The Problem Nobody Mentions in Benchmarks
Most OCR comparisons focus on accuracy and inference speed. But here's what broke my production pipeline: PaddleOCR takes 8-12 seconds to initialize on CPU, while EasyOCR needs 15-20 seconds. When you're running batch jobs or serverless functions, that startup cost isn't a footnote—it's the entire story.
I hit this building a document processing API. The plan was simple: spin up containers on demand, OCR incoming invoices, return structured data. EasyOCR worked beautifully in local tests. Then I deployed it and watched my cold start times blow past 30 seconds. Users don't wait 30 seconds. They refresh the page, retry the upload, and eventually leave.
This isn't about which library has better CER (Character Error Rate) on ICDAR2015. It's about whether your service can actually respond before the client times out.
Measuring What Actually Matters
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