MP3ToText: Convert MP3 & audio to text with high-accuracy AI

Convert MP3 to text online for free. Transcribe MP3 recordings with AI-powered transcription, speaker labels, summaries, and downloadable transcripts.

Hi Product Hunt community! 👋

I’m the maker of MP3toText.io. As someone who regularly deals with audio and media, I noticed how frustrating and time-consuming it can be to get highly accurate transcriptions without wading through overly complex interfaces or expensive, rigid monthly subscriptions.

That’s why I built MP3toText.io — a fast, streamlined, and high-accuracy AI transcription and translation tool designed to convert your audio and video files into text in seconds.

Key Features:
🚀 High Accuracy: Powered by advanced AI models to capture every word, even with background noise.
🌍 Multi-language Support: Easily transcribe and translate across multiple languages.
💰 Flexible Pricing: No predatory monthly subscriptions. We offer straight-forward, pay-as-you-go credit packages so you only pay for what you actually use.

Whether you are a podcaster, researcher, content creator, or professional, I’d love for you to give it a try!

I’ll be here all day to answer your questions, listen to your feedback, and feature requests. What do you think? Let me know in the comments! 👇

how well does it handle multiple speakers overlapping or background noise, and is there a free tier or do you pay per minute of audio?

Pulled a long interview file in and the speaker labels were already pretty solid on the first pass, which saved me a bunch of cleanup. The summary at the end was a nice touch too.

How accurate is the transcription when the audio has background noise or multiple people talking over each other?

Love how clean the interface is — just drag, drop, and the transcript is ready before you finish your coffee. The speaker labels are surprisingly accurate too.

how well does it handle multiple speakers overlapping or background noise, and is there a free tier or do you pay per minute of audio?

Pulled a long interview file in and the speaker labels were already pretty solid on the first pass, which saved me a bunch of cleanup. The summary at the end was a nice touch too.

How accurate is the transcription when the audio has background noise or multiple people talking over each other?

Love how clean the interface is — just drag, drop, and the transcript is ready before you finish your coffee. The speaker labels are surprisingly accurate too.