ParseJet

WAV to Text Converter

Upload a WAV file and get an accurate text transcript of everything spoken in it. WAV is the format voice recorders, DAWs, and phone systems produce — ParseJet transcribes it with AI speech recognition, free to try with no signup.

Drop a file here or browse

Accepts WAV,MP3,M4A,OGG,FLAC files

Free — 3 requests/day, no signup. for 300 credits/month free.

How it works

1

Upload your WAV file

Drop a .wav recording above — files up to 25 MB are supported. MP3, M4A, OGG, and FLAC work too.

2

AI transcription

The speech is transcribed with AI recognition — interviews, dictations, and phone recordings all handled.

3

Copy your transcript

Copy the text for notes, documents, or captions — or call the API to transcribe recordings in bulk.

Key features

What makes this wav to text stand out.

Uncompressed audio, best accuracy

WAV is lossless — recognition quality is as good as speech transcription gets, with no compression artifacts in the way.

Accurate AI speech recognition

Modern transcription models handle fast talkers, accents, and imperfect recording conditions.

Multilingual

Transcribe speech in dozens of languages; pass a language hint via the API for best results.

Word-level timestamps

Need timings for captions? The API returns word-level timestamps with the with_timestamps option.

Readable output

The transcript comes back as clean, punctuated text — not a wall of lowercase words.

All common formats too

The same endpoint takes MP3, M4A, OGG, FLAC, and WebM — one integration covers every recording source.

Use cases

Common scenarios where this tool saves you time.

Voice recorder files

Dedicated voice recorders and field-recording gear save WAV — transcribe hours of recordings into searchable text.

Call and meeting recordings

Phone systems and conferencing tools export WAV. Turn calls into transcripts for minutes, QA, and follow-ups.

Studio and podcast masters

Transcribe the lossless master before it is compressed — the cleanest possible source for show notes and captions.

AI workflows

Claude and ChatGPT can’t listen to audio — transcribe first, then feed the text in for summaries and analysis.

Automate with the API

Use the same tool programmatically. Works with any language — just HTTP.

cURL
# Transcribe a WAV file
curl -X POST https://api.parsejet.com/v1/parse/audio \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "[email protected]" \
  -F "language=en"

# With word-level timestamps:
#   -F "with_timestamps=true"
Python
import httpx

resp = httpx.post(
    "https://api.parsejet.com/v1/parse/audio",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    files={"file": open("recording.wav", "rb")},
    data={"language": "en"},
    timeout=120,
)
print(resp.json()["text"])  # the transcript
JavaScript
const formData = new FormData();
formData.append("file", wavFile); // WAV, MP3, M4A, OGG, FLAC
formData.append("language", "en");

const res = await fetch("https://api.parsejet.com/v1/parse/audio", {
  method: "POST",
  headers: { Authorization: "Bearer YOUR_API_KEY" },
  body: formData,
});
const { text } = await res.json();
console.log(text); // the transcript

Want to automate this?

ParseJet API gives you the same parsing power via a single HTTP endpoint. No ffmpeg, no poppler, no tesseract — just one API call.

curl -X POST https://api.parsejet.com/v1/parse/auto/url \ -H "Content-Type: application/json" \ -d '{"url":"https://example.com"}'
Read API Docs

Frequently asked questions

How do I convert a WAV recording to text?

Upload the .wav file above — ParseJet transcribes the speech with AI recognition and shows the transcript. For automation, POST to /v1/parse/audio.

How large can the file be?

Up to 25 MB per file. WAV is uncompressed, so that is roughly 2 minutes of CD-quality stereo — for longer recordings, convert to MP3 or FLAC first, or split the file.

How accurate is the transcription?

Clear recorded speech transcribes with very high accuracy — and lossless WAV input gives the recognizer the best possible signal. Heavy background noise or crosstalk reduces accuracy.

Can I get timestamps for subtitles?

Yes. Pass with_timestamps=true to the API and the response includes word-level timings you can convert into SRT or VTT captions.

What languages are supported?

Dozens — English, Spanish, French, German, Japanese, Chinese, and many more. Pass a language hint via the API for the best results on short clips.

Is it free?

Yes. You get 3 free transcriptions per day with no signup. An audio file costs 1 credit; the free account includes 300 credits per month. Paid plans start at $19/month.

Start extracting text for free

No signup required. Parse your first file in seconds.

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