CaptionNow 廣東話即時字幕・語音轉文字

Live captions for any app on your iPhone. Watch videos, join calls, or browse social media — CaptionNow floats real-time captions over everything you do.

A real-time speech-to-text tool built around two things: accuracy and low latency.

The developer is hard of hearing, and couldn't find a single app that handled Hong Kong Cantonese properly — the code-switching between Chinese and English, the technical terminology — while staying accurate and returning results instantly. So this one got built. Every decision in it comes from what actually holds up in daily use, not from a feature checklist.

Features

Live transcript — Text appears as you speak. No waiting for the sentence to finish.

Captions for audio playing on your phone — Not just the microphone. Video calls, videos, and podcasts get transcribed too, which most comparable tools can't do.

Floating captions — Picture-in-Picture keeps captions on screen while you use other apps.

You pick the language; it doesn't guess — Mandarin (Taiwan / Mainland), Hong Kong Cantonese including Chinese-English code-switching, and English (US / UK / India / Hong Kong). Once you choose, it stays there — no drifting between languages mid-sentence.

Offline recognition — Download a language pack on iOS 26 or later and it works without a network connection.

Built for long reading sessions — No decorative clutter. Comfortable to watch through an entire lecture.

Who it's for

Deaf and hard-of-hearing users — Everyday communication support. See what's being said.

Students — Live lecture notes, without losing the thread while you try to keep up.

Professionals — Meeting minutes and interview transcripts, handled as they happen.

Specifications

This is transcription, not translation. What goes in is what comes out — with one exception: spoken Cantonese is transcribed into standard written Chinese, with English terms kept inline as spoken.

Online mode uses a cloud recognition engine. Offline mode requires iOS 26 or later.

Real examples of recognition errors are welcome — they're the most effective way to improve accuracy right now.

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