Transcribe English Podcasts to Text with AI
Convert English podcast episodes to accurate text transcripts. Handles multi-speaker conversations, interviews, and long-form audio up to 4+ hours.
Podcasting has exploded into a major media format with over 4 million active shows, and English-language podcasts dominate the global landscape. Converting lengthy audio episodes into searchable text transcripts is essential for podcast SEO, show notes creation, content repurposing, and accessibility. Transcrify handles the unique demands of podcast transcription: long durations, multiple speakers, varying audio quality, and conversational speech patterns. Unlike short-form video transcription, podcast episodes often run 60-180 minutes with two or more speakers engaged in dynamic conversation. Our AI maintains accuracy across these long sessions without the quality degradation that plagues simpler tools. It handles the natural rhythm of podcast conversation - interruptions, overlapping speech, laughter, and those thoughtful pauses that are part of great interviewing. Podcast producers use these transcripts to create SEO-optimized show notes, pull quotable moments for social media promotion, generate blog posts from episode content, and meet accessibility requirements. The text output transforms an audio-only asset into a multi-format content engine.
Tips for Best Results
- Upload the podcast MP3 or paste the episode URL from platforms like Spotify, Apple Podcasts, or your RSS feed
- For interview-style podcasts, the AI naturally segments text at speaker transitions, making it easier to identify who said what
- Use timestamp output to create detailed show notes with clickable chapter markers for your podcast player
- Transcribe your back catalog to create a searchable text archive that boosts your podcast's SEO presence
- Long episodes (3+ hours) are processed in intelligent segments and stitched together, maintaining context across the full duration