Built-in Whisper Model Manager

Download Whisper
Models for Windows

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.

Get it from Microsoft Store

Microsoft Store distribution

Whisper Large V3
2.9 GB, reviewed long files
Pro
Whisper Large V3 Turbo
1.55 GB, larger-model option
Pro
Whisper Medium
1.45 GB, larger-model option
Pro
Whisper Small
466 MB, daily local use
Free
Whisper Base
142 MB, lighter drafts
Free
Whisper Tiny
75 MB, smallest download
Free

One Installer, Choose Your Models

The built-in manager shows what is present and what still needs a download

Automatic Downloads

Select your model in settings, click download. Progress bar shows status. No manual file management or path configuration needed.

Model Switching

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.

GPU Paths

Supported NVIDIA CUDA and Vulkan paths can accelerate local inference. CPU-only operation remains available, with speed depending on the model and hardware.

Whisper.cpp Included

The installer includes the native whisper.cpp engine, so you do not need a separate Python or command-line setup for the desktop workflow.

Offline After Model Download

When the required model is present, local transcription can run without an active connection. Account checks and optional cloud transcription are separate online paths.

Local Storage

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.

Whisper Model Comparison

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

How to Download Whisper Models on Windows

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.

  • Install StarWhisper on 64-bit Windows 10 or Windows 11.
  • Open Settings > Models and check which local files are already present.
  • Choose a model, start its download, and wait for completion while you have internet access.
  • Run a short local test before relying on the model for offline work.

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.

How to Choose a 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.

When to try Large V3

  • Long recordings that will be reviewed before use
  • Projects where you can reserve more disk space and processing time
  • Cases where you have compared the output on your own hardware and language

When to start smaller

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.

Language and translation note

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.

Whisper.cpp in the Desktop Workflow

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.

  • No separate Python environment is required for the app workflow
  • Local models are downloaded and checked by the model manager
  • CPU, CUDA, and Vulkan paths can be selected by the app when supported

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.

Model Storage and Offline Prerequisites

Downloaded models are stored in the app's local data folder. The nominal model sizes in the current source are:

  • Tiny: 75 MB
  • Base: 142 MB
  • Small: 466 MB
  • Medium: 1.45 GB
  • Large V3 Turbo: 1.55 GB
  • Large V3: 2.9 GB

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.

Download Whisper Models Now

Install StarWhisper, choose a model, and start local transcription after the required files are present.

Download StarWhisper