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M4A → Text

Convert M4A to Text.

Transcribe an M4A recording (iPhone voice memos, meetings) into clean, accurate text with open-source Whisper AI.

No signupPrivate — deleted after 1 hourFree to try

Turning a voice memo into text

M4A is what iPhone Voice Memos and a lot of recorders produce, which makes this a common way to get a meeting, interview or quick note into writing. Your file is transcribed with Whisper, the open-source speech model, running on our own servers rather than a third-party API — voice activity detection trims silence so the output stays clean.

What it's best for

Single-speaker recordings — a memo, dictation, a lecture — transcribe cleanly, and a clear recording with minimal background noise always reads better than a long, echoey room.

More than one voice?

To label who said what, use Audio to text and the TranscriptAI workspace, which add speaker diarization and timestamps — then you can summarize it, pull action items or build notes from the transcript.

How it works

  1. 01

    Upload your M4A

    Drop a file or pick one from your device. Private by default.

  2. 02

    Transcribe with Whisper

    faster-whisper (small model + voice activity detection) produces an accurate transcript — no paid API in the loop.

  3. 03

    Open in TranscriptAI

    Grab your Text, or open it in TranscriptAI for notes, summaries, flashcards and action items.

Accurate Whisper AI transcription

Voice activity detection for clean output

Private uploads, auto-deleted after 1 hour

No watermark, no signup to try

Free and open-source engine (Whisper)

Unlock notes & summaries in TranscriptAI

Next step

Your file is ready. Want to do more with it?

Open this file in TranscriptAI to generate a transcript, summary, structured notes, flashcards, quiz questions or action items — automatically.

TranscriptSummaryNotesFlashcardsQuizAction items
Open in TranscriptAI

Common questions

Is it free?+

Yes — convert M4A to Text free. No signup, no watermark, no daily cap.

Is my recording private?+

Uploads go to a private bucket, are transcribed, and auto-delete after 1 hour. Files never touch a third-party API.

How accurate is it?+

We use Whisper's small model with voice activity detection — strong accuracy across accents, and clean handling of pauses and silence.