SubEasy.ai

AppSumo

SubEasy.ai has been praised for its exceptional accuracy in multilingual transcriptions and captions, as well as its user-friendly interface and generous AI tools. However, some users have reported issues with video export and occasional pacing problems. With an overall rating of 4.8 on Trustpilot and a 60-day money-back guarantee, it remains a solid choice for those seeking professional transcriptions and captions.

Visit product View on AppSumoAug 24, 2026

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Actual performance

53reviews

Made the leaderboard

Traction signals

Rating4.6 / 5

Purchases148

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: friendly, occasional, interface · Missing: plus, platform, intuitive

76%76% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: video, users · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos

48%48% predicted probability of success on Product Hunt, 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

19%19% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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