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WAV to Text — Transcribe WAV Files Privately

Model

Drop a WAV file here, paste, or click to browse

.wav

Processed on your device — nothing is uploaded. Verify in your network tab.

WAV is what you get when audio is captured properly: uncompressed, full-quality, and often large. Recording interfaces, field recorders, and studio sessions default to it, so if you're a podcaster, musician, journalist, or anyone working with pro audio, your source files are probably WAV. This tool transcribes them to text without uploading a single byte.

It all runs in your browser. A Whisper-class speech model works on your own device, so even a multi-gigabyte WAV never leaves your machine — which is exactly what you want when the file is an unreleased track, an embargoed interview, or a client's raw session. There's no account and nothing to install, and you can confirm the audio stays local by watching your browser's network tab.

WAV files are big, and that's the interesting part: rather than trying to load a giant file into memory at once, the tool streams it, decoding and transcribing in chunks so large recordings stay manageable. You get automatic detection across about 100 languages, timestamps, and export to TXT, SRT, or VTT.

How it works

  1. 01

    Add your WAV file

    Drag a .wav file onto the page or click to browse. Even a large uncompressed recording is read directly by your browser and streamed in chunks — it's never uploaded to a server.

  2. 02

    Pick a model and transcribe

    Choose a speed-versus-accuracy tier. The model downloads once and runs on your device, detecting the spoken language automatically. The WAV is streamed and processed in pieces so a big file doesn't overwhelm memory.

  3. 03

    Review timestamps and export

    Read the timestamped transcript, edit anything you need to, then download it as TXT for a script or SRT/VTT for subtitles. Nothing is sent when you export — the file stays on your device.

Why WAV means pro audio

WAV stores audio uncompressed — the raw waveform, without the lossy shrinking that MP3 or AAC apply. That's why it's the default for serious capture: audio interfaces, digital recorders, and DAWs write WAV because it preserves everything for editing and mastering.

For transcription, the upside is obvious — a clean, full-quality signal is the easiest possible input for a speech model. The only real cost of WAV is size. A stereo recording at typical settings runs roughly ten megabytes per minute, so an hour-long session is several hundred megabytes and a long multitrack bounce can be gigabytes.

Big files, streamed instead of swallowed

Because WAV files get large, loading one entirely into memory before transcribing would be a problem — a browser tab can only hold so much, and a couple of gigabytes would push it over.

The tool avoids that by streaming. It reads the WAV progressively, decodes it to the raw audio the model needs, and transcribes in chunks, keeping only a working slice in memory at a time and reassembling the timed transcript as it goes. That's how a very large recording gets through on an ordinary laptop without crashing the tab. Bigger files still take longer — the work is real and it's happening on your hardware — but size alone won't stop it.

Made for podcasters, musicians, and field recordings

The people who reach for WAV are the people this page is for. Podcasters transcribe an episode's WAV master for show notes, chapters, and a searchable archive — and the timestamps double as chapter markers. Musicians and producers pull lyrics or spoken sections out of session files. Field recordists and journalists turn location recordings and interviews — often captured to WAV on a dedicated recorder for quality — into usable text.

Because everything stays on your device, none of this involves handing an unreleased mix or an off-the-record interview to someone else's server.

Timestamps, languages, and subtitle export

Every transcript is timestamped, which is what makes WAV-to-subtitle work. Export SRT or VTT when the recording is destined for video — a documentary edit, a music video, a captioned talk — and the cues line up with the audio. Export TXT for show notes, an interview transcript, or a searchable text copy.

Language is detected automatically across roughly 100 languages, and it transcribes in the original language rather than translating. All three export formats come from the same timed result, so you can save show notes and subtitles from one transcription.

Frequently asked questions

How do I convert a WAV file to text for free?
Drop the .wav onto this page, choose a model tier, and start. The transcription runs in your browser on your own device, so it's free and unlimited with no sign-up. When it finishes, download the transcript as TXT, SRT, or VTT. Even large WAV files work, because the tool streams them in chunks rather than loading everything at once.
Can it handle very large WAV files?
Yes. WAV files are big because they're uncompressed, so the tool streams them — reading and transcribing in chunks and keeping only a working slice in memory — rather than loading the whole file at once. That lets a multi-hundred-megabyte or gigabyte recording get through on an ordinary laptop. Larger files take longer, but size alone won't stop the transcription.
Is my WAV file uploaded to a server?
No. Even a multi-gigabyte WAV is read and transcribed entirely inside your browser and never leaves your device. Only the speech model downloads, once, then caches. For unreleased tracks or off-the-record interviews this is the whole point — you can watch the network tab in developer tools and confirm the audio itself is never sent anywhere.
Does uncompressed WAV transcribe more accurately than MP3?
Marginally, at most. A clean uncompressed signal is the easiest input for a speech model, but compression like MP3 preserves the speech frequency range well, so the accuracy gap is small. What really drives accuracy is the recording itself — noise, crosstalk, and mic distance — and the model tier you choose. WAV's main advantage is quality for editing, not a big transcription boost.
Is this good for podcast transcription?
Yes. Podcasters often keep a WAV master, and this tool transcribes it into show notes, chapter markers, and a searchable archive — the timestamps line up with the episode so you can jump to any moment. Because it runs in your browser, the master never leaves your machine, and you can export both a plain-text transcript and subtitle files from one run.
What languages are supported?
Around 100 languages, with automatic detection of the spoken language, so you generally change nothing. It transcribes in the original language rather than translating. If detection misreads a short or noisy WAV, you can set the language manually before starting. This applies equally to an English podcast or a field recording in another language.
Can I export subtitles from a WAV?
Yes. Transcripts include timestamps, so you can export SRT or VTT subtitle files alongside plain TXT. This is useful when the WAV is destined for video — a documentary, a music video, or a captioned talk — and you need cues that align with the audio. Both subtitle formats come from the same timed result as the text export.
Do I need special software or an account?
No. Everything runs in your web browser with nothing to install and no sign-up. The speech model is fetched once the first time you transcribe and then cached, so later WAV files start quickly and can even be transcribed offline using the cached model. There's no watermark and no limit on how many files you convert.