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SubtitleGenerator
From video to publish-ready AI subtitles—all in one browser
114 followers
From video to publish-ready AI subtitles—all in one browser
114 followers
Free: 60 one-minute videos a month, no signup. Drop in a video and generate, fix, translate, style and export subtitles in one editor. All 30 styles are included free. Most tools leave you hunting line by line—Fix flags uncertain words and counts down to “All clear,” a real finish line. Pro and Max add full-track translation, HD without a watermark, eight subtitle formats, custom fonts and saved brand styles. Your video stays in your browser.
TimedSubs
Hey Product Hunt — I built SubtitleGenerator to take a video from AI transcription to final export without bouncing between tools.
In one browser editor, you can fix text and timing, choose from 30 styles, translate a full track while keeping the original, and export video or subtitle files. The part I designed differently is Fix: uncertain source words are flagged, the remaining review count stays visible, and the transcript has a real finish line—“All clear.”
You can try it on one video without signing up. The Free workflow includes all 30 styles and 720p export with a small watermark. Pro and Max add high-accuracy transcription, full-track translation, HD without a watermark, eight subtitle formats, custom fonts, and saved brand styles. PAYG is there if you need more subtitle time but do not want another subscription.
Your original video stays in the browser. Only extracted audio is sent for transcription, and that audio is deleted after transcription is complete.
What still slows you down most after an AI transcript is generated? I’ll be here throughout launch day and would love blunt feedback on the Fix flow.
@woshiliyana Great Launch Yan!
Was the audio-only-upload thing a privacy ask from users, or just how you'd build it anyway?
TimedSubs
@yashekbote Thanks, Yash! A bit of both. Keeping the original video in the browser reduces the privacy concern and avoids a large video upload. Transcription only needs the audio, so sending the smaller extracted track felt like the better default. I also delete it after transcription is complete.
the honest answer for me is speaker labeling when two people talk over each other or overlap slightly. the transcript reads fine as text but figuring out which line belongs to who post-transcript, especially in an interview or podcast clip, always ends up as manual work after the "AI part" is technically done. is that on your radar at all or is this more aimed at single-speaker content like tutorials/voiceovers for now
TimedSubs
@galdayan It’s definitely on my radar. In an early two-speaker test, all four speaker turns were identified correctly, with confidence scores between 0.94 and 1.00, so the results look promising. Speaker labels and manual corrections are planned for v2. Overlapping speech is the harder case, and I want to test it on real interviews and podcasts before making any promises. Thanks for bringing this up!