thermal yap · Windows 10/11 · CPU dictation

Any Windows PC. Melt local.

Dictation and voiceover run on your CPU - NVIDIA's Parakeet v3 model, no graphics card required. Got an NVIDIA card (GeForce RTX, workstation RTX A-series / Ada, or a data-center A100 / H100)? It unlocks the local AI text studio while your voice stays on the processor. No NVIDIA card just means the AI studio waits - dictation works everywhere. Macs sit this one out.

$ nvidia-smi --query-gpu=name,memory.total --format=csv
NVIDIA GeForce RTX 3060, 12288 MiB
Runs on any Windows 10/11 PCdictation + voiceover on CPU · AI studio: NVIDIA
Windows 10/11 · signed installer · ~12 MB on disk · 0 cloud calls
thermal budgeting · optional AI studio

Box copy lies. Do the VRAM math.

Planning the NVIDIA-powered AI text studio? Match your card against a cleanup model and watch the orchestrator decide: both coexist, auto-evict Whisper, or pick something smaller. Hardware honesty over marketing vapor. Dictation needs none of this - it runs on your CPU.

compatibility check

Is your GPU ready to cook?

NVIDIA only · Win 10/11
Whisper 3 GB
4B 2.6 GB
0 GB6 GB12 GB
BOTH MODELS COEXIST · OVERCLOCKED W
Whisper stays warm. Zero handoff latency between recording and AI cleanup. Tensor-toasted throughput.
12 GB total VRAM3 GB Whisper2.6 GB Gemma 3 · 4B6.4 GB headroom
System requirements

What your rig needs

ComponentMinimumRecommended
OSWindows 10 64-bit (build 19041+)Windows 11
CPUAny modern 4-core x64 CPU (runs dictation + voiceover)8-core for extra headroom
RAM8 GB16 GB
MicrophoneAny input deviceUSB or headset mic
GPU · optional, AI text studio onlyNone for dictation & voiceover · NVIDIA 6 GB+ VRAM (Ampere or newer) for AIRTX 30/40/50-series · 8-12+ GB VRAM
NVIDIA driver525.0+ (GPU features only)570.0+ (req. for Blackwell)
LLM runtimeOllama on 127.0.0.1:11434 (AI studio only)Ollama, latest
Disk~12 MB app + 2-3 GB engine & model cacheSSD
NetworkFirst launch + licensingNone after setup
All releases on GitHub