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Captioned Audiograms from an RSS Feed

Auto-Create Captioned Audiograms from Your Podcast RSS Feed

CATEGORYFor Podcasters
INPUTSVideo / audio from upstream
OUTPUTSVideo / audio to downstream

What This Workflow Does

What it automates: Monitors your RSS feed, generates an audiogram video for each new episode, burns in auto-generated captions, and posts to social — automatically.

Who it's for: Podcasters who want to maximize reach and accessibility with captioned content on TikTok, Instagram, LinkedIn, and YouTube.

When to use it: Every time a new episode drops — especially for content-rich, spoken-word shows where key quotes drive social engagement.

How It Works

Step 1: RSS Feed — New Episode Detected

Overlap monitors your podcast RSS feed and starts the workflow for every new episode. Compatible with all major podcast platforms and custom RSS feeds.

Step 2: Add Audiogram — Converts Episode to Waveform Video

Audio is transformed into a visual audiogram video. Configure orientation (horizontal or vertical), waveform color, waveform position, and background style.

Step 3: Add Subtitles — Captions Burned Into the Video

The spoken content from your episode is transcribed and captions are generated automatically. Control:

  • Caption position (Y axis)
  • Font size and style
  • Max characters per line
  • Lines visible at once
  • Caption style preset

Captions are burned directly into the video so they display on every platform — even when autoplay is muted.

Step 4: Post to Social — Published Automatically

Captioned audiograms are delivered to your connected social accounts.

Who Is This For?

Podcasters targeting TikTok and Instagram: Captioned content consistently outperforms uncaptioned content in watch time and shares on fast-scroll feeds. This workflow gives you the best-performing format automatically.

Shows focused on quotable content: Q&A shows, expert interviews, and educational podcasts generate highly shareable quoted moments — this workflow surfaces them with readable captions.

FAQs

Will the captions match what's actually said?

Yes. Captions are generated from the episode's audio transcription — they reflect the actual spoken content.

Can I customize the caption style to match my podcast branding?

Yes. Font, size, color, position, and style preset are all configurable in the Add Subtitles node.

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