AI Book Translation at Scale: 68,000 Covers & The Talent Wars
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Explore an incredible AI-driven project that has translated 68,000 book covers into multiple languages using open-source models on a single workstation. This segment highlights the remarkable efficiency and scale of automated content localization, demonstrating what dedicated AI inference can achieve around the clock.
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Transcript
Your website is Zachvorhis.com. I want to encourage people to go there, check out your work, your book, your videos, all of that. And also, I'll ask you for your Twitter handle again. I want to show you this. Zach, I have been able, you know my Bright Learn book project, I've been running local translations of the book covers and I've achieved almost 1,000 French language book covers. And I I I vibecoded all this using open source models and it's pretty good actually. These French covers. So I'm not using Google, I'm not using Nano Banana, anything, this is all local. And, uh, plus we have a 1,000 Spanish covers and now I'm doing Chinese. So, um, it's slow but it works, man. Making it work. Thank God. You have like a cluster of like, uh, AI, um, inference running to like make those books? Well, I actually only have one workstation dedicated to the book image translations. It's just doing those 24/7. And it takes like a couple of minutes per cover because it has to, you know, OCR its own result and then fix stuff. But at the end of the day, I mean, I'm cranking, ...
