AI voice-to-text app for macOS, Windows and iOS that turns speech into polished text in any app.
AI voice-to-text app for macOS, Windows and iOS that turns speech into polished text in any app.
Superwhisper is an AI dictation app for people who want to write by speaking across their normal tools. The fetched homepage describes “AI powered voice to text for macOS, Windows, and iOS,” with dictation in any app, offline and cloud speech recognition, 100+ languages, custom AI modes, SOC 2 Type II certification, and HIPAA-compliant positioning. Structured homepage data lists a Free offer at $0 and Pro Monthly at $8 USD. The direct https://superwhisper.com/pricing URL returned a 404 page during this curl pass, so the profile keeps manual verification enabled even though the homepage pricing evidence is useful.
The product is most valuable when it replaces repeated typing, not when it tries to become a meeting platform. Superwhisper works in everyday apps such as Slack, Gmail, Notion, browsers, and developer tools. The homepage also names coding workflows with Cursor, Claude Code, OpenCode, Amp, and Codex, which makes it especially relevant for developers who want to dictate prompts, implementation notes, commit-message drafts, or issue updates without switching context. Custom modes are the practical differentiator: users can set tone, formatting rules, structure preferences, and specialized prompts so rough speech turns into polished email, documentation, or task-specific text.
A good evaluation should take less than one hour. Test five real tasks: a short email, a long memo, a Slack reply, a technical note with product names or code terms, and a noisy-room capture. Track recognition accuracy, cleanup time, latency, offline behavior, whether text lands in the right app, and whether custom vocabulary improves after setup. If the tool reduces typing and editing time by 30% or more on repeated tasks, the $8/month Pro evidence is easy to justify for individual users. If cleanup takes as long as typing, it is not the right fit.
Superwhisper is not Otter.ai, tl;dv, Granola, or Fathom. It does not primarily solve shared meeting transcripts, speaker labels, CRM sync, or team meeting analytics. It is closer to Wispr Flow: a system-wide dictation layer for personal productivity and accessibility. Compare Superwhisper with Otter.ai (/tools/otter-ai), tl;dv (/tools/tldv), Krisp (/tools/krisp-ai), and Deepgram (/tools/deepgram). Choose it when you think faster by speaking and need polished text in many apps. Skip it if your real requirement is meeting intelligence, enterprise admin, or searchable team transcripts.
Privacy and deployment deserve a separate check. The homepage references offline use, SOC 2 Type II certification, and HIPAA-compliant positioning, but buyers should still verify exactly which models run locally, which requests use cloud processing, how audio is retained, and whether custom modes send text to third-party model providers. That is especially important for clinicians, lawyers, founders, and developers dictating sensitive material.
Was this helpful?
SuperWhisper runs OpenAI Whisper models locally on Apple Silicon, allowing transcription to happen entirely without an internet connection. This is critical for professionals handling confidential information, since audio and transcripts never leave the device. Users can choose between different model sizes to balance accuracy against CPU and memory usage.
A configurable global hotkey triggers SuperWhisper from anywhere in the operating system, and the transcribed text is inserted directly into whatever app and input field currently has focus. This means it works identically in Slack, VS Code, Notion, Gmail, browser forms, and native apps, rather than being locked to a single editor or extension.
Users can define any number of modes — such as "Email Reply," "Meeting Notes," or "Code Comment" — each with its own LLM, prompt template, and language settings. Switching modes reshapes how the transcription is processed, enabling the same voice input to produce polished email copy in one mode and structured bullet notes in another. This turns SuperWhisper into a programmable voice interface rather than a static dictation tool.
Beyond raw transcription, SuperWhisper can pipe text through GPT-4, Claude, Gemini, or local models via Ollama to clean up grammar, translate, summarize, or reformat before insertion. Users bring their own API keys, keeping data flow under their control. This bridges the gap between raw speech and polished, context-appropriate written output.
SuperWhisper lets users add custom words, names, acronyms, and domain jargon that standard Whisper models frequently mistranscribe. Medical terms, product names, teammate names, and technical acronyms can all be enforced, dramatically improving accuracy for specialized workflows. This is particularly valuable for engineering, medical, and legal users whose vocabularies differ from general training data.
Ready to get started with Superwhisper?
View Pricing Options →We believe in transparent reviews. Here's what Superwhisper doesn't handle well:
Weekly insights on the latest AI tools, features, and trends delivered to your inbox.
SuperWhisper continues to expand its Windows client toward feature parity with macOS, adds newer local models and expanded LLM provider support (including Claude and local Ollama models), and has rolled out deeper custom-mode workflows and voice-triggered actions for automating tasks beyond plain transcription.
No reviews yet. Be the first to share your experience!
Get started with Superwhisper and see if it's the right fit for your needs.
Get Started →Take our 60-second quiz to get personalized tool recommendations
Find Your Perfect AI Stack →Explore 20 ready-to-deploy AI agent templates for sales, support, dev, research, and operations.
Browse Agent Templates →