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How I built an AI video dubbing pipeline that cut costs by 70% and fixed a nightmare manual workflow (2,500+ hours processed so far)
The Context I work at an IIT Madras lab, and we recently took on a massive Ministry project: dubbing around 4,000 hours of video content into 11 regional Indian languages (plus English). Initially, the project was being done manually. It was an operational bottleneck. The Problem: Manual Chaos High Cost: We were paying INR 1,000 per hour of video for manual dubbing. Poor Quality Control: Reviewing the output was a nightmare. We had issues with inconsistent translations, genuine ...
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