This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Wave Subs
Generate translated subtitles for any video, fully offline
Can't find subtitles? Drop in a video: local AI recognizes the dialogue, fixes the timing, and translates it into your language (29 languages). SRT/ASS export, batch a whole season, editor with video preview. No upload, no account, free & open source.
I made Wave Subs after one too many nights searching subtitle sites for a show that simply had none in my language.
It runs entirely on your computer: whisper.cpp for recognition, a local Qwen3 model for translation, a bundled ffmpeg so even HEVC/DTS files preview fine. Drop in a whole season, get SRT/ASS files next to each episode, and fix anything in the built-in editor — click a line to hear exactly how it was said.
No upload, no account, no subscription. MIT licensed.
I'd love to hear which languages and video types you throw at it — the timing refinement was tuned on films, so anime and talk-heavy shows are where I most want feedback. Thanks for checking it out!
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About Wave Subs on Product Hunt
“Generate translated subtitles for any video, fully offline”
Wave Subs was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #106 on the daily leaderboard. Can't find subtitles? Drop in a video: local AI recognizes the dialogue, fixes the timing, and translates it into your language (29 languages). SRT/ASS export, batch a whole season, editor with video preview. No upload, no account, free & open source.
Wave Subs was featured in Open Source (68.8k followers), Artificial Intelligence (477.9k followers), GitHub (41.4k followers) and Video (2k followers) on Product Hunt. Together, these topics include over 168.1k products, making this a competitive space to launch in.
Who hunted Wave Subs?
Wave Subs was hunted by Jiesi Ma. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Jiesi Ma