ThePlasmak

Local speech-to-text using faster-whisper. 4-6x faster than OpenAI Whisper with identical accuracy; GPU acceleration enables ~20x realtime transcription. SRT/VTT/TTML/CSV subtitles, speaker diarization, URL/YouTube input, batch processing with ETA, transcript search, chapter detection, per-file language map.

Speech-to-text with word-level timestamps, speaker diarization, and forced alignment using WhisperX. Built on faster-whisper with batched inference for 70x realtime speed.

Unified speech-to-text skill. Use when the user asks to transcribe audio or video, generate subtitles, identify speakers, translate speech, search transcripts, diarize meetings, or perform any speech-to-text task. Also use when a voice message or audio file appears in chat and the user's intent to transcribe it is very clear.

Local speech-to-text using NVIDIA Parakeet TDT (NeMo). 600M-param multilingual ASR with automatic punctuation/capitalization, word-level timestamps, and ~3380x realtime speed on GPU. Supports 25 European languages with auto-detection, long-form audio up to 3 hours, streaming output, SRT/VTT subtitles, batch processing, and URL/YouTube input.