Convert MP3 to Text
Upload your mp3 file and get an accurate transcript in seconds. 100+ languages, speaker detection, timestamps included.
About MP3
MP3 is the most widely used audio format. Compressed lossy format ideal for music and spoken word. STT.ai accepts MP3 files of any bitrate and sample rate.
Export Transcripts As
.TXT
Plain Text
.SRT
Subtitles
.VTT
WebVTT
.DOCX
Word Doc
.JSON
Structured
.PDF
Document
Frequently Asked Questions
Upload your MP3 audio file (.mp3) to STT.ai or record live. Select your preferred AI model and click Transcribe — most files complete in under 5 minutes. Output formats include TXT, SRT, VTT, DOCX, JSON, and PDF.
Yes. STT.ai gives every visitor 600 free minutes/month for MP3 transcription. No signup required for your first file. Paid plans starting at $5/month unlock longer files, more minutes, and private transcripts.
MP3 is a lossy compressed format, so very-low-bitrate files (under 64 kbps) can cost a few percentage points of accuracy compared to lossless WAV or FLAC. At 128 kbps or higher, the difference is negligible and our best models reach 93-95% accuracy.
For most MP3 files, STT.ai Enhanced or Whisper Large V3 give the best accuracy. NVIDIA Canary is faster with comparable quality on shorter clips. You can compare results from multiple models on the same file in the compare-stt tool.
Yes. MP3 audio transcription supports 100+ languages. Auto-detection works for most clips, or you can specify the source language manually for a small accuracy lift.
Yes. Speaker diarization works on every supported format including MP3. Each speaker is labeled (Speaker 1, Speaker 2, ...) and you can rename them in the editor afterwards.
MP3 audio files up to 2 GB are supported. Free users get up to 1 hour per file; paid plans extend that to 8+ hours, which covers most long-form podcasts and lectures.
Yes. MP3 files are processed and deleted by default. Pro plans add client-side encryption — even if our database is breached, your transcripts are unreadable without your key. Data is never used for model training without explicit opt-in.
Yes. The REST API accepts MP3 files directly via the /v1/transcribe endpoint. Python and Node.js SDKs include MP3 examples. Free tier includes 100 minutes/month of API usage.
Yes. After transcribing a MP3 file you can export the result as SRT or VTT subtitles — useful if you plan to pair the audio with video later, or for accessibility on audio-only podcast pages.
Yes. Every transcript opens in our built-in editor where you can correct words, rename speakers, adjust timestamps, and add notes. Edits persist across exports.
Each transcript gets a unique shareable URL. Export to DOCX or PDF for email, or share the link directly. Pro plans add password-protection and permanent links — useful if your MP3 content drives ongoing client work.
STT.ai supports URL uploads from 1,300+ platforms (YouTube, Vimeo, SoundCloud, podcast hosts, etc.). If the source returns MP3 or anything convertible to MP3, we can transcribe it. DRM-protected sources cannot be transcribed; for those, download manually and upload the MP3 file directly.