David Ryu

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Audio - Video to Text with Speaker Diarization

Split Text

High-Quality Multilingual Translation

Loop / Reduce

Transcription Test

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

Large text split into N segments of 1,000 words each

This prompt allows a highly skilled translator to provide a high-quality translation from one specified language to another. The translator is instructed to carefully read and understand the original text, consider the context and cultural nuances, and produce a translation that maintains the original meaning, tone, and style. The final output should be a naturally translated text that reads smoothly and accurately in the target language.

Tool: transcription_test_audio_video_diarization_split_loop. Description: Select this workflow when you need to transcribe audio or video files, identify different speakers, and then process the transcribed text in segments through a looping mechanism. This pipeline first transcribes the input media with speaker diarization, then splits the resulting text, and finally applies a loop/reduce operation on the segmented text. The output is a processed text result, distinct from raw transcription by its structured segmentation and iterative refinement.. Use cases: Transcribe a meeting recording with multiple speakers and then analyze each speaker's contributions iteratively., Process a long video lecture, identify speaker segments, and apply a summarization loop to each segment., Convert an audio interview to text, separate speaker turns, and then perform a detailed analysis on each part., Extract spoken content from a media file, attribute it to speakers, and then refine the text through a multi-pass algorithm.. Capabilities: audio transcription, video transcription, speaker diarization, text splitting, iterative processing, looping, text reduction, multi-step text analysis, structured text output. Domains: media analysis, meeting minutes, lecture processing, interview analysis, content moderation, research, education, journalism

Extract the audio or video file content for transcription.

Extract any additional text input required for the loop/reduce operation.

The processed text after transcription, speaker diarization, splitting, and looping/reducing.

Select this workflow when you need to transcribe audio or video files, identify different speakers, and then process the transcribed text in segments through a looping mechanism. This pipeline first transcribes the input media with speaker diarization, then splits the resulting text, and finally applies a loop/reduce operation on the segmented text. The output is a processed text result, distinct from raw transcription by its structured segmentation and iterative refinement.

Transcription Test

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