Transcribe Audio to Text Locally
Setup Whisper on MacOS locally git clone https://github.com/ggerganov/whisper.cpp cd whisper.cpp bash ./models/download-ggml-model.sh large-v3 python -m venv whisper-env source whisper-env/bin/activate pip3 install ane_transformers openai-whisper coremltools ./models/generate-coreml-model.sh large-v3 brew install cmake WHISPER_COREML=1 make -j nano ~/.zshrc source ~/.zshrc Add the function below to ~/.zshrc function transcribe_ru() { if [ -z "$1" ]; then echo "Usage: transcribe_ru <audio_file> [model]" echo "Default model: large-v3-turbo" return 1 fi local input_file="$1" local filename=$(basename "$input_file") local stem="${filename%.*}" local ext="${filename##*.}" local model="${2:-large-v3}" local whisper_path="$HOME/Documents/projects/ai-whisper/whisper.cpp" local whisper_bin="$whisper_path/build/bin/whisper-cli" # Check if model exists if [ ! -f "$whisper_path/models/ggml-${model}.bin" ]; then echo "Error: Model 'ggml-${model}.bin' not found in $whisper_path/models/" return 1 fi # Only convert if not WAV local audio_file="$input_file" if [ "$ext" != "wav" ] && [ "$ext" != "WAV" ]; then echo "Converting ${ext} to 16kHz mono WAV..." audio_file="/tmp/${stem}_16k.wav" ffmpeg -y -i "$input_file" -ar 16000 -ac 1 -c:a pcm_s16le "$audio_file" > /dev/null 2>&1 if [ ! -f "$audio_file" ]; then echo "Error: Audio conversion failed." return 1 fi else echo "Using existing WAV file (assuming 16kHz mono)..." fi echo "Transcribing (Language: Russian, Model: $model, VAD: ON)..." "$whisper_bin" \ -m "$whisper_path/models/ggml-${model}.bin" \ -f "$audio_file" \ -l ru \ -otxt \ -of "${stem}" echo "✅ Done! Output: ${stem}.txt" # Cleanup temp file if created if [ "$audio_file" != "$input_file" ]; then rm "$audio_file" fi } If you need specific version of Xcode look for it on https://xcodereleases.com/ ...