<?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/9739fc87167c498fae3eb8575e927acd&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/9739fc87167c498fae3eb8575e927acd-92f2e28f5f16c3eb.gif</thumbnail_url><duration>199.387</duration><title>Recall.ai Transcription Modes: Low Latency vs Accuracy</title><description>This Loom explains Recall.ai’s native transcription service and how to choose between low latency and high accuracy modes. Low latency streams near-instant text chunks suitable for use cases like closed captioning. High accuracy can take 3 to 10 seconds to 3 to 10 minutes and supports inputs for language identification, profanity filtering, improved spelling, and keyword identification for industry jargon. The presenter demonstrates both modes in a Google Meet using two Recall AI meeting bots, showing low latency streaming partial output while high accuracy returns a larger, more accurate transcript after about 45 seconds.</description></oembed>