WAV to Text — Transcribe WAV Files with AI

Upload your WAV file to VexaScribe using drag-and-drop or the file browser — no need to convert it to MP3 first. The AI processes the audio, identifies spoken words, detects different speakers, and generates a timestamped transcript in minutes. WAV's lossless format yields slightly more accurate transcripts on noisy or quiet audio; for clear recordings the difference is marginal. Once complete, review in the editor, make corrections, and export as TXT, DOCX, or SRT.

Yes. VexaScribe gives you 30 minutes free on signup with no credit card required — enough for several short WAV files or one ~30-minute recording. Other genuinely free options: (1) Whisper installed locally on your computer (100% free and private, requires Python setup), (2) free online tools but they typically cap files at 25 MB, which is only 5-10 minutes of standard WAV audio. For longer files or recurring use, paid plans start at $2/month.

No. Modern AI transcription tools (VexaScribe, AssemblyAI, Deepgram, Whisper) accept WAV files directly. There's no quality or accuracy benefit to converting WAV → MP3 first — in fact, you'd lose audio information. The only practical reason to convert is if your transcription tool has a small file size limit; in that case, converting to MP3 reduces file size by ~10×. VexaScribe accepts WAV up to 5 GB, so no conversion needed.

Almost always file size. A 1-hour WAV at standard CD quality (16-bit, 44.1 kHz mono) is approximately 300 MB. Most free online tools cap uploads at 25 MB — about 5-10 minutes of WAV. Studio-quality WAV (24-bit, 48 kHz stereo) hits 1 GB per hour. Solutions: (1) use a tool with higher limits (VexaScribe accepts up to 5 GB), (2) compress to MP3 first (loses some quality but reduces 10×), or (3) split the WAV into chunks before uploading.

WAV is a lossless format, meaning no audio data is lost during compression. This can produce slightly more accurate transcripts, especially for quiet speech or noisy environments where every audio detail matters. For clear recordings with good microphone quality, the difference between WAV and MP3 transcription is minimal. If you already have MP3 files, they will still transcribe well—WAV just gives a small edge in challenging audio conditions.

A typical 1-hour WAV file takes about 5-10 minutes to transcribe. While WAV files are significantly larger than MP3 files, processing time depends on audio duration, not file size. Shorter recordings like 10-15 minute clips are usually ready in 1-2 minutes. You can close your browser while waiting—your transcript will be saved and ready when you return.

VexaScribe supports WAV files up to 5GB in size. WAV files at standard CD quality (16-bit, 44.1kHz stereo) are approximately 10MB per minute of audio. For very long recordings, consider splitting the file into smaller parts before uploading. We also accept other audio formats (MP3, M4A, FLAC, OGG) if you want to convert your WAV to a smaller format first.

Yes, VexaScribe supports WAV to text conversion in 99 languages. This includes English, Spanish, French, German, Portuguese, Italian, Dutch, Russian, Chinese, Japanese, Korean, Arabic, Turkish, Hindi, and many others. The language is detected automatically from the audio, or you can specify it manually if you know what language is being spoken. This makes the tool useful for international content and multilingual recordings.

Yes, all WAV transcripts include timestamps. Each segment of the transcript shows when those words were spoken in the original audio file. This makes it easy to navigate to specific parts of your recording. When you export as SRT format, the timestamps are formatted for use as video subtitles. The TXT and DOCX exports also include timestamp information for reference.