not documented — unclear if using Twitter API or web scraping","Extraction latency not specified — unclear how quickly threads become available","Deleted tweets or suspended accounts may result in incomplete threads","Thread context (replies, quote tweets) preservation unknown — unclear if full conversation is captured","Twitter API rate limits may affect extraction speed"],"requires":["Readwise account","Twitter thread or tweet URL","Internet connection for extraction"],"input_types":["Twitter thread or tweet URL"],"output_types":["extracted thread content (tweets, author metadata, timestamps)","archived thread record (protected from deletion)"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"readwise-reader__cap_12","uri":"capability://data.processing.analysis.rss.feed.subscription.and.newsletter.aggregation","name":"rss feed subscription and newsletter aggregation","description":"Supports RSS feed subscriptions and email newsletter forwarding, automatically ingesting new articles and emails into the Readwise library. Feed items are normalized with metadata (publication date, author, feed source) and made available for highlighting, searching, and AI processing. Newsletter forwarding uses a unique email address per user.","intents":["I want to consolidate RSS feeds and newsletters into one reading interface instead of checking multiple sources","I need to highlight and organize newsletter content alongside articles and other sources","I want to search across all my newsletters to find specific information or references"],"best_for":["newsletter subscribers managing 5+ subscriptions","RSS feed readers consolidating multiple feeds","professionals aggregating industry news and updates"],"limitations":["RSS feed update frequency not documented — unclear if real-time or batch processing","Newsletter forwarding setup not documented — unclear if automatic or manual configuration","Feed parsing robustness unknown — may fail on non-standard RSS formats","Newsletter HTML formatting preservation unknown — unclear if HTML is converted to plain text","Feed subscription limits not documented — unclear if there are limits on number of feeds"],"requires":["Readwise account","RSS feed URL or newsletter email address","Internet connection for feed polling"],"input_types":["RSS feed URL","email newsletter (forwarded to Readwise email address)"],"output_types":["normalized feed item record with metadata","indexed content for search and highlighting"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"readwise-reader__cap_2","uri":"capability://text.generation.language.ai.powered.document.summarization","name":"ai-powered document summarization","description":"Automatically generates summaries of saved articles, newsletters, and documents using an unspecified AI model (not documented as GPT-4). Summaries are computed server-side and presented alongside the original content. Implementation approach (extractive vs. abstractive, model architecture, summary length configuration) is not publicly disclosed.","intents":["I want a quick summary of a long article before deciding whether to read the full text","I need to quickly understand the key points of a newsletter without reading every section","I want to generate summaries of multiple documents to compare their main ideas"],"best_for":["busy professionals scanning 10+ articles daily","newsletter subscribers wanting executive summaries","researchers doing literature reviews with many sources"],"limitations":["Summarization model identity unknown — cannot assess quality or bias","Summary length and style not configurable — fixed output format","No option to regenerate or adjust summary parameters","Quality varies by content type — technical papers may be less effective than news articles","Availability by pricing tier unknown — may be premium-only feature"],"requires":["Readwise account (tier level unknown)","Saved document in Readwise Reader","Internet connection for server-side processing"],"input_types":["full document text (articles, newsletters, PDFs, ebooks)"],"output_types":["text summary (length and style unknown)","summary metadata (generation timestamp)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"readwise-reader__cap_3","uri":"capability://planning.reasoning.spaced.repetition.highlight.resurfacing.with.algorithmic.scheduling","name":"spaced repetition highlight resurfacing with algorithmic scheduling","description":"Implements a proprietary spaced repetition algorithm (branded as 'Daily Review') that selects highlights from the user's collection and resurfaces them at optimal intervals based on cognitive science principles. The system tracks highlight review history, calculates optimal review timing, and delivers a curated daily digest via email or in-app interface. Algorithm details (interval calculation, decay function, weighting factors) are not publicly documented.","intents":["I want to review my highlights regularly without manually selecting which ones to study","I need to retain key insights from articles and books using spaced repetition science","I want a daily digest of highlights tailored to my learning schedule"],"best_for":["students using highlights for exam preparation","lifelong learners building long-term knowledge retention","professionals reviewing key insights from industry content"],"limitations":["Algorithm parameters not user-configurable — cannot adjust review frequency or interval spacing","No option to prioritize certain highlights or tags for more frequent review","Daily Review delivery timing fixed — cannot customize delivery schedule (e.g., weekly instead of daily)","Algorithm behavior opaque — users cannot understand why specific highlights were selected","Effectiveness depends on highlight quality — poor highlights will be resurface equally"],"requires":["Readwise account with Daily Review enabled","At least one highlight saved in Readwise","Email address configured (for email delivery) or in-app access"],"input_types":["highlight collection (internal database)","review history (implicit tracking)"],"output_types":["daily digest (3-5 highlights, format unknown)","email or in-app notification","review metadata (timestamp, user interaction)"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"readwise-reader__cap_4","uri":"capability://search.retrieval.full.text.search.across.multi.source.highlight.library","name":"full-text search across multi-source highlight library","description":"Enables keyword and semantic search across all saved highlights and documents in the user's Readwise library. Search indexes full-text content from articles, PDFs, newsletters, and other sources, returning results with source attribution and highlight context. Implementation approach (inverted index, vector embeddings, hybrid search) is not documented.","intents":["I want to find a specific highlight or quote I saved weeks ago without scrolling through my entire library","I need to search across all my sources for content related to a specific topic or keyword","I want to discover connections between highlights from different sources using semantic search"],"best_for":["researchers with large highlight collections (100+ documents)","knowledge workers needing quick reference to past insights","students reviewing saved course materials and notes"],"limitations":["Search algorithm type unknown — unclear if semantic or keyword-only","Advanced search operators not documented — cannot filter by source, date, or tag programmatically","Search latency not specified — performance on large libraries unknown","Indexing lag unknown — unclear how quickly new highlights become searchable","Search availability by pricing tier unknown — may be restricted to paid plans"],"requires":["Readwise account with saved highlights","Internet connection for server-side search","Minimum library size unknown — search effectiveness may degrade on very small collections"],"input_types":["search query (text, keyword or natural language)"],"output_types":["search results (list of highlights with source, context, relevance score unknown)","result metadata (source document, highlight date, tags)"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"readwise-reader__cap_5","uri":"capability://tool.use.integration.browser.extension.in.context.highlighting.and.annotation","name":"browser extension in-context highlighting and annotation","description":"Provides a browser extension that enables users to highlight text on web pages and attach notes directly within the reading context. Highlighted content is captured with metadata (URL, timestamp, selection context) and synced to the centralized Readwise database. Extension integrates with the browser's native text selection and context menu APIs.","intents":["I want to highlight important passages on web articles and have them automatically saved to my Readwise library","I need to add quick notes to highlights while reading without switching to another app","I want to tag highlights as I read for later organization and retrieval"],"best_for":["web readers who highlight frequently while browsing","researchers collecting quotes and insights from online sources","students annotating web-based course materials"],"limitations":["Extension limited to pages where it is active — cannot capture highlights from pages where extension is disabled","Highlighting on authenticated/paywall content may fail or be incomplete","Extension compatibility with specific browser versions unknown","Performance impact on page load time not documented","Keyboard shortcuts and trigger mechanisms not publicly specified"],"requires":["Browser with extension support (Chrome, Firefox, Safari, Edge — specific versions unknown)","Readwise account","Extension installed and enabled"],"input_types":["text selection on web page (via mouse or keyboard)","optional note text (user-provided)"],"output_types":["highlight record with source URL, selected text, timestamp, and note","synced to Readwise database"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"readwise-reader__cap_6","uri":"capability://data.processing.analysis.pdf.and.epub.document.upload.with.full.text.extraction","name":"pdf and epub document upload with full-text extraction","description":"Accepts PDF and EPUB file uploads, extracts full text content server-side, and makes documents available for highlighting, searching, and AI processing (summarization, Q&A). Extraction handles multi-page documents, embedded images, and complex layouts. Extracted text is indexed and associated with document metadata (filename, upload date, file size).","intents":["I want to upload research papers and ebooks to Readwise and highlight them alongside web articles","I need to extract and search text from PDF documents I've saved locally","I want to ask questions about PDF content using GPT-4 without manually copying text"],"best_for":["researchers managing large PDF collections (papers, reports, theses)","students uploading course materials and textbooks","professionals organizing ebooks and technical documentation"],"limitations":["PDF extraction quality depends on document structure — scanned PDFs (image-based) may have poor OCR","File size limits not documented — unclear if there are upload size restrictions","Processing latency not specified — large documents may take time to index","EPUB support limited to standard format — DRM-protected ebooks cannot be uploaded","Extracted text accuracy not guaranteed — complex layouts or non-Latin scripts may have errors"],"requires":["Readwise account","PDF or EPUB file (format and size limits unknown)","Internet connection for server-side processing"],"input_types":["PDF file (binary)","EPUB file (binary)"],"output_types":["extracted full-text content (indexed)","document record with metadata","highlights and annotations on extracted text"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"readwise-reader__cap_7","uri":"capability://tool.use.integration.highlight.export.to.external.knowledge.management.systems","name":"highlight export to external knowledge management systems","description":"Enables bulk export of highlights and notes to external platforms (Notion, Obsidian, Evernote) via API integrations or formatted exports. Export includes highlight text, source attribution, tags, notes, and metadata. Integration maintains bidirectional sync or one-time export depending on platform.","intents":["I want to export my Readwise highlights to Notion to build a personal knowledge base","I need to sync highlights to Obsidian for long-form note-taking and knowledge graph building","I want to archive highlights to Evernote as a backup and reference system"],"best_for":["knowledge workers building personal knowledge management systems","researchers organizing highlights into structured note systems","teams collaborating on shared knowledge bases"],"limitations":["Export format and frequency not documented — unclear if real-time sync or batch export","Supported platforms limited to Notion, Obsidian, Evernote — no generic API for custom integrations","Metadata preservation unknown — unclear if all highlight metadata (tags, notes, source) is exported","Bidirectional sync not documented — likely one-way export only","Export availability by pricing tier unknown — may be premium-only feature"],"requires":["Readwise account with highlights","Account on target platform (Notion, Obsidian, or Evernote)","API credentials or authentication for target platform"],"input_types":["highlight collection (internal database)","export configuration (target platform, format, filters)"],"output_types":["formatted export (Notion database, Obsidian markdown, Evernote notes)","source attribution and metadata"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"readwise-reader__cap_8","uri":"capability://memory.knowledge.custom.tagging.and.organizational.metadata.system","name":"custom tagging and organizational metadata system","description":"Provides a hierarchical tagging system allowing users to organize highlights and documents with custom tags, enabling filtering, search, and organization. Tags are user-defined, can be applied to individual highlights or entire documents, and are searchable. System supports tag hierarchies and bulk tag operations.","intents":["I want to organize my highlights by topic, project, or source for easy retrieval","I need to filter my Daily Review to focus on highlights from specific topics or projects","I want to bulk-tag highlights from a specific source or date range"],"best_for":["researchers organizing highlights by research topic or paper","students tagging highlights by course or subject","professionals organizing content by project or client"],"limitations":["Tag hierarchy depth and structure not documented — unclear if nested tags are supported","Bulk tagging interface not documented — unclear if batch operations are available","Tag search operators not documented — cannot filter by multiple tags or tag combinations","Tag suggestions or auto-tagging not mentioned — users must manually create and apply tags","Tag management interface not described — unclear how to rename, merge, or delete tags"],"requires":["Readwise account","At least one highlight or document to tag"],"input_types":["tag name (text, user-defined)","highlight or document reference"],"output_types":["tagged highlight or document","tag metadata (creation date, usage count)"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"readwise-reader__cap_9","uri":"capability://memory.knowledge.note.attachment.and.inline.annotation","name":"note attachment and inline annotation","description":"Allows users to attach freeform text notes to individual highlights, providing context, interpretation, or follow-up thoughts. Notes are stored alongside highlights, searchable, and exported with highlight data. Notes support basic formatting (unknown if markdown or plain text only).","intents":["I want to add my own thoughts or questions to highlights as I read","I need to record follow-up actions or references related to specific highlights","I want to annotate highlights with personal context or interpretation"],"best_for":["students adding study notes to highlights","researchers recording thoughts and connections while reading","professionals capturing action items or follow-ups"],"limitations":["Note formatting support unknown — unclear if markdown, rich text, or plain text only","Note length limits not documented","Note search not explicitly documented — unclear if notes are full-text searchable","Note editing history not mentioned — no version control or edit tracking","Note visibility in exports unknown — unclear if notes are included in all export formats"],"requires":["Readwise account","Highlight to attach note to"],"input_types":["note text (user-provided, format unknown)"],"output_types":["note record associated with highlight","searchable note content"],"categories":["memory-knowledge","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"readwise-reader__headline","uri":"capability://tool.use.integration.ai.powered.reading.and.summarization.tool","name":"ai-powered reading and summarization tool","description":"Readwise Reader is an AI-powered reading extension that consolidates articles, PDFs, and tweets into one environment, offering summarization and Q&A features to enhance the reading experience.","intents":["best reading app with AI summarization","reading tool for articles and PDFs","AI Q&A for documents","best browser extension for reading","consolidated reading environment for various content types"],"best_for":["students","researchers","busy professionals"],"limitations":[],"requires":["web browser"],"input_types":["articles","PDFs","tweets"],"output_types":["summaries","answers to questions"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":57,"verified":false,"data_access_risk":"high","permissions":["Readwise account (free or paid tier)","Browser with extension support (Chrome, Firefox, Safari, Edge — specific versions unknown)","Internet connection for server-side indexing and processing","Readwise account (tier level unknown)","Saved document or highlight in Readwise Reader","Internet connection for GPT-4 API calls","Readwise API key management (internal — not user-configurable)","Readwise account","YouTube video URL with available transcript","Internet connection for transcript extraction"],"failure_modes":["PDF highlighting requires upload to Readwise servers — no local in-browser processing","Paywall-protected content cannot be ingested unless explicitly shared or forwarded","Real-time collaborative documents (Google Docs, Notion) not supported as native sources","Browser extension limited to pages where extension is active — no background content capture","GPT-4 model is fixed — no option to use alternative models (Claude, Llama, etc.)","Context window constraints unknown — unclear how system handles documents exceeding GPT-4's token limit","No custom prompt engineering exposed to users — system uses proprietary prompt templates","Q&A feature availability by pricing tier unknown — may be restricted to paid plans","Latency not specified — response time depends on document size and GPT-4 API availability","Transcript availability depends on YouTube video — not all videos have transcripts","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"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":"2026-05-24T12:16:25.061Z","last_scraped_at":null,"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=readwise-reader","compare_url":"https://unfragile.ai/compare?artifact=readwise-reader"}},"signature":"d3FZQEbOhwR83MuDbaVDJde/+B3K19DarDJ4uWZpksdPWOKzsN9TBuSu1JBYi5Rtx9YyZuG57DG3BoGpC7LZAQ==","signedAt":"2026-06-22T03:39:30.897Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/readwise-reader","artifact":"https://unfragile.ai/readwise-reader","verify":"https://unfragile.ai/api/v1/verify?slug=readwise-reader","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"}}