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Audio - Video to Text with Speaker Diarization

This app transcribes your audio and video files to text and identifies different speakers.

Tool: stt_audio_video_to_text_with_speaker_diarization. Description: Select this workflow when you need to convert spoken content from audio or video files into written text, with distinct identification of each speaker. This pipeline processes the input media file through a speech-to-text model that also performs speaker diarization, segmenting the transcription by individual speakers. The final output is a comprehensive text transcription, clearly attributing spoken segments to different speakers, which is more structured and informative than a raw transcription.. Use cases: Transcribe an audio recording and identify who said what., Convert a video lecture into text with speaker separation., Get a written record of a meeting with speaker attribution., Process an interview audio to text, distinguishing between interviewer and interviewee., Generate a diarized transcript from a podcast episode.. Capabilities: speech-to-text, audio transcription, video transcription, speaker diarization, speaker identification, multi-speaker transcription, audio processing, video processing, text generation. Domains: meeting minutes, interviews, lectures, podcasts, media analysis, accessibility, content creation, journalism, research

Extract the audio or video file that needs to be transcribed and diarized.

The transcribed text from the audio/video, with speaker diarization.

Select this workflow when you need to convert spoken content from audio or video files into written text, with distinct identification of each speaker. This pipeline processes the input media file through a speech-to-text model that also performs speaker diarization, segmenting the transcription by individual speakers. The final output is a comprehensive text transcription, clearly attributing spoken segments to different speakers, which is more structured and informative than a raw transcription.

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