How to Set Up Offline Speech Recognition on Windows — A Complete Guide
Most speech recognition tools send your audio to the cloud. That’s a problem if you care about privacy, work with sensitive data, have unreliable internet, or simply don’t want your voice recordings on someone else’s server.
The good news: fully offline, local speech recognition on Windows is now genuinely good, thanks to OpenAI’s Whisper AI. Here’s how to set it up.
Why Go Offline?
- Privacy — audio never leaves your machine; important for healthcare, legal, corporate, and personal use
- Reliability — no dependence on internet connectivity or cloud service uptime
- Speed — no network round trip; transcription happens instantly on your hardware
- Cost — no API fees or subscription requirements for the transcription itself
- Compliance — satisfies data residency and privacy regulations (HIPAA, GDPR considerations)
Option 1: ScribAI (Easiest — 60 Seconds)
ScribAI bundles Whisper AI into a native Windows app with push-to-talk dictation. No Python, no command line, no manual model downloads.
Setup steps
- Download ScribAI (99 MB installer)
- Run the installer — no admin rights needed
- Open ScribAI → Settings → select Local mode
- Choose a Whisper model (Tiny for speed, Base for balance, Small for accuracy)
- ScribAI downloads the model automatically (one-time, ~75–500 MB)
- Hold Ctrl+Win+A and speak — text appears at your cursor
That’s it. From this point forward, all speech recognition happens on your PC. No internet needed. No audio sent anywhere.
Choosing a model
- Tiny (~75 MB) — fastest, good for short messages on older hardware
- Base (~150 MB) — best balance of speed and accuracy for most users
- Small (~500 MB) — highest local accuracy, needs a decent CPU (GPU optional)
No GPU is required for any model. A modern Intel or AMD processor handles Tiny and Base easily. Small benefits from a GPU but works without one.
Option 2: Whisper via Python (For Developers)
If you’re a developer who wants to use Whisper directly for transcribing audio files or building custom pipelines:
Prerequisites
- Python 3.8+ installed
- pip (Python package manager)
- Optional: NVIDIA GPU + CUDA for faster processing
Installation
- Open a terminal: pip install openai-whisper
- Install ffmpeg (required for audio processing): winget install ffmpeg
- Test with a file: whisper audio.wav --model base --language en
This transcribes audio files offline. It does not provide real-time dictation — you’d need to build recording, hotkey, and clipboard-paste functionality yourself. That’s essentially what ScribAI does on top of Whisper.
Option 3: Windows Offline Speech Recognition
Windows has a built-in offline speech recognition option in Settings → Privacy → Speech. You can download an offline speech pack for your language. This enables basic offline dictation via Win+H.
Limitations
- Significantly lower accuracy than Whisper
- Limited language support for offline packs
- Still uses the toggle-based Win+H interface
- No model selection or quality control
For casual use it’s fine. For serious dictation work, Whisper-based solutions are meaningfully better. See our detailed comparison.
Hardware Requirements for Offline Whisper
| Model | RAM Needed | CPU | GPU | Speed (30s audio) |
|---|---|---|---|---|
| Tiny | ~200 MB | Any modern | Not needed | ~2–4 sec |
| Base | ~400 MB | Any modern | Not needed | ~4–8 sec |
| Small | ~1 GB | i5/Ryzen 5+ | Helps (~2× faster) | ~6–15 sec |
Speeds are approximate and depend on your specific hardware. Most users on modern PCs won’t notice any meaningful delay with Tiny or Base models.
Privacy: What “Offline” Actually Means
When ScribAI runs in Local mode:
- Audio is captured from your microphone only while you hold the hotkey
- Audio is processed by Whisper on your CPU/GPU
- The transcription result is placed on your clipboard and pasted
- Audio is immediately discarded — not saved to disk, not logged, not transmitted
No network requests are made during transcription. You can verify this by disconnecting from the internet entirely — Local mode works identically.
Read the full details in our privacy policy.
Compliance and Regulatory Considerations
For many organisations, offline speech recognition isn’t just a preference — it’s a requirement. Here’s how local Whisper-based tools like ScribAI relate to common regulatory frameworks:
HIPAA (US healthcare)
HIPAA requires that Protected Health Information (PHI) be safeguarded from unauthorized access. Any cloud-based speech recognition tool that processes patient-related dictation creates a Business Associate relationship and requires a signed Business Associate Agreement (BAA) with the vendor. ScribAI in Local mode sidesteps this entirely: audio is processed on your machine and immediately discarded. No PHI reaches any third-party server, so no BAA is required for the dictation component.
GDPR (EU/UK data protection)
GDPR classifies voice recordings as personal data when they can identify an individual. Sending voice recordings to a cloud API for transcription creates a data processing relationship that requires a Data Processing Agreement (DPA) and potential cross-border data transfer considerations. Local processing eliminates the data transfer entirely — the recording never leaves the device that captured it.
Attorney-client privilege
Bar ethics rules in most US jurisdictions (and equivalents in the UK, Australia, Canada, and others) require lawyers to take reasonable precautions to preserve client confidentiality when using technology. Several state bars have issued guidance that cloud-based voice services may require client consent or are inadvisable for privileged communications. Local Whisper processing requires no such consent because there is no third-party transmission.
Corporate data governance and NDAs
Many corporate employees are bound by NDAs and internal data governance policies that restrict what information can be transmitted to third-party cloud services. Engineering specs, M&A documents, financial projections, and personnel matters are common examples. Offline dictation is inherently compliant with “no data leaves the company network” policies because the processing happens on a company-managed machine.
Verifying That Your Dictation Is Truly Offline
If you need to confirm that ScribAI’s Local mode is not transmitting data, here are two ways to verify:
The network disconnect test
- Disconnect your machine from the internet (disable Wi-Fi and unplug ethernet)
- Open ScribAI and ensure Local mode is selected
- Hold the hotkey and dictate a sentence
- Release — the text should appear exactly as it does when connected
If transcription works without internet, the processing is local. If it fails, you may be in Cloud mode — check Settings to confirm.
Network traffic monitoring
For compliance teams that need documented proof: tools like Wireshark or Windows’ built-in Resource Monitor (open Task Manager → Performance tab → Open Resource Monitor → Network) can confirm that ScribAI generates no outbound network traffic during Local mode transcription.
GPU Acceleration: Worth It?
Whisper runs on CPU by default, but an NVIDIA GPU with CUDA support can significantly speed up transcription. Here’s the practical impact:
| Model | CPU time (30-sec audio) | GPU time (30-sec audio) | GPU needed |
|---|---|---|---|
| Tiny | 1–3 sec | ~0.5 sec | Any NVIDIA |
| Base | 3–6 sec | ~1 sec | Any NVIDIA |
| Small | 8–18 sec | 2–4 sec | GTX 1060+ / 6 GB VRAM |
| Medium | 30–60 sec | 5–12 sec | RTX 2070+ / 10 GB VRAM |
For push-to-talk dictation (short bursts of 5–30 seconds), the Tiny and Base models on CPU are fast enough that the GPU difference is barely noticeable in practice. GPU acceleration becomes meaningful if you dictate long continuous passages (1+ minute recordings) or use the Small or Medium models for maximum accuracy.
Troubleshooting Offline Mode
ScribAI says “model not found” or won’t transcribe
The Whisper model needs to be downloaded before offline use. In ScribAI Settings, go to the Speech Engine section and select “Local” mode — you’ll see a download button for each model. Download at least one model (Base recommended for most users). This requires internet access for the initial download only; subsequent use is fully offline.
Offline mode transcription is much slower than expected
Check which model you’ve selected. The Small model can take 10+ seconds per 30 seconds of audio on a mid-range CPU. If speed is more important than maximum accuracy, switch to Base (Settings → Speech Engine → Model size). Also check that no GPU is being shared with a heavy graphics task simultaneously.
Accented speech is less accurate offline than cloud mode
Whisper is generally robust to accents, but Local mode uses the models you’ve downloaded rather than the latest server-side models. If accuracy is noticeably lower, try downloading the Small model instead of Tiny or Base — it handles accent variation better. Alternatively, ScribAI’s Cloud mode (OpenAI API) uses the latest Whisper models and is typically ~5% more accurate.
Frequently Asked Questions
Does ScribAI save recordings to disk?
No. In Local mode, audio is captured directly from your microphone, processed by Whisper in memory, and immediately discarded. It is not written to disk at any point. You can verify this by monitoring your disk writes during a transcription — no audio file will appear in any temp folder.
Can I use offline mode on an air-gapped machine?
Yes, once the Whisper model is downloaded. Download the model while the machine has internet access, then move to the air-gapped environment. ScribAI will function identically with no network connection. Note: product updates, license verification (for Pro), and AI Compose require internet access, but core local transcription does not.
Is faster-whisper the same as the original Whisper?
ScribAI uses faster-whisper, which is a re-implementation of Whisper in C++ that produces the same output as the original Python implementation but runs 3–5× faster. The transcription quality is identical — the speed improvement comes from a more efficient inference engine, not reduced accuracy. It uses the same model weights as the original Whisper.
What happens if the machine runs out of RAM during transcription?
ScribAI will either fall back gracefully (truncate the recording) or show an error. To avoid this, ensure you’re using an appropriate model for your hardware. The Tiny model requires ~200 MB RAM; Base needs ~400 MB. On machines with 4 GB or more of RAM, this is rarely an issue in practice.
Get Offline Dictation in 60 Seconds
Download ScribAI, select Local mode, choose a model. That’s it — fully offline Whisper AI dictation for free.
⬇ Download ScribAI Free (99 MB)