MP3 to Text

MP3 to Text is a web-based AI transcription tool that converts MP3 and other audio/video files into accurate text with 99.9% accuracy. It's built for podcasters, researchers, journalists, educators, and students who need fast, reliable transcripts without complex setup. The tool supports 90+ languages and regional dialects, handles accents and background noise, and automatically detects and labels multiple speakers — perfect for interviews, meetings, and lectures. Upload files up to 5 GB or 10 hours per file via drag-and-drop. The AI processes audio in minutes, and you can export transcripts to TXT, DOCX, SRT, VTT, Markdown, CSV, or PDF with optional timestamps and speaker labels. Batch processing lets you upload multiple files at once — each transcript appears as soon as it's done. Paid plans add AI summary generation (condenses long transcripts into key points), unlimited storage, and priority email support. Pricing is straightforward: a free tier gives 60 minutes of transcription after signup, then Basic ($36/year for 5 hours/month), Pro ($60/year for 10 hours/month — the most popular), and Ultimate ($240/year for 50 hours/month). All paid plans support bulk transcription, unlimited storage, and priority support. There's no monthly billing option — annual only — but you can buy one-time packs to top up. Compared to Otter.ai or Rev, MP3 to Text is strictly web-only with no mobile app, API, or real-time transcription. Its file size ceiling (5 GB, 10-hour files) is generous, and the annual pricing undercuts most rivals for moderate-volume users. It's a solid choice for individuals or small teams who batch-transcribe weekly audio and want predictable costs without locking into a subscription that renews monthly.