{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-wispr-flow","slug":"wispr-flow","name":"Wispr Flow","type":"product","url":"https://wisprflow.ai/","page_url":"https://unfragile.ai/wispr-flow","categories":["text-writing"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-wispr-flow__cap_0","uri":"capability://automation.workflow.cross.application.voice.to.text.dictation.with.os.level.input.injection","name":"cross-application voice-to-text dictation with os-level input injection","description":"Captures audio input from the user's microphone, processes it through speech-to-text conversion (likely using cloud-based ASR like Whisper API or similar), and injects the resulting text directly into the active application's input field via OS-level keyboard event simulation. This works across any application (browsers, IDEs, email clients, etc.) without requiring native integration, by hooking into the operating system's input pipeline rather than relying on application-specific APIs.","intents":["I want to dictate text into any application without switching contexts or using application-specific voice features","I need to write code, emails, or documents faster by speaking instead of typing","I want voice input to work seamlessly in legacy or third-party applications that don't have built-in voice support"],"best_for":["writers and developers who prefer voice input for rapid content creation","users with RSI or accessibility needs who cannot type for extended periods","power users working across multiple applications who want unified voice input"],"limitations":["Accuracy depends on audio quality and background noise — no built-in noise cancellation mentioned","Latency between speech end and text injection may cause timing issues in real-time collaborative editing","No context awareness of application type — cannot adapt dictation style for code vs prose","Requires microphone permissions and OS-level input access, which may be blocked by security policies"],"requires":["Windows or macOS operating system with OS-level input event access","Microphone hardware and audio input permissions","Active internet connection for cloud-based speech recognition (if applicable)","Application window focus to receive injected text"],"input_types":["audio stream from microphone"],"output_types":["text injected into active application input field"],"categories":["automation-workflow","accessibility"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-wispr-flow__cap_1","uri":"capability://text.generation.language.real.time.speech.recognition.with.automatic.text.formatting","name":"real-time speech recognition with automatic text formatting","description":"Processes continuous audio stream from microphone through a speech-to-text engine (architecture suggests cloud-based ASR, possibly Whisper or similar), applying automatic formatting rules to convert raw transcription into properly punctuated, capitalized prose. The system likely maintains a buffer of recent audio to handle edge cases like sentence boundaries and applies post-processing rules for common patterns (capitalization after periods, removing filler words, etc.).","intents":["I want to dictate naturally without worrying about punctuation and capitalization","I need transcription that's immediately usable without manual cleanup","I want to dictate code or technical content with proper formatting"],"best_for":["content creators who need clean transcription without post-editing","developers dictating code who need proper syntax preservation","non-technical users who expect natural language output"],"limitations":["Formatting rules are likely generic and may not adapt to domain-specific conventions (e.g., camelCase for code variables)","No user-configurable formatting rules mentioned — one-size-fits-all approach","Punctuation insertion is probabilistic and may fail on complex sentence structures","No context awareness of previous text in the document — each dictation session treated independently"],"requires":["Microphone with acceptable audio quality (SNR > 20dB recommended)","Internet connection for cloud ASR processing","Active application window with text input capability"],"input_types":["audio stream (continuous or chunked)"],"output_types":["formatted text with punctuation and capitalization"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-wispr-flow__cap_2","uri":"capability://automation.workflow.application.context.aware.voice.command.routing","name":"application-context-aware voice command routing","description":"Detects the currently active application window and potentially routes voice input differently based on application type (e.g., IDE vs email client vs browser). While not explicitly documented, this capability likely uses OS window focus detection and application identification to determine whether to treat input as prose, code, or structured data. The system may maintain a registry of application profiles that define how text should be formatted or injected.","intents":["I want voice dictation to adapt its behavior based on what application I'm using","I need code-aware dictation when in my IDE and prose-aware dictation in my email client","I want the system to understand context without me manually switching modes"],"best_for":["power users working across multiple application types who need context-sensitive dictation","developers who dictate both code and documentation and need appropriate formatting for each"],"limitations":["Application detection relies on window title or process name — may fail with custom or renamed applications","No documented support for custom application profiles — users cannot define their own rules","Context awareness is limited to application type, not document content or file type","No integration with IDE language detection — cannot distinguish Python from JavaScript in same IDE"],"requires":["OS-level window focus API access (available on Windows and macOS)","Application process enumeration permissions"],"input_types":["audio stream","active window metadata"],"output_types":["context-routed text output"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-wispr-flow__cap_3","uri":"capability://automation.workflow.low.latency.audio.capture.and.streaming.to.speech.recognition.backend","name":"low-latency audio capture and streaming to speech recognition backend","description":"Implements efficient audio capture from the system microphone with minimal buffering and streaming architecture to send audio chunks to a remote speech recognition service. The system likely uses a ring buffer or chunked streaming approach to minimize latency between speech end and text output, with potential local audio preprocessing (gain normalization, silence detection) to optimize cloud ASR performance and reduce bandwidth usage.","intents":["I want near-real-time feedback as I dictate — text should appear quickly after I stop speaking","I need efficient audio streaming that doesn't consume excessive bandwidth or battery","I want the system to detect when I've finished speaking and immediately return results"],"best_for":["users on metered or slow internet connections who need efficient streaming","users who require low-latency feedback for interactive dictation","laptop users concerned about battery drain from continuous audio processing"],"limitations":["Streaming latency depends on network conditions — high-latency networks may cause noticeable delays","No documented local speech recognition fallback — cloud outage means no dictation capability","Silence detection heuristics may incorrectly end dictation during natural pauses in speech","Audio preprocessing may degrade quality for accented speech or non-English languages"],"requires":["Stable internet connection (minimum 128 kbps upload bandwidth recommended)","Microphone with hardware audio input support","OS audio API access (WASAPI on Windows, CoreAudio on macOS)"],"input_types":["raw audio samples from microphone"],"output_types":["streamed audio chunks to backend, text output from ASR"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-wispr-flow__cap_4","uri":"capability://automation.workflow.system.wide.hotkey.activation.and.voice.session.management","name":"system-wide hotkey activation and voice session management","description":"Provides a global hotkey (likely configurable) that activates voice dictation from anywhere on the system, independent of application focus. The system manages voice session lifecycle — detecting hotkey press, starting audio capture, detecting end of speech (via silence timeout or explicit hotkey release), and injecting text. This requires a system-level input hook that monitors keyboard events even when the application is not in focus.","intents":["I want to activate voice dictation with a single hotkey from any application","I need to quickly switch between typing and dictating without changing focus","I want voice input to work even when my application window is not active"],"best_for":["power users who frequently switch between typing and dictating","users who want minimal friction to start voice input","developers building voice-first workflows"],"limitations":["Global hotkey may conflict with other applications' hotkeys — no documented conflict resolution","Requires elevated OS permissions (input hook) which may be blocked by security software","No documented support for custom hotkey configuration — may be hardcoded","Session management relies on silence detection, which may incorrectly end dictation during natural pauses"],"requires":["OS-level input hook permissions (may require admin/elevated privileges)","System-wide keyboard event monitoring capability","Active microphone and audio input device"],"input_types":["keyboard hotkey event","audio stream"],"output_types":["voice session state (active/inactive)","text injection to active application"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-wispr-flow__cap_5","uri":"capability://automation.workflow.text.injection.with.application.specific.input.method.adaptation","name":"text injection with application-specific input method adaptation","description":"Injects transcribed text into the active application using OS-appropriate input methods — simulating keyboard events on Windows/macOS, adapting to different input field types (text areas, code editors, rich text fields). The system likely detects the input field type and adjusts injection strategy accordingly (e.g., handling special characters differently in code editors vs prose editors, respecting undo/redo stacks).","intents":["I want dictated text to appear in any input field without special handling","I need text injection to work in code editors, browsers, email clients, and other applications","I want the injected text to integrate seamlessly with the application's undo/redo system"],"best_for":["users working across diverse applications who need universal text injection","developers who dictate code and need proper handling of special characters and syntax","users who expect dictation to feel native to their application"],"limitations":["Keyboard event simulation may not work in applications with custom input handling or security restrictions","No documented support for rich text formatting (bold, italic, etc.) — plain text only","Special character handling may differ across applications — no universal escape sequence support","Undo/redo integration is application-dependent and may not work in all editors","Cannot inject text into password fields or other protected input types"],"requires":["OS keyboard event injection API access (SendInput on Windows, CGEventPost on macOS)","Active application window with text input focus","Application that accepts keyboard input events"],"input_types":["formatted text string"],"output_types":["text appearing in active application input field"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":22,"verified":false,"data_access_risk":"high","permissions":["Windows or macOS operating system with OS-level input event access","Microphone hardware and audio input permissions","Active internet connection for cloud-based speech recognition (if applicable)","Application window focus to receive injected text","Microphone with acceptable audio quality (SNR > 20dB recommended)","Internet connection for cloud ASR processing","Active application window with text input capability","OS-level window focus API access (available on Windows and macOS)","Application process enumeration permissions","Stable internet connection (minimum 128 kbps upload bandwidth recommended)"],"failure_modes":["Accuracy depends on audio quality and background noise — no built-in noise cancellation mentioned","Latency between speech end and text injection may cause timing issues in real-time collaborative editing","No context awareness of application type — cannot adapt dictation style for code vs prose","Requires microphone permissions and OS-level input access, which may be blocked by security policies","Formatting rules are likely generic and may not adapt to domain-specific conventions (e.g., camelCase for code variables)","No user-configurable formatting rules mentioned — one-size-fits-all approach","Punctuation insertion is probabilistic and may fail on complex sentence structures","No context awareness of previous text in the document — each dictation session treated independently","Application detection relies on window title or process name — may fail with custom or renamed applications","No documented support for custom application profiles — users cannot define their own rules","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.22,"ecosystem":0.25,"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":"2026-06-17T09:51:04.690Z","last_scraped_at":"2026-05-03T14:00:20.516Z","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=wispr-flow","compare_url":"https://unfragile.ai/compare?artifact=wispr-flow"}},"signature":"gFj9GuEq9zSNTRfZ23oYz4x6au+pOfF8F6/xLT4Rpt6GG9dVwjMUGnzPrdTTkWk/uc/h4XhSd3sS4YKG71ojAg==","signedAt":"2026-06-22T18:14:54.824Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/wispr-flow","artifact":"https://unfragile.ai/wispr-flow","verify":"https://unfragile.ai/api/v1/verify?slug=wispr-flow","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"}}