More free subtitle tools
Same quality bar. Still free. Still no upload.
Your files never leave your device
Free to use, with no account, no usage limit and no watermark, because the work runs on your device rather than on our servers.
This is not a promise about how carefully we handle your upload. There is no upload. The file you choose is read into memory by your own browser, processed there, and handed back as a download — the tool has no server component and makes no network request with your data.
- Nothing is stored. We never receive the file, so there is no copy to retain, no retention period to disclose, and nothing to delete on request.
- Nothing is transmitted. No upload endpoint, no analytics payload carrying file contents, no third-party processor.
- You can verify it. Load this page, disconnect from the internet, and use the tool. It still works, because everything it needs is already on your machine.
- Nothing persists after you close the tab. Files are held in page memory only — not in local storage, not in a cache, not in a database.
A note on wording, because it matters: we do not describe these tools as “encrypted.” Encryption protects data that travels to somebody else's computer. Your file does not travel, so there is nothing to encrypt and nothing to intercept — which is a stronger guarantee than encryption, not a weaker one. The page itself is served over HTTPS like the rest of the site.
This makes the tools safe for material you are contractually barred from uploading to third-party services — client footage under NDA, unreleased campaign assets, anything covered by a confidentiality clause.
How it works
1. Drop a multi-speaker SRT
Interview or podcast tracks work well.
2. Edit speaker labels
Rename or normalize labels cue by cue.
3. Export the cleaned SRT
Ready for burn-in or players.
Questions
Why does it only recognise ALL-CAPS labels?
Because that's the one pattern that reliably doesn't collide with ordinary dialogue. 'JOHN: get down!' is unambiguous; 'He said: get down!' has exactly the same shape as a label and isn't one, and there is no reliable way to tell those apart from text alone. All-caps-before-a-colon is also the convention real transcripts converge on, specifically because it avoids that ambiguity.
Can it tell me who is actually speaking in each cue?
No. that needs diarization, which is a model, not a text parser. Add applies the same chosen label to every cue that lacks one, which is genuinely useful for a single-narrator file or as a scaffold you then rename section by section; it is not a substitute for identifying speakers from the audio.
What do Strip, Rename and Add do?
Strip removes the leading NAME: label from every cue. Rename swaps one detected label for another across the whole file, chosen from the labels it found. Add puts your label on every cue that does not have one yet. The download keeps your file's format, SRT or VTT.
Related tools
Stay in the same job cluster. Free tools stay on-device; paid tools are labelled as such.
These rearrange files. Versely makes new ones.
Everything on this page works on a file you already have, which is why it costs nothing. Generating something that did not exist (video from a prompt, a voice, a score) runs a model, and that costs credits.