Auto-Subtitling Tool with Speaker-Labeled Captions for Podcast Video Clips
Podcast video clips are growing fast on YouTube, TikTok, and Instagram. Creators need subtitles with speaker labels, but auto-captioning tools (CapCut, Descript) do not differentiate between speakers or match brand styles. The opportunity is auto-subtitling with speaker-labeled captions for multi-speaker podcast clips.
Problem Statement
A podcast editor creates 10 video clips per episode for social distribution. Each clip features 2-3 speakers. CapCut auto-generates captions, but all speakers appear as one block of text — viewers cannot tell who is speaking. The editor manually adds speaker labels ('Joe Rogan:' and 'Guest:') to each caption segment, which takes 15-20 minutes per clip. Then they color-code each speaker's text (host in white, guest in yellow), adding another 10 minutes. Across 10 clips per episode, that's 4-5 hours of manual subtitling per episode release.
The Idea
An auto-subtitling tool for podcast video clips that detects multiple speakers, labels each speaker's captions with their name and brand color, and exports clips formatted for TikTok, YouTube Shorts, and Instagram Reels.
Why Now
Podcast video clips became a primary distribution channel for podcast growth in 2025-2026. YouTube Shorts added podcast-specific features. CapCut added auto-captions but cannot differentiate between speakers in multi-person conversations.
Target User
Podcast editors and video clip producers who create 5-20 short-form clips per podcast episode
Target Market
Podcast video editing and social media clip production tools
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