Transcribe podcast episodes to text

Paste an RSS feed, episode URL, or upload a recording. Get a full transcript with speaker labels — ready for show notes, articles, and clips.

From podcast audio to publish-ready text in minutes

A single podcast episode can contain thousands of words of expert insight, buried in an hour of audio that nobody will search, skim, or quote. Vocova transcribes entire episodes with speaker labels, so you can produce show notes, pull quotes, write companion blog posts, and create social clips — all from one transcript. Paste an RSS feed to pick specific episodes, or drop in a direct audio URL.

How it works

1

Paste your RSS feed or episode link

Use an RSS feed URL to browse and select specific episodes, or paste a direct link to an audio file or episode page.

  • RSS feed lets you select any episode from the catalog
  • Direct episode URLs and audio file links work too
  • Upload recordings for self-hosted or private podcasts
2

AI transcribes with speaker diarization

Vocova processes the full episode, identifying individual speakers and labeling each segment — whether it's a solo host, two-person interview, or multi-guest panel.

  • Handles solo, interview, and panel formats
  • Labels each speaker throughout the episode
  • Timestamps every segment for reference
3

Export show notes, transcripts, or subtitles

Download the full transcript, copy sections for show notes, or export subtitle files for your video podcast versions.

  • Export as TXT, SRT, VTT, DOCX, or PDF
  • Copy selected sections for show notes
  • Full timestamps for audiogram and clip creation

Features

RSS feed episode selection

Paste your podcast's RSS feed URL and browse the full episode catalog. Select any episode to transcribe without hunting for direct audio links.

Multi-speaker diarization

Solo monologues, two-person interviews, and 5-person panel discussions are all handled. Each speaker is detected and labeled throughout the transcript.

Ad segment awareness

Dynamically inserted ads appear in podcast audio and will be included in the transcript. You'll see them as clearly separate speaker segments, making them easy to identify and skip past.

Long-form episode support

Podcast episodes routinely run 1–3 hours. Vocova handles full-length episodes without truncation, maintaining accuracy across the entire duration.

Show notes as primary output

The timestamped, speaker-labeled transcript is ready to be edited into show notes. Copy key segments, pull quotes, and create episode summaries directly from the text.

Why choose Vocova

Produce show notes in minutes, not hours

Stop listening to the entire episode again to write show notes. Search the transcript for key moments, copy the relevant quotes, and publish.

Repurpose episodes into written content

One 60-minute interview contains enough material for multiple blog posts, social threads, and newsletter editions. The transcript is your content mine.

Make episodes searchable and discoverable

Podcast audio is invisible to search engines. Publish transcripts alongside episodes so listeners can find your show through Google.

Create audiogram clips with precision

Timestamps in the transcript let you identify the exact moments worth clipping, so you can create audiograms and social clips without scrubbing through audio.

Who can benefit

Podcast producers

Generate full transcripts and show notes for every episode without manual transcription or expensive services.

Content marketers

Repurpose podcast interviews into blog posts, social media content, and email newsletters by extracting key quotes from transcripts.

Journalists

Transcribe investigative podcast episodes and expert interviews for accurate quoting and fact-checking.

Researchers

Convert recorded interviews and oral history podcasts into searchable text for qualitative analysis and citation.

Frequently asked questions

Start transcribing for free

Upload a file or paste a link from YouTube, TikTok, and 1,000+ platforms — get an accurate transcript in minutes. No credit card required.

Free podcast transcription tool — Vocova