7 Best Voice-to-Text Apps for Mac (2026)

SuperWhisper is the most polished paid voice-to-text app for Mac. It runs Whisper locally by default with optional cloud-hybrid fallback for low-confidence segments. The killer feature is Custom Modes — you can define profiles for different contexts (formal emails, code comments, legal dictation, Slack DMs) each with their own vocabulary, output formatting, and AI post-processing rules.

WER in our test: 3.5% local-only, 3.2% cloud-hybrid mode (which uploads partial audio to OpenAI Whisper API). The cloud mode burns 16.4W on M3 versus 4.6W local-only — a 3.6× battery penalty for a 0.3-percentage-point accuracy gain that most users will not notice.

SuperWhisper has an iOS companion app that syncs vocabulary across devices via iCloud. Push-to-talk and toggle modes both work. The vocabulary learning is faster than MetaWhisp's because the developer ships frequent model retraining via the auto-updater.

Wispr Flow markets itself as "4× faster than typing" — and on a fast internet connection, the claim holds. It's a fully cloud-based service: every utterance you speak uploads to Wispr's servers, transcribes via their hosted Whisper variant, and returns text in 200-500 ms. The latency is barely perceptible on a wired 100 Mbps connection but jumps to 800-1500 ms on shared coffee-shop Wi-Fi.

WER in our test: 3.5% on clean English (matches MetaWhisp), 4.8% on accented English (slightly worse than local Whisper large-v3-turbo). The auto-edit features are excellent: personal dictionary, snippet library, tone adjustment (formal/casual), and built-in translation across 25+ languages on Pro tier. For more details, see our Wispr Flow pricing breakdown.

The free tier caps at 2,000 transcribed words per week — roughly 13 minutes of dictation. Most daily users hit the cap by Tuesday. Pro at $12/month removes the cap and unlocks Custom Voice commands. For an unbiased look at the trade-offs, see our battery benchmark.

Otter is purpose-built for meetings. It joins Zoom, Google Meet, and Teams calls via OAuth, transcribes in real-time, and produces AI summaries with action items extracted to a shareable document. Speaker diarization (who-said-what) hits 90-95% accuracy in 2-4 speaker meetings, dropping to 75-85% in 5+ speaker calls per Otter's published benchmarks.

What Otter is NOT: a system-wide dictation tool. You cannot press a hotkey and dictate into Slack or VS Code. The product is a meeting assistant first and a typing tool zero. Its $16.99/month price ($204/year) sits at the top of the consumer tier.

For healthcare workflows, Otter's Business tier ($30/seat/month) offers a Business Associate Agreement (BAA) on request, making it HIPAA-eligible — see our HIPAA speech-to-text guide for the compliance details. Free and Pro tiers do not include BAA and are not HIPAA-compatible for ePHI.

MacWhisper is the file-transcription specialist. Drop an audio or video file — .mp3, .wav, .m4a, .mp4, even .mov — and it transcribes locally using Whisper large-v3 or small. No hotkey-to-speak, no auto-paste, no real-time dictation. Just file in, transcript out.

WER on file-based transcription: 3.5% on clean English (matches MetaWhisp), 4-5% on noisy podcasts with intro music. Supports SRT and VTT export with timestamps, plus speaker diarization via the bundled pyannote model. The $32 one-time price (lifetime updates included) sits at the value sweet spot for journalists, podcasters, and researchers who transcribe existing recordings rather than dictate fresh content.

For the same audio-file workflow inside Microsoft Word, our how to transcribe audio into Word guide covers MacWhisper, Word M365 Transcribe, and online alternatives side-by-side.

Apple's built-in Dictation (press Fn Fn or enable in System Settings → Keyboard → Dictation) is the obvious starting point. Free, ships with macOS, works in most native apps. The problem: accuracy.

WER in our test: 11-14% on accented English, 7-9% on standard American English. That gap matters in practice — a 5-minute dictation produces 50-100 errors versus 15-25 from Whisper-based tools. Apple's model struggles with technical vocabulary, proper nouns, and any accent that isn't standard American English, per Apple's official Dictation documentation.

The "Enhanced Dictation" mode on Apple Silicon Macs runs entirely on-device, which solves the privacy concern. But accuracy stays in the 11-14% WER range — not a fix. For the privacy-with-accuracy combination, MetaWhisp or SuperWhisper local-mode are the right answers. See our Mac Dictation troubleshooting guide for the common configuration fixes when the built-in feature breaks.

Google Voice Typing uses Google's speech engine — one of the best in the world for raw accuracy. WER in our test: 5-7% on clean English, 8-10% on accented English. Strong numbers.

The catch: it works only inside Google Docs in Chrome. You cannot dictate into Slack, VS Code, Mail, Notes, or any other app. The feature is locked to Google's product, not the OS. For users who write everything in Google Docs, it's a reasonable free option. For everyone else, it's a non-starter as a system-wide tool.

All audio uploads to Google servers — same privacy posture as Wispr Flow but without the cross-app integration. Available in 100+ languages with built-in voice commands for formatting (bold, italic, paragraph breaks), per Google's official Voice Typing documentation.