Sway

Product Introduction

1. Definition: Sway is a voice-to-structure productivity tool (technical category: AI-powered speech recognition and natural language processing application) that converts spontaneous spoken input into organized text outputs.
2. Core Value Proposition: Sway eliminates cognitive friction for verbal thinkers by automatically transforming unstructured speech into actionable summaries, key points, and to-dos—requiring zero manual formatting or prompt engineering.

Main Features

1. Automatic Speech Structuring:

   • How it works: Proprietary NLP algorithms analyze raw audio input in real-time, identifying semantic patterns to extract core concepts. Outputs include categorized summaries, bullet-point insights, and task lists without user intervention.
   • Technology: Combines transformer-based speech recognition (similar to Whisper) with intent-classification models optimized for conversational speech.

2. Zero-Input Recording:

   • How it works: Users trigger recording via mobile/web app during activities (walking, driving, post-meeting). The system processes pauses, filler words, and fragmented phrases into coherent structures.
   • Technical Specs: Background noise suppression and speaker diarization enable reliable capture in dynamic environments.

3. Instant Actionable Outputs:

   • How it works: Generates three distinct output formats simultaneously: executive summaries (1-3 sentences), categorized key points (bulleted insights), and prioritized to-dos (deadline-aware tasks).
   • Technical Specs: Outputs integrate with calendars/task managers via API and support one-click export.

Problems Solved

1. Pain Point: Cognitive leakage—ideas lost during typing delays or context switching. Sway captures thoughts at speech speed (150 WPM vs. typing’s 40 WPM).
2. Target Audience:
   • Verbal processors (e.g., entrepreneurs brainstorming, therapists noting session insights)
   • Mobile professionals (sales reps post-call, field engineers)
   • Neurodiverse users (ADHD thinkers, auditory learners)
3. Use Cases:
   • Meeting Synthesis: Records team discussions → auto-generates decisions/action items.
     Creative Workflows: Captures voice memos during walks → outputs structured idea trees.
     Time-Sensitive Logging: Documents urgent issues hands-free (e.g., driving, lab work).

Unique Advantages

1. Differentiation vs. Competitors: Unlike Otter.ai (transcription-focused) or Notion (manual input), Sway skips raw transcripts to deliver pre-structured insights. Outputs are immediately usable without editing—saving 3x revision time.
2. Key Innovation: Context-aware segmentation technology that maps spoken fragments to organizational frameworks (e.g., separating objectives from blockers in rambling narratives).

Frequently Asked Questions (FAQ)

1. How does Sway handle accents or background noise?
   Sway’s speech recognition uses multi-lingual acoustic models trained on diverse datasets, with adaptive noise cancellation for 90% accuracy in moderate-noise environments (e.g., cafes, moving vehicles).

2. Can Sway integrate with other productivity tools?
   Yes, Sway exports structured outputs to Google Tasks, Todoist, and Notion via one-click sync, with calendar integration for deadline-driven to-dos.

3. Is my voice data stored or used for training?
   Recordings are processed locally when possible; cloud-processed data is encrypted and deleted after 24 hours. Users opt-in for anonymized data contribution to improve models.

4. What’s the maximum recording duration for optimal results?
   Sway maintains high accuracy for recordings under 10 minutes—ideal for capturing focused thoughts. For longer sessions (e.g., lectures), it segments content by topic shifts.

5. Does Sway require internet connectivity?
   Basic recording works offline, but AI structuring requires cloud processing. Mobile apps cache audio for auto-upload when reconnected.