Voice to PDF

Upload audio or dictate into your mic. We transcribe and lay out a PDF. Review names and numbers before sharing.

Voice to PDF - Convert Audio to PDF

Drag & Drop Audio Files Here

or click to browse and select audio files (MP3, WAV, M4A, OGG, FLAC)

Supported formats: MP3, WAV, M4A, OGG, FLAC, WMA

Voice to PDF: Upload audio files or record voice with your microphone. The audio will be transcribed to text and converted to a PDF document.
No audio files available

Drag & drop audio files above, use the upload button, or record with microphone

Note: Voice recognition uses offline Sphinx speech recognition running on our server, no external speech API calls, no third-party audio processing. Your audio is processed privately and deleted within one hour.

Voice notes to PDF

Upload MP3, WAV, M4A, or record straight into your mic. Speech-to-text runs on the server, then you get a formatted PDF you can search, email, or archive. Good for meeting notes, interview recordings, or voice memos you'd rather read than replay.

Formats and languages

MP3, WAV, M4A, OGG, FLAC, and WMA all work. Pick the language that matches the recording, wrong language = garbled transcript. English, Spanish, French, German, Italian, Portuguese, Japanese, and Chinese (Simplified) are supported.

Getting usable transcripts

  • Quiet room beats a noisy café, background chatter kills accuracy
  • One speaker at a time is easier than four people talking over each other
  • WAV or a high-bitrate MP3 beats a low-quality phone recording
  • Always skim the PDF before you send it, names, acronyms, and jargon often need a quick fix

Expect roughly 85–95% accuracy on clear speech. Accents, crosstalk, and mumbling will need manual cleanup on anything important.

Your audio on our server

Upload is HTTPS. Audio is transcribed on the server (speech recognition may use an external API depending on configuration, check the page notice before uploading sensitive content). Files are deleted within an hour.

Frequently Asked Questions

Transcription accuracy depends on audio quality, background noise, speaker clarity, and language selection. High-quality recordings with clear speech typically achieve 85-95% accuracy. Always review and edit transcripts for important documents.

Yes, our tool can transcribe conversations with multiple speakers. However, accuracy improves when speakers are clearly distinguishable and speak one at a time. For best results, ensure good audio quality and minimal overlapping speech.

The upload limit is 50MB per audio file. For longer recordings, split them into segments first. Processing time increases with file size, so very large files may take several minutes to transcribe.

Voice-to-PDF conversion requires an internet connection because it uses cloud-based speech recognition APIs for accurate transcription. The audio file processing happens locally, but speech recognition requires internet connectivity.