MP3 to Text

MP3 to Text is a focused transcription utility: you upload an audio or video file, the service runs AI speech recognition on it, and you get back a clean, editable transcript. It is deliberately friction-light. There is no software to install and no project setup — drag a file into the browser, press Transcribe, and read the result in minutes rather than typing it out by hand. The tool accepts MP3 along with WAV, M4A, FLAC, AAC, OGG, Opus, WebM, AMR, WMA, and common video containers like MP4, MOV, AVI, and MKV, so you are not limited to a single codec.

The feature set is aimed at people who process recorded speech regularly. Speaker recognition automatically detects and labels who said what, which is what makes transcripts of interviews, panels, and multi-person meetings actually usable. Batch upload lets you queue several files at once, and exports come in TXT, DOCX, SRT, VTT, PDF, CSV, or Markdown with optional timestamps — so the same recording can serve as meeting notes, show notes, or a subtitle track. An AI summary option condenses long recordings for quick review.

The typical users are podcasters turning episodes into show notes and chapter timestamps, journalists transcribing interviews under deadline, researchers working through lecture or interview recordings, educators captioning classes and webinars, and teams who want searchable records of client calls and meetings. Pricing is subscription-based with a free entry point: new accounts get 60 minutes of transcription, and paid annual plans scale from roughly five hours to fifty hours of audio per month, each supporting files up to 10 hours long and 5 GB in size.