How to Transcribe Offline on Mac
Most transcription tools require an internet connection because they send your audio to cloud servers for processing. This means they do not work on planes, in areas with poor connectivity, or in secure environments where sending audio externally is not allowed. On-device transcription solves this by running the entire speech-to-text pipeline locally on your Mac. Here is how to set up reliable offline transcription.
Step-by-Step Guide
Understand on-device vs. cloud transcription
Cloud-based tools (Otter.ai, Rev, Google Docs voice typing) send your audio to remote servers. On-device tools (Glasscribe, Apple Dictation) process everything locally using neural engine models stored on your Mac. On-device tools work without internet but may have slightly different accuracy characteristics depending on the language.
Ensure language models are downloaded
On-device speech recognition requires language models to be present on your Mac. Glasscribe uses Apple's Speech framework, which downloads models automatically when you first select a language. Make sure to select your desired language(s) while you have an internet connection so the models download before you go offline.
Test offline transcription before you need it
Disconnect from Wi-Fi and try transcribing. Speak a few sentences using your microphone and confirm that text appears. If a language model is missing, you will see an error — reconnect to download it, then test again offline.
Set up your audio source
For offline use, you can transcribe from the microphone (live speech) or from audio files playing on your Mac (system audio capture). Both work without internet. If you plan to transcribe downloaded podcast episodes or audio files, make sure those files are stored locally.
Transcribe with confidence offline
Start the transcription session as you normally would. The entire process — speech recognition, optional translation, text display, session saving — runs on your Mac. Your audio data never leaves the device, and the quality is consistent whether you are online or offline.
Pro Tips
Frequently Asked Questions
Is offline transcription as accurate as cloud-based transcription?
For well-supported languages like English, on-device accuracy is comparable to cloud solutions — typically 90-95% or higher with clear audio. Some languages with smaller on-device models may have slightly lower accuracy than their cloud counterparts. The gap has narrowed significantly with recent advances in on-device neural models.
Does offline translation also work?
Yes. Glasscribe's live translation feature uses Apple's on-device Translation framework, which also runs offline. Make sure to download the translation models for your language pairs while online.
Which Macs support on-device transcription?
Glasscribe requires macOS 14 (Sonoma) or later, which runs on Apple Silicon Macs (M1, M2, M3, M4 series) and recent Intel Macs. Apple Silicon Macs deliver significantly better performance for on-device speech recognition thanks to the dedicated Neural Engine.