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Transcribe any audio file to an editable PDF using on-device Whisper AI — completely free, with no server upload. MP3, WAV, M4A, and other common audio formats are supported. The transcription model runs entirely in your browser via WebAssembly: your audio never leaves your device. Perfect for meeting transcripts, lecture notes, podcast transcripts, and interview recordings.
Audio recordings are difficult to search, reference, or share in professional contexts. A meeting recording becomes a searchable, quotable, archive-able document when transcribed to PDF. Journalists transcribe interviews for fact-checking and quotation. Students transcribe recorded lectures for revision notes. Legal teams transcribe depositions and hearings for filing. Business teams transcribe board meetings for minutes distribution. ihatepdf's on-device Whisper transcription means sensitive recordings — board meetings, legal discussions, medical consultations — never touch any external server.
MP3, WAV, M4A, OGG, FLAC, and WebM audio are supported.
No. Whisper AI runs entirely in your browser using WebAssembly. Your audio file never leaves your device.
Whisper AI achieves near-human accuracy on clear recordings in English. Accuracy decreases with heavy accents, background noise, or technical jargon in non-English languages.
Yes, but processing time scales with audio length. A 1-hour recording may take several minutes to transcribe on a desktop. Keep your device plugged in and screen on during processing.