spchcat uses Coqui’s speech-to-text models and TensorFlow to run speech recognition entirely offline on the user’s machine. It reads audio input from WAV files, microphones, or system audio sources and outputs text transcripts. The tool relies on KenLM for language modeling and models trained on Mozilla’s Common Voice dataset, supporting multiple languages through Coqui’s model library.