Privacy First
Uploaded files are automatically and permanently deleted within two hours.
Automatic deletion
FLAC to Text
Turn lossless FLAC audio into clean plain text transcripts.
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Privacy: Your uploads and transcripts are automatically deleted after 2 hours.
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Quality: Accurate FLAC transcription for common languages, with speaker detection supported for clearer text.
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Free: Transcribe FLAC to text online with no sign-up required.
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 FLAC to text transcription
Transcribe FLAC to text from lossless recordings with fast, accurate AI transcription. Upload your audio and get a clean TXT transcript without registration.
How to use Converter App
1
Upload FLAC
Choose your FLAC recording and upload it; transcription starts automatically after the upload finishes.
2
Track progress
Watch the progress indicator while AI generates the plain text transcript.
3
Download text
Save the TXT result and copy the transcript into notes, captions, or documents.
Key features
Whisper v3 engine
Modern AI transcription handles accents, fast speech, and moderate background noise.
Speaker detection
Optional diarization identifies different speakers so interviews and meetings are easier to review.
100+ languages
Transcribe common languages including English, Spanish, German, and French with language-aware recognition.
Large recording support
Long FLAC recordings, including uploads over 1 GB, are processed reliably and 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
