Every Word, Timestamped
Transcription that actually works. Speaker labels, word-level timestamps, and inline editing—your episodes become searchable, quotable, and ready for anything.
Today we're diving deep into the science of habit formation.
It's fascinating because most people think willpower is the key...
But your research shows something completely different.
Your audio deserves better than auto-captions
YouTube's auto-captions. Otter's generic transcription. They get you 80% of the way—but that last 20% is where the value lives. Technical terms butchered. Speakers confused. No timestamps worth using. You need professional-grade transcription that actually understands your content.
"I need accurate transcripts for accessibility."
Professional-grade accuracy with speaker labels for clear attribution.
"Our episodes have multiple guests talking over each other."
Handles cross-talk and identifies speakers even in chaotic conversations.
"I want to repurpose transcripts into blog posts."
Clean, formatted transcripts ready for content repurposing.
Transcription that works for you
Powered by AssemblyAI's latest speech recognition models, fine-tuned for podcast conversations.
95%+ Accuracy
State-of-the-art speech recognition handles accents, technical terms, and cross-talk with ease.
Speaker Labels
Automatically identifies who said what. Name your speakers once, recognized everywhere.
Word-Level Timestamps
Every word timestamped. Click any segment to jump straight to that moment.
Inline Editing
Fix errors directly in the transcript. Changes persist and improve search results.
Your transcripts, your way
Export in the format you need. Plain text for blog posts, SRT for video subtitles, or DOCX for editing and collaboration.
Clean text, no formatting
For video captions
Web video standard
Formatted transcript for editing
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across all episodes
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speakers identified
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