WAV to SRT Converter

WAV (Waveform Audio File Format) is the gold standard for uncompressed audio — and it's the format that gives Whisper AI the highest possible transcription accuracy. If you have WAV files from a recording interface, professional microphone, or DAW export, AudioSRT converts them to SRT without any upload, regardless of file size.

Why WAV gives better transcription accuracy than MP3

MP3 and other compressed formats work by discarding audio data that psychoacoustic models predict the human ear won't notice. For music listening, this is largely true. For speech transcription, however, the frequencies that get discarded often include consonant articulation, sibilance (s, sh, ch sounds), and the subtle cues that distinguish similar-sounding words.

WAV stores audio as raw, uncompressed PCM data — every sample captured by the microphone is preserved. Whisper AI, like all modern ASR models, was trained on high-quality audio. When you give it full-fidelity WAV instead of a compressed MP3, you remove an entire class of transcription error caused by codec artifacts. For technical content, accented speech, or recordings with multiple speakers, the accuracy difference between 128kbps MP3 and uncompressed WAV can be significant.

WAV file sizes and what to expect

WAV is large by design. Here's what typical WAV files look like:

• 16-bit/44.1kHz stereo (CD quality): ~10MB per minute, ~600MB per hour
• 24-bit/48kHz stereo (broadcast standard): ~17MB per minute, ~1GB per hour
• 24-bit/96kHz stereo (high-resolution): ~34MB per minute, ~2GB per hour
• 32-bit float/192kHz stereo (studio master): ~90MB per minute, ~5.4GB per hour

Cloud transcription tools typically cap uploads at 500MB or 1GB, which means an hour of professional-quality WAV often fails. AudioSRT reads the file locally — your browser's file API handles files of any size, with no upload bottleneck.

Professional recording workflow: WAV to SRT

For studio recordings and professional productions, the typical workflow is:

1. Export a mono mix if possible. Stereo WAV is supported, but a mono mix of the dialogue or voice track is smaller and often has higher per-channel quality. If your DAW can bounce a dialogue stem as mono WAV, do it before transcribing.
2. Remove music and effects tracks. Export only the voice content. Background music, even subtle scoring, can confuse Whisper AI. A clean dialogue track with no music yields the highest accuracy.
3. Trim silence. Leading and trailing silence doesn't affect accuracy, but if your WAV has long sections of ambient noise or music without speech, those sections will generate empty subtitle entries or hallucinated words. Trim to the speech content before transcribing.
4. Set the language explicitly. Don't rely on auto-detect for professional work. Select your target language before transcribing.

24-bit and 32-bit float WAV support

Professional recordings are often captured at 24-bit or 32-bit float rather than 16-bit. Higher bit depth expands dynamic range — 24-bit provides 144dB of dynamic range versus 96dB for 16-bit — and reduces quantization noise in quiet passages. AudioSRT's WebAssembly Whisper implementation normalizes the bit depth internally before transcription, so 24-bit and 32-bit float WAV files process the same as 16-bit. You don't need to convert to 16-bit first.

WAV vs MP3 for transcription: the practical answer

If you have both WAV and MP3 versions of the same recording, always use the WAV. If you only have an MP3 — because the original WAV was recorded that way or was deleted — don't re-encode it to WAV before transcribing. Re-encoding from MP3 to WAV doesn't recover lost audio data; it just wraps the already-compressed audio in an uncompressed container, giving you a much larger file with no accuracy benefit.