EchoTexter, telegram bot that transcribes voice notes

Hacker News

Hello everyone! I'm excited to introduce EchoTexter, a Telegram bot that transcribes voice messages and audio files into text. Unlike Telegram Premium, which is limited to in-app messages, EchoTexter works on any audiofie, which means it can transcribe voice notes from whatsapp and other apps. How it works: Forward/share any voice message to EchoTexter. Receive a text transcription. And that's it! I created this bot out of my own frustration with voice notes, in short, I hate them so much I'd often skip listening to them, missing out on conversations. Languages/Accents Supported: US English, Global English, British English, Australian English. Hindi, German, Dutch, French, Italian, Spanish, Portuguese. I’m currently offering 3 free transcriptions for everyone to try it out. I’d love to hear your thoughts or any feedback you have! Thanks for checking it out!

Visit product View on Hacker NewsDec 28, 2023

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Did not reach leaderboard

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

87%87% 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 · Strong signals: apps · Missing: mobile apps, ios, personal

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

39%39% 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: excited, io · Missing: https docs, just released, exist

31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

23%23% 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, introduce · Missing: web3, chat, crypto

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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