Transcribe audio files offline on Mac
On Mac, download a local speech model, complete account setup and select a local engine before disconnecting. Choose Transcribe Audio File from the WhisperJot menu bar and open a recording macOS can read. Review the result in History and export the text. This workflow uses an existing file rather than live microphone dictation.
By WhisperJot · Documentation reviewed
Prepare before going offline
Model files need downloading only before they are available locally, but account verification has its own periodic connectivity requirement. Check access before a trip or a long disconnected session. A local model selection does not change the behavior of a cloud storage folder containing your recording.
- Finish sign-in and account verification while connected.
- Select Jot Local Pro and download a model suitable for the recording's language. Use a multilingual model for non-English speech.
- Save the actual recording to the Mac and check that you can play it; a cloud sharing link alone is not an audio file.
- Try a short representative file with the local engine, then disconnect and repeat.
Import and check the transcript
- Choose Transcribe Audio File from the menu bar.
- Select an audio file macOS can open.
- Find the resulting transcript in History.
- Replay the recording and correct names, figures and unclear passages.
- Export the checked text and retain a reference to the source recording.
Source recording: interview-excerpt.m4a Working transcript: interview-excerpt-draft.txt Review notes: [unclear name at 00:42]; [confirm amount at 01:18] Final transcript: interview-excerpt-reviewed.txt
Separate a file problem from a recognition problem
Renaming a file extension does not convert its contents. Preserve the original when preparing another copy. Start with a short clip if you need to isolate a decoding or recognition issue, and change one setting at a time.
| Observation | Next step |
|---|---|
| File cannot be opened | Check local playback and export a compatible audio copy using your audio app. |
| Audio is silent or clipped | Return to the recording; format conversion cannot recover missing speech. |
| Text has wrong-language words | Check the language choice and whether the model is multilingual. |
| Names are wrong but speech is clear | Compare with written sources and correct the transcript. |
Choose the right output
The documented Mac workflow produces text in History that you can export. Add speaker labels or editorial timestamps yourself when your project needs them. Do not assume plain-text export is a timed subtitle file or that a transcript includes a summary.
The browser audio-to-text tool is a separate, opt-in cloud workflow and requires internet. Use it when that processing path fits your task; use the installed Mac app with a local model for this offline workflow. File import on Windows and Linux is not established by these Mac instructions.
Questions
Can I transcribe an MP3 without uploading it?
On Mac, select a local engine with its model downloaded and import a recording macOS can open. Check optional sync and the storage location separately. The website converter uses a cloud path.
Does exporting text create subtitles or speaker labels?
No such output is promised by this workflow. It describes a transcript in History and text export. Add speaker labels and editorial timestamps manually if needed.
Sources and related guides
Product behavior is based on the documentation below, reviewed 2026-09-19. Examples are authored illustrations; measurement worksheets are for your own observations.