Show HN: RapidTranscribe – Fast, low-cost AI transcription for non-techs (rapidtranscribe.com)

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?

2 comments

[ 3.8 ms ] story [ 14.4 ms ] thread

maalber 1y ago ↗

Can you elaborate a bit on the technical details? Do you train you own models or integrate with APIs from e.g. OpenAI? If you train your own models, what kind of challenges did you face regarding low-resource languages (smaller languages). Usually bigger languages like English and Spanish, have good models, but the smaller struggle.

rapidtranscribe 1y ago ↗

In the case of openai api (whisper) there will be no separation of speakers and the price and speed will be much worse. I have been training and am training models for rare languages (but I think I'll stop, since the real demand is very small). Let's count, I say that I can process 500-720 hours of sound per month for 10-15 dollars and not at a loss to myself. Whisper API will take similar money (we don't even count the cost of integration, splitting into batches, lack of speaker separation, crooked language detection) for 50 hours (approximately). As for the rest, I want to say that I have been working in machine learning for 7 or 8 years, graduated from the specialized direction of the Massachusetts Institute of Technology, and I do not know how to answer your questions briefly (I really don’t know, there is no short answer here like try this repository from GitHub, of course I can advise like take insanely fast whisper and it will give a good solution by the standards of the open market, but in reality this is less than 5% of the result and my honest advice is that it is better to just sort through those who offer similar services and buy from them, since they often have much cooler things inside and are not public).