Transcribe Audio to Text Online — Free
Upload any audio file — MP3, WAV, M4A, OGG, FLAC — and get an accurate transcript in seconds. Speaker detection, SRT subtitles, and 50+ language support included free.
Free account · 60 min/month · No credit card required · 50+ languages
How to transcribe a Audio File video — 3 steps
Upload your audio file
Drag and drop or browse to upload any MP3, WAV, M4A, OGG, or FLAC file up to 500 MB.
Whisper AI transcribes it
Our AI engine processes the audio and generates accurate timestamped text, identifying different speakers automatically.
Download your transcript
Export as plain text, SRT subtitles, VTT, or DOCX. Translate to 50+ languages in one click.
Why creators choose TranscribeFlow for Audio File
All audio formats
Supports MP3, WAV, M4A, M4B, OGG, FLAC, WebM, and more. No conversion needed.
Speaker detection
Automatically identifies who is speaking — perfect for interviews, podcasts, meetings, and focus groups.
Faster than real time
A 60-minute recording is typically transcribed in under 5 minutes. No long waits.
50+ languages
Transcribes in over 50 languages and can translate to any other language automatically.
Inline editor
Review and fix errors in the built-in editor. Click any timestamp to hear the audio at that point.
Multiple export formats
Export as TXT, SRT, VTT, DOCX, or copy the full text to clipboard with one click.
Frequently asked questions
How do I transcribe an MP3 file to text for free?
Upload your MP3 file on TranscribeFlow, click Transcribe, and your text transcript is ready in minutes. Free accounts get 60 minutes per month.
What audio file formats are supported?
TranscribeFlow supports MP3, WAV, M4A, M4B, OGG, FLAC, WebM, and most other common audio formats.
Is there a file size limit?
The maximum upload size is 500 MB. For longer recordings, we recommend splitting the audio into segments or using our URL transcription for hosted content.
How accurate is the audio transcription?
TranscribeFlow uses OpenAI Whisper which is one of the most accurate speech-to-text models available. Clear speech with minimal background noise typically achieves 95%+ accuracy.
Can it transcribe podcasts or interviews with multiple speakers?
Yes. Speaker diarization automatically detects and labels different speakers. You can then rename each speaker in the editor.
Ready to transcribe your Audio File videos?
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