Privacy First
Uploaded files are automatically and permanently deleted within two hours.
Automatic deletion
MPEG to Text
Transcribe MPEG videos into clean plain text in minutes.
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Free: Convert MPEG to text online with no sign-up required.
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Quality: High-accuracy transcription supports common languages and speaker detection for faithful plain text output.
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Privacy: Your uploads and 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 MPEG to text transcription
Upload an MPEG recording and get a clean text transcript in minutes. Whisper v3 AI keeps long videos, accents, and noisy audio manageable.
How to use Converter App
1
Upload MPEG
Choose your MPEG recording or video from the upload box to start AI transcription.
2
Track progress
Watch progress while AI generates your plain text transcript from the MPEG audio.
3
Download transcript
Download the finished TXT transcript for editing, search, notes, or documentation.
Key features
Whisper v3 AI
Modern speech recognition supports 100+ languages and handles accents, fast speech, and moderate noise.
Speaker detection
Speaker detection can identify different voices, so interviews and meetings need less cleanup.
Long recordings
Process large MPEG videos over 1 GB and lengthy lectures without breaking the job.
Free and private
Use it free with no sign-up; uploads are automatically deleted after 2 hours.
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
