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Fix issue: WorkspaceTaskSubType.BROKEN_LINK
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src/content/docs/reference-architecture/diagrams/ai/ai-video-caption.mdx

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@@ -29,7 +29,7 @@ The process begins with capturing the audio from the video source, which is then
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![Figure 1: Automatic captioning on upload](~/assets/images/reference-architecture/ai-auto-caption-architecture-diagrams/ai-auto-caption-architecture-diagram.svg "Figure 1: Automatic captioning on upload")
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1. **Client upload**: Send POST request with both video and audio to API endpoint.
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2. **Audio transcription**: Generate timestamped transcriptions by calling [Workers AI](/workers-ai/) [automatic speech recognition (ARS) model](/workers-ai/models/#automatic-speech-recognition) with audio as input. Use [Workers](/workers/) to convert the output to a supported subtitled format.
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2. **Audio transcription**: Generate timestamped transcriptions by calling [Workers AI](/workers-ai/) [automatic speech recognition (ARS) model](/workers-ai/models/) with audio as input. Use [Workers](/workers/) to convert the output to a supported subtitled format.
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3. **Store subtitles**: Store the subtitle file(s) on [R2](/r2/).
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4. **Store video**: Store the video files on [R2](/r2/).
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5. **Client request**: Send GET requests for video and subtitle(s) to origin. Use global [Cache](/cache/) to increase performance.
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## Related resources
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- [Community project: automatic captioning demo](https://auto-caption.pages.dev/)
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- [Workers AI: Automatic speech recognition (ARS) model](/workers-ai/models/#automatic-speech-recognition)
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- [Workers AI: Automatic speech recognition (ARS) model](/workers-ai/models/)
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- [R2: Object storage for all your data](/r2/)

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