<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/4ae900a61f2b4889bef7e8c0cbf72b53&quot; frameborder=&quot;0&quot; width=&quot;1796&quot; height=&quot;1347&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1347</height><width>1796</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1347</thumbnail_height><thumbnail_width>1796</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/4ae900a61f2b4889bef7e8c0cbf72b53-3b14880e35aaa93a.gif</thumbnail_url><duration>157.27</duration><title>Speechflow AI Transcription and Summarization Setup</title><description>This Loom demonstrates how to use Speechflow AI for transcription, including both local file uploads and transcribing from an online URL. After configuring a .env with an OpenAI API key (or another LLM provider), the presenter sets up the backend and frontend and opens the app at localhost on port 3000. The walkthrough shows using an auto-detect language option, switching to Portuguese, submitting a YouTube URL, and waiting for the transcription to complete. It also highlights options to clear the result, copy the transcription to the clipboard, save it as a text file, and generate a summary based on the transcription.</description></oembed>