Install StarWhisper on Windows, choose a local Whisper model, and let the built-in manager handle model downloads. Download the files you need before using local transcription without an active connection.
The built-in manager shows what is present and what still needs a download
Select your model in settings, click download. Progress bar shows status. No manual file management or path configuration needed.
Change the selected model from Settings. Use a smaller model for a lighter local test, then compare a larger model on the recordings you actually handle.
Supported NVIDIA CUDA and Vulkan paths can accelerate local inference. CPU-only operation remains available, with speed depending on the model and hardware.
The installer includes the native whisper.cpp engine, so you do not need a separate Python or command-line setup for the desktop workflow.
When the required model is present, local transcription can run without an active connection. Account checks and optional cloud transcription are separate online paths.
Models are stored in the app's local data area. Larger choices use more disk space, so download only the files you plan to test or use.
Choose the right model for your needs
| Model | Size | Plan | Use it when | Hardware note |
|---|---|---|---|---|
| Large V3 | 2.9 GB | Pro | Long files that you plan to review | Large files can need more compute and memory |
| Large V3 Turbo | 1.55 GB | Pro | A larger-model option with a smaller download than Large V3 | Test on your own GPU or CPU |
| Medium | 1.45 GB | Pro | Longer or more demanding recordings | Needs more resources than Small |
| Small | 466 MB | Free | General local dictation and short files | Practical starting point for many PCs |
| Base | 142 MB | Free | Short notes with a smaller download | Lighter model choice |
| Tiny | 75 MB | Free | Quick tests on a constrained machine | Smallest local download |
StarWhisper keeps the model step inside the desktop app. You do not need to create a Python environment or manage command-line paths for this workflow.
The direct installer can bundle Tiny, Base, and Small, while the Microsoft Store package may require Base or Small to be downloaded. The model manager checks the actual files and lets you download a missing free model.
Model choice is a trade-off between download size, compute, speed, language needs, and how much review your transcript will receive. Start with a free model, then test a Pro model on the same sample if the larger file is worth the extra resources.
For live dictation and short notes, Small, Base, or Tiny uses less disk space and compute. A larger model can take longer, especially on CPU-only hardware, so compare the workflow before downloading every model.
Use a multilingual model when your recordings need languages beyond an English-only workflow. The app's model and language settings determine which local path is used; check the selected language before an offline session.
StarWhisper bundles a native whisper.cpp engine for local inference. The desktop path keeps model selection, hardware choices, and downloads in the app instead of asking you to assemble a separate command-line environment.
The engine still depends on the selected model and the computer running it. If you need reproducible timing, compare your own sample with the measured Windows benchmark, which documents its hardware and speed-only scope.
Downloaded models are stored in the app's local data folder. The nominal model sizes in the current source are:
Download only the models you need and leave room for the installer and temporary files. For offline use, finish the installer and model download first, select local mode, and run a short test before disconnecting. The planned offline dictation walkthrough and Notepad dictation walkthrough cover those checks. Free access includes 2,000 words/week; Pro is $10/month or $80/year.
Install StarWhisper, choose a model, and start local transcription after the required files are present.
Download StarWhisper