<?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/bcf2808c51784ebd830b86fc708c8130&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/bcf2808c51784ebd830b86fc708c8130-dde4e3c01f073485.gif</thumbnail_url><duration>84.931</duration><title>Audio-to-Text App, Speechmatics Integration Demo 🎧</title><description>Hi, I am Adam, and this is my small Audio to Text single page web app. It is built with React, Vite, Tau, and CSS, and it has sections like hero, features, how it works, try it, about, and contact, plus mobile responsiveness and a working dark mode toggle. The free feature is uploading an audio file, sending it to Speechmatics, then polling every 4 seconds until transcription is ready, usually taking 30 to 40 seconds depending on the length. You can copy the transcript or upload a new file. I included the full code on my GitHub link in the description.</description></oembed>