RapidTranscribe – Fast, low-cost AI transcription for non-techs

Hacker News

Hello, HN! I'm Mike, the creator of RapidTranscribe, an AI-powered transcription service designed to make transcription fast and affordable. With RapidTranscribe, you can transcribe over 500 hours of audio and video per month for just $15, with no hidden fees. Why RapidTranscribe is a game-changer - Speed and Cost: Our advanced GPU infrastructure converts content into text within minutes. Enjoy unlimited usage for only $15/month. - Features: Supports 100+ languages and accents, direct transcription from YouTube or local files, smart multi-speaker recognition, and manual editing tools. Works across all devices and supports formats like Plain Text, Word, SRT, and more. - Ease of Use: Designed to reduce costs and increase speed for large transcription volumes, RapidTranscribe is user-friendly, even for non-tech users. Who can benefit: - Entrepreneurs: Turn meetings into actionable text. - Journalists and Podcasters: Quickly transcribe interviews. - Students: Create review materials from lectures. - Professionals: Accurate records for medical and legal documents. - Content Creators: Add subtitles and transcripts to videos. Personal Experience As a frequent user, I find RapidTranscribe invaluable for quickly processing scientific lectures and conference recordings. What features or improvements would you like to see in a transcription service?

Visit product View on Hacker NewsJul 30, 2024

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

96%96% 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.

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

70%70% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, recordings, plain · Missing: mac, agents, macos

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

42%42% 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

14%14% 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, smart · 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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