Local InferenceOpen SourceFreeActiveLocal hardware· intermediate · ~25 min setup
Local Voice-to-Text that Replaces WisprFlow
Run fully local dictation with whisper.cpp instead of paying for WisprFlow.
Run this workflow
See exactly what it produces before you build it.
Intended Use
Anyone dictating notes/code daily who currently pays for WisprFlow and wants to drop the subscription.
Not for
- Real-time captioning with sub-100ms latency
- Streaming long-form audio (>10 min), Whisper batches better
Replaces WisprFlow
The Stack
Tested Against
whisper.cpp@1.6Side effects & data flow
- Network
- none, local only
- Writes
- ./transcript.txt
- Credentials
- none required
Steps
- 1
Build whisper.cpp
Clone and compile the project, then download a quantized model.
git clone https://github.com/ggerganov/whisper.cpp && cd whisper.cpp && make - 2
Transcribe a sample
Run whisper on a short WAV and check the output.
./main -m models/ggml-base.en.bin -f samples/jfk.wav > transcript.txt
Eval, 1 fixture
Last passed: verified 10d agosmoke-transcribecontainstimeout 120s · max $0Expected:
ask not
Results
Saves $12/month; works offline with no usage caps.