Convert WAV to Text
Upload your wav file and get an accurate transcript in seconds. 100+ languages, speaker detection, timestamps included.
About WAV
WAV is an uncompressed audio format that preserves full audio quality. Ideal for high-accuracy transcription where file size is not a concern.
Export Transcripts As
.TXT
Plain Text
.SRT
Subtitles
.VTT
WebVTT
.DOCX
Word Doc
.JSON
Structured
.PDF
Document
Frequently Asked Questions
Upload your WAV audio file (.wav) to STT.ai or record live. Select your preferred AI model and click Transcribe — most files complete in under 5 minutes. Output formats include TXT, SRT, VTT, DOCX, JSON, and PDF.
Yes. STT.ai gives every visitor 600 free minutes/month for WAV transcription. No signup required for your first file. Paid plans starting at $5/month unlock longer files, more minutes, and private transcripts.
WAV is a lossless format — the audio reaching our models is bit-perfect, so accuracy is bounded only by the model and speaker clarity, not by codec artifacts. Our best models reach 93-97% accuracy on clean WAV input.
For most WAV files, STT.ai Enhanced or Whisper Large V3 give the best accuracy. NVIDIA Canary is faster with comparable quality on shorter clips. You can compare results from multiple models on the same file in the compare-stt tool.
Yes. WAV audio transcription supports 100+ languages. Auto-detection works for most clips, or you can specify the source language manually for a small accuracy lift.
Yes. Speaker diarization works on every supported format including WAV. Each speaker is labeled (Speaker 1, Speaker 2, ...) and you can rename them in the editor afterwards.
WAV audio files up to 2 GB are supported. Free users get up to 1 hour per file; paid plans extend that to 8+ hours, which covers most long-form podcasts and lectures.
Yes. WAV files are processed and deleted by default. Pro plans add client-side encryption — even if our database is breached, your transcripts are unreadable without your key. Data is never used for model training without explicit opt-in.
Yes. The REST API accepts WAV files directly via the /v1/transcribe endpoint. Python and Node.js SDKs include WAV examples. Free tier includes 100 minutes/month of API usage.
Yes. After transcribing a WAV file you can export the result as SRT or VTT subtitles — useful if you plan to pair the audio with video later, or for accessibility on audio-only podcast pages.
Yes. Every transcript opens in our built-in editor where you can correct words, rename speakers, adjust timestamps, and add notes. Edits persist across exports.
Each transcript gets a shareable link. Since WAV is the studio-grade lossless format, paired transcripts are commonly used in archival, broadcast, and forensic workflows — PDF export with timestamps is a popular format for those.
STT.ai supports URL uploads from 1,300+ platforms (YouTube, Vimeo, SoundCloud, podcast hosts, etc.). If the source returns WAV or anything convertible to WAV, we can transcribe it. DRM-protected sources cannot be transcribed; for those, download manually and upload the WAV file directly.