AI Transcribe converts speech to text with unmatched accuracy + smart post-processing. Beyond transcription: create mindmaps, flashcards and chat with your notes. Affordable, student-friendly, and powerful.
Hey PH 👋 I’m Karan, teamed up with Asheel to build AI Transcribe.
We’ve both spent years scaling apps & working in engineering, but always wanted to create our own. Most transcription tools today are either overpriced or don’t go beyond plain text.
Here’s what makes us different:
Higher accuracy thanks to our custom post-processing layer.
More than transcription → instantly turn notes into mindmaps, flashcards, and even chat with them.
Affordable premium → priced way below the big players without cutting value.
Built with students & professionals in mind who need fast, reliable, and smart note-taking.
We’re proud that we managed to launch something powerful yet affordable in such a crowded space 🚀
Would love your feedback & thoughts 🙏
@shreya_r_nambiar Yes! A web version is definitely on our roadmap 🌐. We wanted to nail the mobile experience first, but web + desktop are next so you can seamlessly access transcripts anywhere. Stay tuned, we’ll share updates soon!
@arynvtsa Thanks a lot 🙌 Right now we support 90+ languages for transcription. We’re continuously refining accuracy across them, and English is the most optimized. If you have a specific language in mind, let us know, we’d love to hear what you’d like us to prioritize! :)
This project means a lot to me personally. As a student turned professional, I’ve always struggled with the balance of listening vs. note-taking: you either miss details or miss the moment.
Building this tool has been about solving that for myself first, and now hopefully for many of you.
If you do give it a try, don’t forget to claim the promo code (details in the description!) we set that up just for the PH community as a thank you ❤️
Excited to hear how you’d use it, and any ideas for what we should build next! 😃
@cruise_chen Great question! Accuracy is something we obsess over. We already use Whisper + an extra post-processing layer to refine transcriptions. For domain-specific contexts, we’re exploring ways to fine-tune with custom vocabularies and adaptive models (think medical, legal, academic). The idea is to let users “teach” the app their jargon over time so accuracy keeps improving in their area of work.
Replies
AI Transcribe
CookieYes
Cool! Can we expect a web platform?
AI Transcribe
@shreya_r_nambiar Yes! A web version is definitely on our roadmap 🌐. We wanted to nail the mobile experience first, but web + desktop are next so you can seamlessly access transcripts anywhere. Stay tuned, we’ll share updates soon!
Pocketlink
cool features! how many languages does it support for transcription?
AI Transcribe
@arynvtsa Thanks a lot 🙌 Right now we support 90+ languages for transcription. We’re continuously refining accuracy across them, and English is the most optimized. If you have a specific language in mind, let us know, we’d love to hear what you’d like us to prioritize! :)
AI Transcribe
Thanks so much for checking out AI Transcribe 🫶🏻
This project means a lot to me personally. As a student turned professional, I’ve always struggled with the balance of listening vs. note-taking: you either miss details or miss the moment.
Building this tool has been about solving that for myself first, and now hopefully for many of you.
If you do give it a try, don’t forget to claim the promo code (details in the description!) we set that up just for the PH community as a thank you ❤️
Excited to hear how you’d use it, and any ideas for what we should build next! 😃
Agnes AI
This is truly useful - just one question: how would ensure or improve accuracy for different areas with domain specific knowledge?
AI Transcribe
@cruise_chen Great question! Accuracy is something we obsess over. We already use Whisper + an extra post-processing layer to refine transcriptions. For domain-specific contexts, we’re exploring ways to fine-tune with custom vocabularies and adaptive models (think medical, legal, academic). The idea is to let users “teach” the app their jargon over time so accuracy keeps improving in their area of work.