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139 lines
6.2 KiB
HTML
139 lines
6.2 KiB
HTML
<!DOCTYPE html>
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<html lang="en-US">
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<head>
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<meta charset="UTF-8">
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<meta http-equiv="X-UA-Compatible" content="IE=edge">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<title>transraibe</title>
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<meta name="generator" content="Jekyll v3.10.0" />
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<meta property="og:title" content="transraibe" />
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<meta property="og:locale" content="en_US" />
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<meta name="description" content="The friendly multilateral video toolkit built for artists by artists." />
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<meta property="og:description" content="The friendly multilateral video toolkit built for artists by artists." />
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<link rel="canonical" href="http://localhost:4000/videobeaux/programs/utilities/transraibe.html" />
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<meta property="og:url" content="http://localhost:4000/videobeaux/programs/utilities/transraibe.html" />
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{"@context":"https://schema.org","@type":"WebPage","description":"The friendly multilateral video toolkit built for artists by artists.","headline":"transraibe","publisher":{"@type":"Organization","logo":{"@type":"ImageObject","url":"http://localhost:4000/videobeaux/assets/img/videobeaux.png"}},"url":"http://localhost:4000/videobeaux/programs/utilities/transraibe.html"}</script>
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<link rel="stylesheet" href="/videobeaux/assets/css/style.css?v=5e23701ed3967d38bab12937d79f95fae74b2a53">
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<script src="https://cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.3/html5shiv.min.js"></script>
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<!-- link rel="shortcut icon" type="image/x-icon" href="/videobeaux/favicon.ico" -->
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</head>
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<body>
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<div class="wrapper">
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<header>
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<h1><a href="http://localhost:4000/videobeaux/">videobeaux</a></h1>
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<img src="/videobeaux/assets/img/videobeaux.png" alt="Logo" />
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<p>The friendly multilateral video toolkit built for artists by artists.</p>
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<p class="view"><a href="https://github.com/schwwaaa/videobeaux">View the Project on GitHub <small>schwwaaa/videobeaux</small></a></p>
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</header>
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<section>
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<h1 id="transraibe">transraibe</h1>
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<h2 id="description">Description</h2>
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<p>AI-based transcription tool for converting spoken audio within video files into text using configurable speech-to-text models.</p>
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<h2 id="purpose">Purpose</h2>
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<p><code class="language-plaintext highlighter-rouge">transraibe</code> provides automated transcription capabilities inside the videobeaux workflow.<br />
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It enables creators to generate subtitles, caption files, analysis transcripts, or searchable text from any video containing dialogue or narration.<br />
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The tool is optimized for quick turnaround and supports multiple STT (speech-to-text) model options.</p>
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<h2 id="how-it-works">How It Works</h2>
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<ol>
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<li><strong>Model Selection</strong><br />
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You choose the speech-to-text engine via <code class="language-plaintext highlighter-rouge">--stt_model</code>.</li>
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<li><strong>Audio Extraction</strong><br />
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The program extracts the audio track from the input video.</li>
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<li><strong>Transcription Stage</strong><br />
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The extracted audio is processed using the selected model, producing text output.</li>
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<li><strong>Encoding & Output</strong><br />
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The final transcription is embedded or exported depending on the videobeaux pipelines you pair with it (captburn, metadata storage, etc.).</li>
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</ol>
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<h2 id="program-template">Program Template</h2>
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<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>videobeaux -P transraibe \
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-i input.mp4 \
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-o output.mp4 \
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--stt_model VALUE
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</code></pre></div></div>
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<h2 id="arguments">Arguments</h2>
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<ul>
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<li><strong>stt_model</strong> — Speech-to-text model used for transcription (e.g., whisper-small, whisper-medium, whisper-large, or any model supported by your environment).</li>
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</ul>
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<h2 id="real-world-example">Real World Example</h2>
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<div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>videobeaux -P transraibe \
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-i myvideo.mp4 \
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-o transraibe_styled.mp4 \
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--stt_model whisper-medium
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</code></pre></div></div>
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<h2 id="technical-notes">Technical Notes</h2>
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<ul>
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<li>The accuracy of transcription depends heavily on the <code class="language-plaintext highlighter-rouge">stt_model</code> chosen.</li>
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<li>Larger models produce better understanding of accents, noisy audio, and complex phrasing, but require more resources.</li>
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<li>The input audio is automatically normalized and extracted before processing.</li>
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<li>Output format compatibility (SRT, VTT, raw text) may depend on additional videobeaux tooling layered on top of transraibe.</li>
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</ul>
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<h2 id="recommended-usage">Recommended Usage</h2>
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<ul>
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<li>Generating transcript files for interviews, podcasts, and voice-driven content.</li>
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<li>Preparing subtitle text for later burning (via captburn).</li>
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<li>Producing searchable metadata for archival or indexing systems.</li>
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<li>Replacing manual transcription workflows in post-production.</li>
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</ul>
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<h2 id="quality-tips">Quality Tips</h2>
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<ul>
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<li>Use higher-tier models (e.g., whisper-large) for best accuracy on challenging audio.</li>
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<li>For clean studio audio, smaller models are often sufficient and much faster.</li>
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<li>If the transcription seems off, pre-clean audio (denoise, normalize) before running transraibe.</li>
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<li>Consider pairing with captburn to immediately generate styled subtitles.</li>
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</ul>
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</section>
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<footer>
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<p>This project is maintained by <a href="https://github.com/schwwaaa">schwwaaa</a></p>
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<p><small>Hosted on GitHub Pages — Theme by <a href="https://github.com/orderedlist">orderedlist</a></small></p>
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</footer>
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</div>
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</body>
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</html>
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