Timestamps and speakers
Output arrives segmented by speaker with timings attached, which is what makes it usable for subtitles rather than just readable.
Live demo
AI Speech-to-Text Demo
Turn a recording into a timestamped, speaker-separated transcript you can edit in place — and then translate, subtitle, or repurpose without leaving it.
Free to start · 75+ languages · No credit card required
Looking for the full capability list? Read about Transcription.
In this demo
What you'll see
Corrections that stick
Fix a name or a term in the transcript itself; everything downstream reads the corrected version.
One step from translation
The transcript is the input the translation, subtitle, and dubbing stages already expect — no export round trip.
How it runs
Transcription, end to end
The same sequence in the demo and in your own account — every stage on one platform, nothing exported between steps.
- 01
Upload media
Provide a video or audio file, or a URL.
- 02
Transcribe
A timestamped, speaker-separated transcript is generated.
- 03
Correct
Fix names and terminology in the editor. Corrections flow downstream.
- 04
Reuse
Export, or push into translation, subtitles, or a full dub.
Who runs this
Teams using Transcription
Content repurposing
Turn a webinar into a blog post, a clip set, and a subtitle track.
Research and interviews
Get searchable, speaker-attributed records of every conversation.
Compliance records
Keep an accurate written record of recorded sessions.
Subtitle pipelines
Start every subtitle job from a clean, corrected transcript.
Run Transcription on your own files.
A demo tells you what it does. Your own footage tells you whether it works for you — and that takes an account, not a sales call.