Transcribe a Video to Text

A transcript only needs the sound, so that is all this tool reads. For an upload, your browser separates the audio track from the picture and sends just that, which is why a large phone video still comes back in well under a minute. For a link, the audio is fetched from the platform. Either way the speech goes to a speech-to-text model that returns the words with punctuation and the time each line was spoken.

Those times are what make the other formats honest. Timestamped lines and the SRT file use the moments the model actually heard each line, not an estimate spread across the runtime, so you can jump to a quote or load the subtitles in an editor and find them close to in sync.

The text is only as good as the audio. Speech over loud music, crosstalk and names the model has never heard are where mistakes creep in, so read names and figures against the video before you publish them. For research, notes, captions you will review, or a brief for new content, it is more than good enough, and it takes a minute instead of an hour of typing.

If you already have footage that worked, its transcript is the most useful brief you will ever write: the subject, the angle and the way you talk about it, in your own words. Faceless turns that brief into a series. It writes a new script on the subject every day, voices it, adds visuals and captions, and posts it to YouTube, TikTok or Instagram on your schedule, without you filming anything.

Transcribe a video above, then use Start a series from this transcript under the result. The transcript is carried into the series setup, where you pick the voice, the look and how often it posts.