LocalVoiceAI transcribes audio using OpenAI’s Whisper speech recognition models through theDocumentation Index
Fetch the complete documentation index at: https://mintlify.com/npateriya/LocalVoiceAI/llms.txt
Use this file to discover all available pages before exploring further.
whisper-cpp runtime. On the very first run, the binary automatically downloads the default ggml-small model (~244MB) from HuggingFace into ~/.cache/localvoice/ — no manual setup required. If you want a different balance of speed versus accuracy, you can swap in any compatible ggml-*.bin model file.
Default Model
| Property | Value |
|---|---|
| Filename | ggml-small.bin |
| Size | ~244 MB |
| Location | ~/.cache/localvoice/ggml-small.bin |
| Download | Automatic on first run |
| Source | huggingface.co/ggerganov/whisper.cpp |
Using an Alternative Model
Whisper comes in several sizes. Smaller models transcribe faster but may be less accurate on accented speech or technical vocabulary; larger models are more accurate but take longer to run. Browse the full list of available GGML model files at huggingface.co/ggerganov/whisper.cpp/tree/main. To use a different model:Browse available models on HuggingFace
Visit huggingface.co/ggerganov/whisper.cpp/tree/main and click the model file you want to download (e.g.
ggml-medium.bin).Place the file in the cache directory
Move or copy the downloaded
.bin file into ~/.cache/localvoice/:Model Compatibility
Always download models from theggerganov/whisper.cpp HuggingFace repository to ensure the correct quantised GGML format.