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Models and add-ons

Not sure which model to pick? Read Choose a model first.

The Models tab: bundles, then a card for each model

Download and switch

Pick a family (Sabich, Jachnun, Shakshuka, Parakeet) and you'll see its versions as cards. Each card has its own Download, Use this one and Delete, so you can download a model without switching to it. The model in use is outlined in green with an In use badge.

Help me choose… asks about your device and what matters to you, then recommends one.

Downloads are checked before use. Each model is on disk once.

Bundles

Bundles download a set in one click and skip anything you already have.

Bundle Contains
Everything Sabich, Shakshuka, and the clean-up, title and paragraph add-ons
Voice Typing Sabich and Shakshuka
Transcription Sabich with the clean-up, title and paragraph add-ons

Updates

Check for updates looks for new versions of every model and add-on you've downloaded, and Update all installs them in one go.

Hebrish also checks by itself. By default it installs new model versions automatically, and the old version is deleted once the new one has downloaded and passed its check. Change how often it looks, or turn off automatic installs, in Settings → Model updates.

Where models are stored

Where the models are stored shows the folder and opens it. Change folder… picks another, and the app offers to move your downloaded models there.

Add-ons

The Utilities tab has small models that work alongside the speech model, offline.

The Utilities tab: voice detection and the post-processing add-ons

Add-on What it does Size
Silero VAD Tells speech from fans, traffic and café noise. Included with the app Included
Paragraph model Finds where paragraphs start in a long transcript 34 MB
S1-mini by Superwhisper Clean up: the default clean-up model 485 MB
S1-ASR-Cleanup The same job with a fine-tune of S1-mini, experimental 662 MB
Title model Writes a short title for saved transcripts. You set the longest title here (60 characters by default) 292 MB
Transform model Qwen3 4B Instruct, for Transform 2.5 GB

Sizes are as shown by Ubuntu 1.025.