Every Word, Timestamped

AI transcription that actually works. Speaker labels, word-level timestamps, and inline editing—your episodes become searchable, quotable, and ready for anything.

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.

1
"I need accurate transcripts for accessibility."

Professional-grade accuracy with speaker labels for clear attribution.

2
"Our episodes have multiple guests talking over each other."

AI handles cross-talk and identifies speakers even in chaotic conversations.

3
"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

AI 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.

Export Options

Your transcripts, your way

Export in the format you need. Plain text for blog posts, SRT for video subtitles, or JSON for custom integrations.

Plain Text.txt

Clean text, no formatting

SRT Subtitles.srt

For video captions

VTT Subtitles.vtt

Web video standard

JSON.json

For developers

95%+

average accuracy
across all episodes

~10 min

per hour of audio

10+

speakers identified

Word-level

timestamp precision

Your archive, transcribed

10 episodes free. See your first transcripts in minutes. No credit card required.