Wispr Flow turns your voice into perfectly formatted text across every app on your device. Speak naturally and Flow handles the rest: real-time auto-edits, tone matching, and context-aware formatting so you never rewrite a single word. Works in 100+ languages including mixed-language dictation like Hinglish. Available on Mac, Windows, iPhone, and Android. One intelligent voice system, every device. Write 4x faster by just talking.
Intent
I need it when
Maintain consistent terminology and tone across team communication
Flow's shared dictionary and snippets let teams add company jargon, product names, and acronyms once, then reuse them automatically. Shared snippets store formatted responses (e.g., support FAQs, scheduling links) that insert with a single voice cue, ensuring consistency and reducing repetitive typing.
Reduce typing strain and accessibility barriers
Flow enables users with Parkinson's, RSI, stuttering, or other conditions to communicate and create without keyboard dependency. Whisper mode works in quiet shared spaces, and privacy mode ensures zero data retention for sensitive environments, making voice dictation accessible and safe for all users.
Track team productivity and adoption metrics
Flow Pro and Enterprise plans include usage dashboards showing total words dictated, top apps, and adoption trends. Enterprise teams get advanced analytics and admin controls for centralized billing, SSO/SAML, and compliance (SOC 2 Type II, ISO 27001, enforced HIPAA), enabling IT to monitor ROI and enforce security policies.
Write and communicate 4x faster without typing
Flow converts natural speech into polished, formatted text across any app (Gmail, Notion, Slack, etc.) with AI-powered auto-editing that removes filler words and fixes punctuation. Users achieve 220 words per minute via voice versus 45 wpm typing, enabling rapid email replies, message composition, and document drafting.
Dictate code and technical content accurately
Flow includes syntax awareness for camelCase, snake_case, CLI commands, and developer jargon (Supabase, Vercel, etc.). File tagging in Cursor/Windsurf automatically associates dictation with the correct file context, enabling developers to stay in flow state while speaking code commits, refactors, and documentation.
Drop
Not a fit when
User requires offline-only voice dictation with no cloud processing or data transmission
User needs real-time transcription for live broadcast or streaming with sub-second latency requirements
User operates in an environment where microphone input is unavailable or unreliable
User requires dictation in languages outside the 100+ supported languages
User needs integration with legacy systems that do not support text input APIs or keyboard emulation