Privacy First
Uploaded files are automatically and permanently deleted within two hours.
Automatic deletion
WMA to Text
Turn WMA audio into clean text transcripts in minutes.
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Free: Transcribe WMA audio to text online with no sign-up required.
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Quality: Accurate WMA transcription stays faithful to the source, supports all common languages, and can distinguish speakers for cleaner transcripts.
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Privacy: Your WMA uploads and text transcripts are automatically deleted after 2 hours.
Detect Multiple Speakers
Automatically distinguish who is talking (ideal for meeting notes and interviews)
Enable speaker detection?
Using speaker detection may significantly increase processing time. Do you want to use it for this transcription?
AI transcription
AI WMA to text
Convert WMA to text with fast AI transcription that handles long recordings, accents, and common languages. Free to use, with no sign-up.
How to use Converter App
1
Upload recording
Add your WMA recording from your device using the upload box.
2
Track progress
Watch the progress while AI generates a plain text transcript.
3
Download text
Download the finished TXT transcript and use it in notes or documents.
Key features
Whisper v3 AI
Modern Whisper v3 AI improves accuracy on fast speech, accents, and moderate background noise.
Speaker detection
Automatically identifies different speakers to make interviews, panels, and meetings easier to review.
Long audio ready
Handles long WMA recordings and large uploads over 1 GB without breaking the workflow.
Private processing
Uploaded recordings are automatically deleted after 2 hours for cleaner, safer transcription.
Experience & privacy
Built for reliable transcription workflows.
Developed by engineers with 10+ years of experience in large-scale infrastructure, data systems, and scientific computing. Designed for real-world audio workflows where privacy, dependable processing, and practical usability matter.
Trusted by Users
Rated 5 stars on Trustpilot for speed, reliability, and ease of use.
User trust
Academic Use
Referenced in published research and used for interview transcription and qualitative data analysis.
Research use
