Convert M4A to Text

Upload your m4a file and get an accurate transcript in seconds. 100+ languages, speaker detection, timestamps included.

Works with publicly available audio & video. DRM-protected content is not supported.

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MP3, WAV, M4A, FLAC, MP4, MKV, MOV, WebM — up to 2GB
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Real-time speech to text. AI auto-corrects as you speak — accuracy improves with longer speech.

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About M4A

M4A is the default audio format for Apple devices and iTunes. STT.ai natively supports M4A files from iPhone voice memos and other Apple sources.

Export Transcripts As

.TXT
Plain Text
.SRT
Subtitles
.VTT
WebVTT
.DOCX
Word Doc
.JSON
Structured
.PDF
Document

Frequently Asked Questions

Upload your M4A audio file (.m4a) 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 M4A transcription. No signup required for your first file. Paid plans starting at $5/month unlock longer files, more minutes, and private transcripts.

M4A 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 M4A 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. M4A 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 M4A. Each speaker is labeled (Speaker 1, Speaker 2, ...) and you can rename them in the editor afterwards.

M4A 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. M4A 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 M4A files directly via the /v1/transcribe endpoint. Python and Node.js SDKs include M4A examples. Free tier includes 100 minutes/month of API usage.

Yes. After transcribing a M4A 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 M4A content drives ongoing client work.

STT.ai supports URL uploads from 1,300+ platforms (YouTube, Vimeo, SoundCloud, podcast hosts, etc.). If the source returns M4A or anything convertible to M4A, we can transcribe it. DRM-protected sources cannot be transcribed; for those, download manually and upload the M4A file directly.