Turn a recording into a timestamped transcript: every line carries an HH:MM:SS time code so you can jump straight to that moment in the audio. Upload audio or video, export SRT, VTT or TXT.
Manual translation, hired voice actors, days of waiting. Creators and teams lose time and money on every single video.
Skip the old workflowI have a transcript but I cannot find the moment a topic came up without scrubbing through the whole recording.
My subtitles line up wrong because the text was pasted in without any timing.
I need to quote a source and say exactly where in the audio it was said.
Upload, pick languages, and let the AI handle the rest. No software to install.
A few clicks, that is all.
A few clicks, that is all.
A few clicks, that is all.
A few clicks, that is all.
A transcript tells you what was said; a timestamped transcript tells you when. Time-coded transcription is the same text with a start time on every line, and that single addition is what makes a transcript usable for anything other than reading: it lets you jump to a moment instead of scrolling through an hour of audio to find it, it lets the same sentences become subtitles without re-timing them by hand, it lets you cite an interview by minute, and it lets a colleague check a quote against the original in seconds. You upload the recording — a podcast, an interview, a lecture, a meeting, a voice note, a screen recording — pick the language, and get back a transcript where every spoken segment is anchored to a time code. From there you can export SRT or VTT, which carry exactly those time codes in the format a video editor expects, export TXT if you only need the words, or keep going and translate the transcript into 30+ languages. The timing comes from the audio itself, so a two-hour file does not need to be played back to be timed. Costs 1 credit per minute of audio, with 20 free credits at sign-up and a daily free allowance; failed tasks are not charged.
Time codes come from the recording, not from someone re-listening and guessing. Each spoken segment gets its own start time in HH:MM:SS, so the transcript and the audio refer to the same clock.
SRT and VTT carry the time codes in the format editing tools expect, so the transcript can go back onto the video as subtitles. TXT is for when you only need the words.
A timestamped transcript can be translated into 30+ languages, which is what you want for subtitles in another language: the translated lines still know when to appear.
It is a transcript in which each spoken segment is preceded by its start time, usually in HH:MM:SS form. The words are the same as in a plain transcript; the difference is that every line points to a position in the audio, so the text can be navigated, cited and aligned instead of just read.
The same thing under a different name. Time coding means attaching time information to each segment of the text while it is being produced. Because the timing is taken from the recording itself, you do not have to listen again to place the marks — and if the file is exported as SRT or VTT, those marks are already in subtitle format.
Upload the audio or video file, choose the spoken language, and run it. The result is a transcript with time codes on every line, exportable as SRT, VTT or TXT. There is nothing to set up beforehand and the original file is not modified.
They are line-level: each spoken segment (a phrase or sentence) carries a start time, which is what subtitles and citations need. Word-by-word timing is not offered, and for subtitling it is usually not desirable anyway — a subtitle that appears word by word is hard to read.
Audio and video files of the usual kinds — MP3, M4A, WAV, MP4, MOV and similar. Only the audio track is transcribed, so a low-resolution video is fine, and a separate audio file is even better if you have one.
Transcription costs 1 credit per minute of audio, sign-up includes 20 free credits plus a daily free allowance, and failed tasks are never charged. You can run a short file for free to see the format, then decide whether to buy credits for longer recordings.
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