We shipped the Highlight feature for FluentCap, addressing a common problem: when transcribing long content like 2-hour lectures or movies, important information gets buried in thousands of words and becomes difficult to find later.

Highlight allows marking key moments in real-time, even while the transcript is still streaming.

How It Works

During live transcription, FluentCap uses Instant-Apply Mode. Select text anywhere in the transcript, and the highlight is applied immediately without menu clicks. This matters because in fast environments like meetings or lectures, context menus are too slow.

We just published a comprehensive guide on why delayed captions work for language learning, backed by Second Language Acquisition research.

The core problem: When subtitles appear simultaneously with audio, your brain takes a shortcut. It reads instead of listens. Eye-tracking research shows viewers spend 68-84% of their viewing time looking at subtitles, not the video content. Your ears become secondary input.

The solution: Delay captions by 1-1.5 seconds. This timing is optimal because it's long enough to force genuine listening and hypothesis formation, but short enough to maintain comprehension flow.

When you watch with delayed captions, your brain must:

Learning Languages Through Native Content

According to research from the FSI (Foreign Service Institute), it takes 600 to 2,200 hours to achieve fluency in a new language. However, traditional learning methods often leave learners feeling bored and unmotivated.

FluentCap offers a different approach: immersion learning - surrounding yourself with the language through content you genuinely enjoy.

How It Works

The problem I wanted to solve:

I work remotely with international teams. I found myself constantly missing context because people spoke too fast or had unfamiliar accents.

Existing caption apps? Most only work inside specific apps (Zoom, Teams) or browser tabs. I couldn't use them to watch back meeting recordings, foreign films, or FaceTime calls.

What I built: