<h1> Building a Robust Real-Time Transcription Pipeline in Next.js: STT, Streaming, and Error Recovery </h1> <p>Transcribing video and audio at scale is deceptively complex.
<p>I spent a weekend building a video-to-GIF converter that runs entirely in the browser. No server, no uploads, no ffmpeg binary — just raw JavaScript turning video frames into
<blockquote> <p>📦 Code: github.com/USER/video-qoe-starter — replace before publishing.</p> <h2> TL;DR </h2> <p>We'll instrument an HLS.js player to emit the three QoE metrics that
<p>Server-side video rendering is expensive. FFmpeg on a Railway worker, Vercel Sandbox spin-up times, memory limits — it all adds up fast. But modern browsers now ship <a
<h2> Part 1: The Illusion of Single-Server Simplicity </h2> <p>WebSockets are the foundation of modern interactive web apps. Whether you are synchronizing live cursor movements in
<p>Sanity Mux video playback in Next.js is where most tutorials stop short. The upload side — pushing a file to Mux via Sanity Studio — is well documented. What I rarely see
<h2> TL;DR </h2> <blockquote> <p>A <code>fetch()</code> upload dies when the OS suspends your app, and your JS context is recreated with no memory of it. We are going to build an
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