Keebye vs Superwhisper: Local Dictation Compared

Keebye and Superwhisper both address developer dictation. Superwhisper documents offline transcription, configurable modes, and a Claude Code workflow that explicitly supports parallel work. Those capabilities are not exclusive to Keebye. Official sources checked on 9 September 2026; this page is not a comparative benchmark.

We build Keebye, so we can be specific about our product and should be restrained about Superwhisper. This comparison focuses on the work you can evaluate directly: feeding parallel agent lanes, inserting text into terminals, keeping speech off the network, and dictating in your language.

Which tool fits a parallel-agent workday?

Use the same workday to evaluate both: Claude Code waits for a redirect in one terminal, Cursor needs a prompt in another window, and a code review needs your reply. Compare where each tool puts your attention and how much text repair you need before sending.

Keebye treats voice as the control channel for the lane in focus. Hold Right Command, speak, and release to insert a prompt. You can choose Fn or Right Option instead, and a tap toggles recording for longer instructions. Focus the next Claude Code or Cursor lane and repeat.

This does not run the lanes for you. It cuts the handoff between deciding what an agent should do and putting that instruction at its cursor. Driving Claude Code with your voice shows the full loop with prompts, redirects, and reviews.

Test this with the number of lanes you actually keep open. A voice workflow that feels smooth in a blank editor can still fail once a terminal is busy and your attention is split.

What happens in terminals, SSH, and tmux?

Terminal insertion is a pass-or-fail test, not a minor feature. Keebye pastes by default and uses terminal-aware chunking in terminal contexts. When paste is the wrong tool, opt-in type mode sends text as Unicode synthetic keystrokes instead. That mode is built for SSH, tmux, and non-QWERTY layouts where clipboard insertion can be unreliable.

On a Mac, Keebye also refuses secure and password fields; the Windows version has no such check yet. If the focused field is protected, it will not insert the transcript. That boundary matters more than shaving another step off setup.

Both Keebye insertion paths matter in the terminal you use every day. A clean demo in Notes says nothing about Claude Code inside tmux over SSH.

Does Keebye have a cloud transcription path?

No. Keebye's speech engines run on your Mac: Parakeet is the English-tuned default, Canary is the opt-in multilingual engine, and on a Mac, Apple native is the third option. Rule-based cleanup runs locally, as does the optional local-LLM polish pass.

There is no cloud path for transcription or cleanup. The dictation path makes no network calls. Keebye connects for model downloads, app update checks, and sign-in plus trial or plan checks -- never to send audio. Once the selected model is downloaded, dictation works offline. Audio stays on the Mac, history is local and text-only with 30-day auto-delete, and Keebye has no telemetry.

Offline dictation demonstrates the architectural boundary: with the model downloaded and the network disconnected, speech-to-text and cleanup still run locally.

If your real comparison is local processing against a cloud-first workflow, read Keebye vs Wispr Flow.

What do "25 languages" and "batch" mean?

Keebye says exactly what the current app does. The optional Canary engine supports exactly 25 languages. Settings exposes all 25; the tray provides 11 quick-switch choices. Pin a language, and the app reads that choice for the next utterance instead of asking you to trust automatic detection.

Transcription is batch. Your text appears when you release the hotkey, not word by word while you speak. The default Parakeet engine is English-tuned, and Canary is a deliberate opt-in for multilingual dictation. Those are product boundaries, not footnotes.

The useful language check is a real reply in the language you use with teammates or clients. Accuracy on names, technical terms, and punctuation matters more than a clean sample sentence.

When should you pick Superwhisper?

You prefer its documented custom modes or Claude Code floating-window workflow to dictating directly into the app you focus.
Your current Superwhisper workflow already works, and none of the tests below exposes a problem worth switching for.
A Keebye boundary rules it out: it ships only for Apple Silicon Macs and 64-bit Windows PCs, transcripts appear on key release, or Canary's 25-language set does not cover your language.

Switching tools adds churn. If you cannot name the work problem a switch would fix, keep the tool that already fits.

When should you pick Keebye?

You move long prompts and short redirects across several Claude Code or Cursor lanes.
Your real destinations include terminals, SSH sessions, and tmux panes, so you need paste chunking or Unicode type mode.
You want an on-device-only speech and cleanup path, with no cloud transcription option to configure around.
You want a pinned Canary language and an exact claim of 25 supported languages rather than an open-ended number.

Keebye is batch by design. Choose it for the workflow it handles, not because every checklist row is longer.

The verdict

There is no universal winner. Superwhisper may already cover your day well. Keebye is the better test when your decision turns on parallel agent lanes, hostile terminal insertion, a strict local-only architecture, or a pinned language in Canary's 25-language set.

Keebye is in early access, and the burden is on it to make one of those jobs noticeably easier during the trial. If it does not, there is no reason to switch.

What should you evaluate side by side?

These checks are a test plan, not results. Use the same input and judge the final text you would actually send.

Buyer task	Keebye check	Superwhisper check
Redirect a waiting agent	Focus the existing terminal and review the inserted prompt.	Compare its documented Claude Code workflow with your current terminal routine.
Keep a sensitive draft local	Download the model, disconnect, and dictate into a local editor.	Select an offline model and check the processing settings for the chosen mode.
Preserve project-specific wording	Test dictionary replacements and inspect names, paths, and negation.	Use the documented voice-to-text or custom modes and inspect the same wording.

Measure processing and correction time in each installed app before deciding; speaking rate alone is not completed-work speed.

Run this switch test during the 14-day trial

Use real destinations, not a clean demo document. Run these three dictations before deciding:

Feed a busy Claude Code lane. Focus a lane with existing output and dictate one long prompt: "Keep the parser extraction, revert the public type rename, add a regression test for empty input, then run the affected tests and report the exact files you changed." Check how much repair the prompt needs before you submit it.
Insert through SSH and tmux. Enable type mode, focus Claude Code inside an SSH or tmux pane, and dictate a project-specific redirect with punctuation and non-ASCII text. Confirm that it arrives as typed Unicode without using the clipboard. Use an ordinary prompt field, not a password field.
Reply in your native language. Select Canary, pin your language, and dictate a reply you would genuinely send. Confirm that the selected language is used for that next utterance, then inspect names and technical terms.

If Keebye wins the jobs that slow your lanes down, start the free trial below and run this test through one normal workday. Keep Keebye only if it makes those jobs noticeably easier.