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Transcribe M4A File

Turn any .m4a voice memo into clean text with word-level timestamps, SRT and VTT subtitles. Auto language detection. CSV or JSON export.

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Transcribe Voice Memo to Text — Speaker Labels & Timestamps
Transcribe Voice Memo to Text — Speaker Labels & Timestampssian.agency/transcribe-voice-memo-to-text
📝 Transcription
✂️ Segments
💬 SRT Subtitles
💬 VTT Subtitles
+8 fields
Text
Number
Boolean
List
Object

Input

🔗 Voice Memo URLs (optional):https://raw.githubusercontent.com/rara-cyber/podcast-test-file/main/KchSfOdwCJE-56eb7ccd6dc030fa3cc280ab26925c4e234.opus
🗣️ Language (Optional):auto

Output fields

📝 Transcription
✂️ Segments
💬 SRT Subtitles
💬 VTT Subtitles
🗣️ Language
⏱️ Duration (s)
📦 File Size (MB)
Speakers
🗣️ Languages
✅ Success
Processed
🔎 Source

How it works

Sign up on Apify or log in

The Transcribe Voice Memo to Text — Speaker Labels & Timestamps Actor is ready to run with the inputs already set for "Transcribe M4A File". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Transcribe M4A File" task

The Transcribe Voice Memo to Text — Speaker Labels & Timestamps Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 voice memo urls (optional) and 🗣️ language (optional), to match your specific use case.

Receive the "Transcribe M4A File" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as 📝 transcription, ✂️ segments, 💬 srt subtitles, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Transcribe M4A File" task via API.

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Integrate "Transcribe M4A File" into your workflow

Connect "Transcribe M4A File" with 100+ integrations, or run it via API or MCP.

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