One subtitle format, any source audio
The upload box accepts common audio and video files, and FastScribe reads the sound from all of them. That means you can caption a podcast MP3, a recorded call in M4A, or a lecture WAV using the same workflow and get the same clean SRT out.
Whichever source you send, the system transcribes the speech and slices it into subtitle cues with start and end times. You do not need to match formats or convert anything beforehand, and video files have their audio track extracted automatically.
Getting captions ready to publish
Captions widen your audience, help viewers in noisy or silent settings, and improve how search engines understand your content. An accurate SRT is the fastest route to all three because it drops straight into editors and hosting platforms.
After the SRT lands, skim it once for names or jargon our transcription engine may have misheard, then upload it with your video. If you would rather have web-native captions, export VTT, or grab TXT for a plain transcript with no timing.
Frequently asked questions
Which audio formats can I turn into an SRT?
FastScribe reads common audio and video files including MP3, M4A, WAV, MP4 and MOV, and extracts the audio from video automatically, so almost anything you record can become a subtitle file.
Do I need timestamps for subtitles to work?
Yes, and they are included automatically. An SRT depends on start and end times for each caption, and FastScribe builds those from the transcript so the file is ready to use.
Can I caption a whole podcast episode in one go?
A free account handles files up to thirty minutes, and Pro extends that to five hours per file, which comfortably covers a full-length episode from a single upload.