A minimal, no-signup, free text-to-speech tool

Hacker News

Hi HN, I made a simple web tool called SonicFlow ( https://voice.clevermock.com ) for converting text to an MP3. I've used other TTS tools, but was looking for something with zero friction - no sign-up, no feature-gating, no complicated SSML tags to learn. Just a text box and a download button. So I built it. It's a clean front-end that pipes text to a TTS model and serves the audio file directly. Useful for quickly listening to articles, comments, or maybe generating placeholder audio for a project. It's free. Hope it's useful. Feedback is welcome.

Visit product View on Hacker NewsFeb 26, 2026

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2points

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

62%62% 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.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

47%47% 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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: pipe, io · Missing: https docs, excited, just released

34%34% 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

20%20% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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