How ListenIn compares
All four apps do the same core thing well: you speak, clean text appears where
your cursor is. If you dictate single-language English prose, any of
them will serve you — recognition quality at that task is close to a tie.
The differences show up at the edges. Here is where each one actually wins.
Where ListenIn wins
- Mixed Chinese–English speech. Sentences like
「我用 Claude Code 写了个 component」 are ListenIn's home turf: the cleanup
layer is tuned for zh-en code-switching, and technical terms survive
(Claude doesn't become clock). Tools tuned for English-first
audiences tend to fall apart at the switch points.
- Recognition never leaves the Mac. Speech-to-text runs on
Apple's on-device engine — the audio physically stays on your machine; only
recognized text goes out for cleanup. There is also a fully offline
mode (local model via Ollama) and bring-your-own-key.
- A prompt mode built for AI coding agents. A dedicated key
turns rambling into a structured prompt — goal, numbered steps, constraints —
and can send it straight to Claude Code or Cursor.
- Price. $12/mo or $96/yr, with a free tier of 2,000
cleaned words per week that needs no account.
Where the others win
- Typeless has a longer track record, a polished
cross-app tone system, and a larger team behind it. If you dictate mostly
English and want the most battle-tested option, it's a fine choice.
- superwhisper offers deep model choice (run any local
Whisper variant) and a one-time-purchase option — great for tinkerers who
want full control over the recognition model itself.
- Wispr Flow has the smoothest onboarding and strong
multi-platform support (including Windows and iOS keyboard), with a large
user community.
The honest bottom line
Pick by your speech, not by feature counts: if your sentences mix 中文 and
English — or you spend your day talking to AI coding agents — ListenIn was
built for exactly you. If you dictate pure English and want maximum
model tinkering, superwhisper; maximum polish, Typeless or Wispr Flow.
Try ListenIn free — 2,000 words/week