How I built an automated YouTube video pipeline for my SaaS using Python, edge-tts, and moviepy
To grow it I decided to start a faceless YouTube channel. Step 2: AI voiceover import edge_tts comm = edge_tts.Communicate(script, voice='en-US-AndrewNeural', rate='+8%') await comm.save('audio.mp3') Completely free. Andrew Neural is the best voice I found for this style of content.
- ▪To grow it I decided to start a faceless YouTube channel.
- ▪Step 2: AI voiceover import edge_tts comm = edge_tts.Communicate(script, voice='en-US-AndrewNeural', rate='+8%') await comm.save('audio.mp3') Completely free.
- ▪Andrew Neural is the best voice I found for this style of content.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 4004749) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Manpreet Brar Posted on Jul 26 How I built an automated YouTube video pipeline for my SaaS using Python, edge-tts, and moviepy #python #buildinpublic #webdev #productivity How I built an automated YouTube video pipeline for my SaaS using Python, edge-tts, and moviepy I run a niche tool called WhaleTrack (whaletrack.app) — it tracks big bets on Polymarket in real time. To grow it I decided to start a faceless YouTube channel. No camera, no editing software, no designer. Just code.
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