If you have a WAV audio file sitting on your Mac and you need the words inside it as text, you are looking for transcription, not audio format conversion. “WAV to text” means taking the spoken content of a .wav file and producing a written transcript you can read, search, review, and reuse.
What “WAV to text” actually means
The phrase trips people up because WAV is an audio container, and “convert” usually implies turning one file format into another. In this case, though, the goal is not to turn WAV into MP3 or M4A. The goal is to extract the speech inside the WAV and write it down. That is transcription.
So when you search for “WAV to text on Mac,” what you really want is a Mac workflow that reads your existing WAV recording, listens to the speech, and gives you back a text document. If your file type is not the main question, the broader audio-file transcription workflow is similar. If your recording is an MP3 or M4A instead, use the adjacent guides on how to convert MP3 to text on Mac or convert M4A to text on Mac.
This also means the workflow is different from live dictation. You are not speaking into your Mac in real time. You already have a recorded file from a handheld recorder, an audio editor, a meeting export, an interview, a lecture capture, or another source that produced a .wav.
The Mac workflow, end to end
The practical path on a Mac looks the same regardless of where the WAV came from. You bring the file into Jotr, let it transcribe, review the result against the audio, and export the version you need.
Import the WAV file. Open Jotr on your Mac and add your .wav recording as the source audio for a new project. Jotr is designed to work with audio files you already have, so there is no need to re-record or play the file into the app live.
Generate the transcript. Once the file is in, Jotr produces a transcript of the speech in the recording. This is the “WAV to text” step itself: spoken words in, written words out.
Review with timestamp-linked playback. A raw transcript is rarely the final deliverable. Jotr lets you replay the audio from any point in the transcript, so you can click into a line, hear what was actually said, and fix anything that drifted: names, jargon, overlapping speakers, or muffled phrases. You can edit text inline, highlight passages that matter, and leave notes as you go. This review step is what turns a machine transcript into something you would actually send, file, or quote from.
Export in the format you need. When the transcript is in good shape, export it. For a plain reading or pasting workflow, Plain Text is the simplest option. For subtitles or captioned video, SRT and VTT are standard outputs and both are supported. If you are handing the reviewed transcript to someone for further editing or formatting, Markdown and Word/DOCX are useful for that downstream work.
Why this is a low-friction free path on Mac
Two things make Jotr worth trying before you reach for anything heavier. First, it is free to download, and free transcription starts without an account or credit card. You can open the app, drop in a WAV, and see a transcript without committing to anything.
Second, the project - your audio, your transcript, your edits - is created, stored, and processed on your Mac. There is no account system to manage and no shared cloud workspace to set up before you can work, which keeps the “try it now” path short.
What this workflow is not for
It helps to be clear about the edges. This is for recorded WAV files that contain speech you want as text. It is not an audio format converter; if your goal is to turn a WAV into an MP3 or trim it as audio, that is a different kind of tool. It is not live dictation, where you speak and watch words appear. It works on files you already have.
And while the review step makes the transcript much more useful, no automatic transcript is going to be flawless on the first pass. The point of replay, edit, highlight, and note is to let you bring it the rest of the way.
For a Mac user with a .wav file and a need for readable text, the route is simple: import, transcribe, review against the audio, and export as Plain Text, SRT, VTT, Markdown, or Word/DOCX depending on what you need next.