index-deposition

Deposition indexing transcribes audio or video recordings using faster-whisper, adds timestamps and speaker labels, and outputs searchable transcripts, topic indexes, and key moments. Provide the path to your deposition recording to generate structured litigation support files.

Yes, deposition video files can be processed to generate page:line transcripts. The Skill transcribes the media, organizes the text with timestamps, and outputs a formatted transcript alongside a topic_index.json and key_moments.json for litigation preparation.

Faster-whisper handles the transcription, while optional pyannote.audio provides speaker diarization to identify speakers. Combined with pydub for audio processing, this produces indexed transcripts with speaker labels for litigation review.

Indexing deposition recordings automatically detects and highlights key moments such as admissions, objections, and contradictions. It outputs a key_moments.json file and an interactive testimony timeline visualization to support efficient review.

Indexing deposition recordings outputs a full transcript, a page:line transcript, topic_index.json, key_moments.json, and an interactive testimony timeline visualization. These outputs enable quick topic search and testimony review for litigation support.

Faster-whisper is required for transcription, while pyannote.audio is optional for speaker diarization. Faster-whisper alone transcribes and timestamps the deposition, but adding diarization identifies speakers to produce labeled litigation transcripts.