Generate SRT & VTT subtitles from video or audio

Why you need subtitle files, not just a transcript

Subtitles make videos accessible to deaf and hard-of-hearing viewers, help people who watch with the sound off, and give search engines text to index. Timing captions by hand is slow, which is why many course videos, interviews and internal recordings never get them.

This workflow is for creators, course authors, researchers who film interviews, and teams that publish internal videos. It suits anyone who wants a first subtitle file generated automatically, so the work that remains is review rather than typing.

What's inside Noteo's SRT and VTT files

Both exports are built from the same timestamped transcript. Each transcript paragraph becomes one subtitle cue.

• SRT: numbered cues with HH:MM:SS,mmm timestamps, the format most video editors and platforms accept.
• VTT: a WEBVTT header and HH:MM:SS.mmm timestamps, the format used by HTML5 video players.
• Cloud mode: one cue per speaker turn, prefixed with the speaker label.
• Local mode: cues cover roughly 30-second stretches of speech, without speaker names.
• Each cue ends when the next one starts; the last cue lasts three seconds.

Worked example: an interview video to SRT subtitles in your editor

You filmed a 20-minute interview as an MP4 and want captions in your edit. Add the MP4 to Noteo in Cloud mode so each speaker turn is labelled, or in Local mode if the footage must stay on your computer. When the transcript is ready, check it against the audio (click any paragraph to jump to that moment), then choose "Download .srt".

Import the SRT into your video editor's caption or subtitle track. Because each cue covers a full speaker turn or paragraph, split long cues into shorter lines and fix any misheard names before exporting your final video. For a web page, use the .vtt file with the HTML5 track element instead.

Local vs Cloud subtitles

Local mode runs whisper.cpp inside the Noteo desktop app, so unreleased footage, client material and internal videos never leave your machine. Accuracy and speed depend on the model you pick and your hardware. Cloud mode uploads the file, detects the language automatically and labels speakers, which helps with interviews and panels; it counts against your plan minutes.

How Noteo compares with other subtitle options

Platform auto-captions are quick, but they belong to that one platform and are not built for reuse elsewhere. Captioning features inside video editors vary a lot from one editor to another. Running whisper.cpp yourself can output SRT or VTT directly with shorter segments. If you only need tightly timed captions and are comfortable with a terminal, that can fit better.

Noteo is most useful when you want subtitles and a searchable transcript from the same recording: one upload gives you SRT, VTT, TXT, JSON and Markdown, plus a player synced to the text.

Honest limitations

Noteo does not apply caption rules such as maximum characters per line or a two-line limit, and it does not burn subtitles into the video. Subtitles are produced in the spoken language; translated subtitle tracks are not generated. Expect to review and re-split cues before publishing to a platform with strict caption guidelines.