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Audiomatic – dubbed translations for videos preserving voice and tone

Hacker News

Audiomatic – dubbed translations for videos preserving voice and tone

Hey, I’m Lynn. My friends and I spent this summer building Audiomatic, an automated video dubbed translation service. You can try it out free on our website (no credit card, but you’ll need a verified email). Audiomatic preserves the original voice and tone when translating. We can translate videos from nearly any language, into videos using seven common languages: English, French, Spanish, German, Portuguese, Mandarin Chinese, and Japanese. We support videos with multiple speakers, and generate captions for translated videos. Optionally, you can upload your own captions file to use (either in the original language, or in the language you’re translating to), and you can also choose to remove background noise.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: email, using · Missing: mac, agents, macos
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto
9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

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