Qugora is in pre-release: downloads, sign-in and Pro subscriptions aren’t open yet.

Qugora vs Wispr Flow

The biggest differences are where audio is processed and how you fix mistakes. Wispr Flow says transcription always happens in the cloud, while Qugora recognizes speech on your device by default. Wispr Flow’s Command Mode rewrites selected text by voice command; Qugora targets the few misrecognized words with candidates, a partial re-say or a description of the word.

Wispr Flow is live with paid plans, covers Mac, Windows, iOS and Android, and offers team plans and meeting notes, so it suits people who need multiple devices or team features. Qugora suits people on Mac or Windows who often get stuck on numbers, English words and names and want audio to stay local, but it is still in pre-release.

Qugora and Wispr Flow, side by side

Item Qugora Wispr Flow
Platforms macOS (Apple silicon) and Windows 10 / 11 (64-bit) Dictation: Mac, Windows, iOS, Android; Notetaker (meeting notes) on Mac / Windows only [1]
Price Free $0 with 50k Qugora Cloud tokens a month; Pro $30/month or $144/year (USD) with 3M tokens a month; 14-day Pro trial for new accounts (Planned prices; the Pricing page is authoritative at launch) Free: 2,000 words/week; Pro $12/user/month billed yearly or $15 monthly; Growth $18 yearly or $23 monthly; Enterprise custom (USD) [1]
Processing / privacy Speech recognition runs on device; audio and text stay on your computer by default. The AI model can be Qugora Cloud (token counts only, content not stored), your own API key or a local model. Not used for training States “Transcription always happens in the cloud”; audio sent over TLS and deleted after transcription unless cloud storage is on; data training can be turned off; SOC 2 Type II, ISO 27001 [2]
Chinese support Chinese and English; mixed Chinese/English, numbers and names are the focus Says 100+ languages with auto-detection; no Chinese-specific notes found [3]
Fixing recognition errors Swipe the wrong words on the trackpad (or drag with a mouse), then pick a candidate, re-say only those words, or describe the word; only that span is replaced Self-corrections mid-sentence keep only the final version; Command Mode rewrites selected text by voice command (Mac / Windows, Pro / Enterprise / trial, off by default). No candidate list or partial re-say found [3] [4]
Personal dictionary Yes. Every fix goes into an on-device personal lexicon you can view, edit or delete Yes. Learns names and terms automatically or add them manually; Snippets; shared team dictionary [3]
Release status Pre-release; downloads not open yet Live, with free and paid plans [1]
Other features AI model removes filler words and adds punctuation; local memory library, each item kept only after you approve it Per-app style, whisper recognition, meeting notes (Notetaker) [1] [3]

Competitor information checked on 2026-11-15; their official site is authoritative. Qugora information is from this site. “Not found” means we couldn’t find it, not that it doesn’t exist. Spot an error? Email hello@qugora.com and we’ll fix it.

Sources for Wispr Flow

  1. Wispr Flow pricing: wisprflow.ai/pricing
  2. Wispr Flow privacy: wisprflow.ai/privacy
  3. Wispr Flow home page: wisprflow.ai
  4. Wispr Flow docs: Command Mode: docs.wisprflow.ai/articles/4816967992-how-to-use-command-mode

When to choose Wispr Flow

  • You also dictate on your phone: Wispr Flow supports iOS and Android.
  • Your team needs a shared dictionary, central management, or Growth / Enterprise plans.
  • You want meeting notes (Notetaker), per-app styles or whisper recognition.
  • Procurement requires certifications such as SOC 2 Type II and ISO 27001.
  • You need a product that is available today.

When to choose Qugora

  • You want speech recognition on your device, with audio staying on your computer by default.
  • Numbers, English words and names often trip you up, and you want to swipe them and pick a candidate or re-say just those words.
  • You want every fix saved to a personal lexicon so the same word is more likely right next time.
  • You want to use your own LLM API key or a local model.
  • You type mainly on Mac or Windows and can wait for the public launch.

Keep reading

macOS · coming soon Windows · coming soon

Pre-release: installers aren’t available yet. Downloads will appear here at launch.