Benchmark Shows OCR Errors Often Stem from Reading Order, Not Image Quality

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A developer ran a benchmark on September 30 to test 14 different image preprocessing methods for OCR on Chinese text. The test used the ImgIng service on different tiers and compared it to tesseract.js. Results showed that a high character error rate was often due to the text columns being read in the wrong sequence, not poor image quality. The issue was confirmed by a secondary metric that ignores character order, and rotating the text correctly resolved the errors.

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