{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_speechllect","slug":"speechllect","name":"Speechllect","type":"product","url":"https://speechllect.com","page_url":"https://unfragile.ai/speechllect","categories":["voice-audio"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_speechllect__cap_0","uri":"capability://text.generation.language.real.time.speech.to.text.transcription.with.multi.language.support","name":"real-time speech-to-text transcription with multi-language support","description":"Converts live audio input into text using an underlying speech recognition engine (likely cloud-based ASR via Web Audio API or similar browser-native APIs). The system captures audio streams in real-time, processes them through a speech recognition model, and returns transcribed text with minimal latency. Architecture appears to be browser-first with client-side audio capture, suggesting either local processing or low-latency cloud inference.","intents":["I need to capture spoken words as text without manually typing during a conversation or meeting","I want to transcribe audio in real-time while preserving the original emotional tone for later analysis","I need a lightweight transcription tool that doesn't require complex setup or API configuration"],"best_for":["Therapists and coaches conducting sessions who need verbatim conversation records","Customer service teams documenting call interactions without manual note-taking","Solo practitioners or small teams without enterprise transcription budgets"],"limitations":["Accuracy and language support not publicly documented — unclear which ASR engine is used or performance benchmarks","No indication of support for multiple speakers or speaker diarization","Browser-based implementation may have audio quality constraints depending on microphone and network conditions","No offline mode mentioned — requires internet connectivity for transcription"],"requires":["Modern web browser with Web Audio API support (Chrome, Firefox, Safari, Edge)","Microphone access with user permission granted","Active internet connection for cloud-based ASR processing"],"input_types":["audio stream (live microphone input)"],"output_types":["text (transcribed speech)"],"categories":["text-generation-language","audio-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_speechllect__cap_1","uri":"capability://data.processing.analysis.emotional.sentiment.analysis.from.speech.with.real.time.labeling","name":"emotional sentiment analysis from speech with real-time labeling","description":"Analyzes audio input or transcribed text to detect and classify emotional states (e.g., happy, sad, angry, neutral, frustrated) and returns sentiment labels alongside transcription. The implementation likely uses either acoustic feature extraction from raw audio (pitch, tone, speech rate) or NLP-based sentiment classification on transcribed text, or a hybrid approach. Sentiment labels are surfaced in real-time or near-real-time during or immediately after transcription.","intents":["I want to understand the emotional context of a conversation without relying solely on words","I need to flag high-emotion moments in customer service calls for quality assurance or coaching","I want to correlate emotional shifts with specific topics discussed in therapy or coaching sessions"],"best_for":["Therapists and coaches analyzing client emotional patterns across sessions","Customer service quality assurance teams identifying escalated or dissatisfied interactions","Researchers studying emotion-speech correlations in controlled settings"],"limitations":["Emotion detection methodology, training data, and accuracy metrics are not publicly disclosed — no transparency on false positive/negative rates","No indication of support for nuanced emotions (e.g., sarcasm, mixed emotions) — likely limited to broad categories","Accuracy likely degrades with background noise, accents, or non-English languages","No explanation of whether emotion detection is acoustic-based, text-based, or hybrid — makes reproducibility and debugging difficult","No mention of cultural or demographic bias testing in emotion classification"],"requires":["Audio input with sufficient clarity (background noise may degrade accuracy)","Supported language (likely English-primary, others unknown)"],"input_types":["audio stream (raw acoustic features)","text (transcribed speech for NLP-based analysis)"],"output_types":["structured data (emotion labels with confidence scores or categorical tags)"],"categories":["data-processing-analysis","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_speechllect__cap_2","uri":"capability://automation.workflow.freemium.access.with.no.credit.card.requirement","name":"freemium access with no credit card requirement","description":"Offers a free tier of the product accessible without payment information or account verification, allowing users to test core transcription and emotion detection features before committing to paid plans. The freemium model likely includes usage limits (e.g., minutes per month, number of sessions) and may restrict advanced features to paid tiers. No credit card requirement lowers friction for initial adoption.","intents":["I want to try emotion-aware transcription without financial commitment or risk","I need to evaluate whether this tool fits my workflow before recommending it to my team","I'm a solo practitioner with limited budget and want to test the product before purchasing"],"best_for":["Solo therapists, coaches, and small customer service teams evaluating the tool","Non-technical founders or practitioners exploring emotion analytics without IT procurement","Researchers or students prototyping emotion-speech analysis projects"],"limitations":["Free tier usage limits not publicly specified — unclear how many transcription minutes or sessions are included","No information on feature parity between free and paid tiers — unclear what advanced features require payment","Free tier may include watermarks, lower accuracy, or delayed processing","No indication of data retention or privacy terms for free users"],"requires":["Email address for account creation (credit card not required)"],"input_types":[],"output_types":[],"categories":["automation-workflow","business-model"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_speechllect__cap_3","uri":"capability://automation.workflow.lightweight.browser.based.interface.with.minimal.navigation","name":"lightweight browser-based interface with minimal navigation","description":"Provides a simplified, focused UI optimized for voice input with minimal menu complexity or feature discovery overhead. The interface likely centers on a single 'record' button or similar primary action, with emotion and transcription results displayed inline or in a sidebar. Design prioritizes ease-of-use for non-technical users (therapists, coaches) over feature richness, reducing cognitive load during active listening.","intents":["I want to start recording and transcribing with a single click without navigating menus","I need a distraction-free interface that doesn't interrupt my focus during a client session","I want to see transcription and emotion results without complex configuration or settings"],"best_for":["Non-technical practitioners (therapists, coaches) who prioritize simplicity over feature depth","Users conducting live sessions who need minimal UI interaction during recording","Teams or individuals with low technical literacy"],"limitations":["Minimal navigation may limit advanced features or customization options","No indication of keyboard shortcuts, accessibility features, or mobile responsiveness","Lightweight design may sacrifice power-user workflows (e.g., batch processing, advanced filtering)","Unknown whether UI is responsive or optimized for mobile/tablet use during sessions"],"requires":["Modern web browser"],"input_types":[],"output_types":[],"categories":["automation-workflow","user-experience"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_speechllect__cap_4","uri":"capability://memory.knowledge.session.based.conversation.capture.and.storage","name":"session-based conversation capture and storage","description":"Organizes transcriptions and emotion data into discrete sessions (e.g., therapy sessions, customer calls) with metadata (timestamp, duration, participants). Sessions are stored and retrievable for later review, comparison, or export. Architecture likely uses a simple database (SQL or NoSQL) to persist session records with associated transcripts and emotion labels, indexed by user and timestamp for retrieval.","intents":["I want to maintain a searchable archive of past sessions with transcripts and emotional patterns","I need to review specific sessions to track client progress or identify recurring issues","I want to export session data for clinical notes, reports, or team review"],"best_for":["Therapists and coaches maintaining client session records over time","Customer service teams reviewing call transcripts for quality assurance","Researchers analyzing longitudinal emotion-speech patterns"],"limitations":["No indication of session organization features (e.g., tagging, categorization, search by emotion or keyword)","Unknown whether sessions are encrypted at rest or in transit","No mention of data retention policies or automatic deletion schedules","Unclear if sessions can be shared with team members or exported in standard formats (PDF, CSV, JSON)","No indication of version control or audit trails for session modifications"],"requires":["User account with persistent storage"],"input_types":["transcription text","emotion labels","session metadata (timestamp, duration)"],"output_types":["structured data (session records with transcripts and emotion data)"],"categories":["memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["Modern web browser with Web Audio API support (Chrome, Firefox, Safari, Edge)","Microphone access with user permission granted","Active internet connection for cloud-based ASR processing","Audio input with sufficient clarity (background noise may degrade accuracy)","Supported language (likely English-primary, others unknown)","Email address for account creation (credit card not required)","Modern web browser","User account with persistent storage"],"failure_modes":["Accuracy and language support not publicly documented — unclear which ASR engine is used or performance benchmarks","No indication of support for multiple speakers or speaker diarization","Browser-based implementation may have audio quality constraints depending on microphone and network conditions","No offline mode mentioned — requires internet connectivity for transcription","Emotion detection methodology, training data, and accuracy metrics are not publicly disclosed — no transparency on false positive/negative rates","No indication of support for nuanced emotions (e.g., sarcasm, mixed emotions) — likely limited to broad categories","Accuracy likely degrades with background noise, accents, or non-English languages","No explanation of whether emotion detection is acoustic-based, text-based, or hybrid — makes reproducibility and debugging difficult","No mention of cultural or demographic bias testing in emotion classification","Free tier usage limits not publicly specified — unclear how many transcription minutes or sessions are included","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2833333333333333,"quality":0.63,"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":"2026-05-24T12:16:33.096Z","last_scraped_at":"2026-04-05T13:23:42.562Z","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=speechllect","compare_url":"https://unfragile.ai/compare?artifact=speechllect"}},"signature":"mr3r6QHa0DP9jr0+SuAJbLBuJVWpURMZELHeIYwtNFk6WEuuma0Z3tgG3TWEJEjMmxNMA3GinSFrHHd8DDJOCg==","signedAt":"2026-06-22T18:31:35.364Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/speechllect","artifact":"https://unfragile.ai/speechllect","verify":"https://unfragile.ai/api/v1/verify?slug=speechllect","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"}}