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articles/ai-services/content-understanding/video/overview.md

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@@ -102,7 +102,7 @@ The service operates in two stages. The first stage, content extraction, involve
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The first pass is all about extracting a first set of details—who's speaking, where are the cuts, and which faces recur. It creates a solid metadata backbone that later steps can reason over.
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* **Transcription:** Converts conversational audio into searchable and analyzable text-based transcripts in WebVTT format. Sentence-level timestamps are available if `returnDetails=true` is set. Content Understanding supports the full set of Azure AI Speech speech-to-text languages. For sepecifics on the supported languages see [Language and region support](../language-region-support.md) .Additionally, the following transcription details are important to consider:
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* **Transcription:** Converts conversational audio into searchable and analyzable text-based transcripts in WebVTT format. Sentence-level timestamps are available if `returnDetails=true` is set. Content Understanding supports the full set of Azure AI Speech speech-to-text languages. For sepecifics on the supported languages see [Language and region support](../language-region-support.md#Video) .Additionally, the following transcription details are important to consider:
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* **Diarization:** Distinguishes between speakers in a conversation in the output, attributing parts of the transcript to specific speakers.
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* **Multilingual transcription:** Generates multilingual transcripts. Language/locale is applied per phrase in the transcript. Phrases output when `returnDetails=true` is set. Deviating from language detection this feature is enabled when no language/locale is specified or language is set to `auto`.
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