Does Whisper Run Locally? Yes, By Design
OpenAI released Whisper as open-source code and weights, which means the model file sits on your disk and inference runs on your hardware. Nothing about it requires an API or an internet connection after the model is downloaded.
Why bother running it locally? It buys three things: privacy, since audio never leaves the machine; cost, since there are no per-minute API fees across hours of recordings; and reliability on planes, in the field, and on flaky networks. The trade-off is speed: your hardware sets it, and that is where the three options below differ.
Option 1: A GUI App (No Terminal)
If you want local Whisper as a tool rather than a project, use an app that bundles it. Spokenly (free, Mac and Windows) ships local Whisper models: pick one in settings, it downloads once, and from then on both live dictation and file transcription run on-device. You also get what raw Whisper lacks: a system-wide dictation hotkey, speaker labels for files, subtitle export, and a custom dictionary.
On the Mac, MacWhisper is another established GUI, file-transcription-first with a €59 lifetime Pro tier; the open-source Handy covers basic local dictation. Our comparisons of MacWhisper and Handy break down the differences.
Option 2: whisper.cpp (Command Line)
whisper.cpp is a C++ reimplementation tuned for consumer hardware: it runs well on plain CPUs, uses Apple Silicon acceleration on Macs, and needs no Python environment. Clone the repository, build it (a compiler toolchain is the one prerequisite), download a model with the repo's bundled script, and point the binary at your audio; it writes text, SRT, or VTT. The project's README walks through the exact commands per platform.
Choose this route for scripted batch work, servers, or when you want the fastest CPU-only path. It is the engine behind many of the GUI apps, so you get the same engine with more control and less hand-holding.
Option 3: The Original Python Package
OpenAI's reference implementation installs with pip install openai-whisper and transcribes with a one-line command; note it also needs ffmpeg installed and on your PATH, which is the install step people most often miss. It is the natural choice inside Python pipelines and research code, and it benefits most from an NVIDIA GPU; on a bare CPU it is generally slower than whisper.cpp. If you are not already living in Python, one of the first two options reaches local Whisper with less friction.
Hardware Notes
- +Apple Silicon (M-series): the sweet spot for local Whisper; optimized runtimes make even larger models practical.
- +Windows laptops: modern CPUs handle small and medium models comfortably; large models want either patience or a discrete GPU.
- +Older Intel Macs: smaller Whisper models still run; expect longer processing on large files, or use a cloud engine for the heavy jobs.
- +Disk space: model files range from tens of megabytes to a few gigabytes; you install only the sizes you use.
Which Model to Pick
Whisper comes in sizes from tiny to large-v3, and the practical favorite is large-v3-turbo: near-large accuracy at much lower compute. The full trade-off table, size by size, is in our Whisper model sizes guide. And if English-only speed on Apple Silicon is the goal, compare NVIDIA's Parakeet family in Parakeet vs Whisper; it is often the faster local pick.
FAQ
Does Whisper run locally?
Yes. OpenAI released Whisper as open source, so the models download to your machine and run entirely offline. Local Whisper powers command-line tools like whisper.cpp and desktop apps like Spokenly; no audio is sent to OpenAI or anyone else when you run it this way.
Is running Whisper locally free?
Yes. The models and the open-source runtimes cost nothing, and apps like Spokenly include local Whisper in their free tier. You pay only in disk space and compute time on your own machine.
Can I run Whisper on an M1/M2/M3 Mac?
Yes, and Apple Silicon is one of the best places to run it. Optimized runtimes tap the M-series hardware, so even larger models stay practical. Spokenly and whisper.cpp both run Whisper natively on Apple Silicon.
Can I run Whisper locally on Windows?
Yes. whisper.cpp ships Windows builds, the Python package runs anywhere Python does, and Spokenly for Windows includes local Whisper models with no setup. Speed depends on your CPU and, for the Python/GPU route, your graphics card.
Which Whisper model should I use locally?
Start with a mid-size model and adjust: smaller models are faster but less accurate, large-v3-turbo gives near-large accuracy at a fraction of the cost. Our Whisper model sizes guide compares them one by one, and on Apple Silicon the NVIDIA Parakeet models are a strong alternative for speed.
Does local Whisper work with no internet at all?
Yes, after the one-time model download. From then on transcription is fully offline; in Spokenly you can even enable Local Only Mode to block all network requests while you work.
Ready to try Spokenly?
Free to use with local models. No account required.
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