Built for everyone who works with recorded speech
Podcasters
Turn episode audio into full transcripts for show notes, SEO blog posts, chapter markers, and social media clips. One transcription fuels an entire week of content distribution.
Transcribe podcast episodes →Journalists & Reporters
Transcribe source interviews, press conferences, and field recordings accurately. Speaker diarization labels who said what so you can pull quotes quickly and verify before publication.
Journalist transcription →Researchers & Academics
Transcribe qualitative interviews, focus groups, and field recordings with speaker labels and timestamps — ready to import into NVivo, Atlas.ti, MAXQDA, or Dedoose for thematic coding.
Research transcription →Students
Convert recorded lectures, study groups, and professor office hours into searchable, annotatable text notes. Stop rewatching two-hour recordings — jump directly to the timestamp you need.
Transcribe lectures →Content Creators & YouTubers
Generate accurate SRT captions for YouTube, Vimeo, and course platforms. Captions improve watch time, accessibility, and search ranking. The same transcript becomes blog posts and email newsletters.
YouTube transcription →HR Teams
Document recorded job interviews for hiring panels, DEI review, and structured evaluation. Speaker-labeled transcripts make it easy to review candidate responses consistently.
HR interview transcription →Legal Professionals
Transcribe client intake recordings, deposition notes, and hearing audio with accurate timestamps and speaker labels. A 3-hour recording returns in minutes — far faster than manual transcription.
Legal transcription →Medical Professionals
Transcribe patient consultations, medical dictations, and clinical notes with high accuracy. Speaker-labeled transcripts help with documentation and compliance.
Medical transcription →Meeting & Call Recording
Transcribe Zoom, Microsoft Teams, and Google Meet recordings with speaker labels after the call. Get searchable transcripts with every action item captured, without relying on native AI features.
Transcribe meeting recordings →
