<?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/fbabb2da83c249d3a0a09b3adcc4a4e6&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/fbabb2da83c249d3a0a09b3adcc4a4e6-ab814d7527bfa513.gif</thumbnail_url><duration>173.493</duration><title>Push-to-Talk: Personal Voice Transcription Powered by AI</title><description>In this video, I introduce Push-to-Talk, a lightweight desktop app that transcribes your voice directly into any open window, eliminating the need for copy and paste. There are two modes: Push-to-Talk mode for instant transcription and toggle mode for longer reflections. I also discuss future plans, including offline models for privacy, custom glossaries, and cross-platform support. To get started, simply visit the release page on GitHub, download the zip files, and set up your OpenAI keys. I encourage you to try it out as it&apos;s completely free and only takes a few minutes to set up.

Download: https://github.com/yixin0829/push-to-talk/releases/tag/v0.2.0</description></oembed>