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Tesseract OCR vs EasyOCR: What are the differences?
Developers describe Tesseract OCR as "Tesseract Open Source OCR Engine". Tesseract was originally developed at Hewlett-Packard Laboratories Bristol and at Hewlett-Packard Co, Greeley Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. Since 2006 it is developed by Google. On the other hand, EasyOCR is detailed as "Ready-to-use OCR with 40 languages". It is ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai.
Tesseract OCR and EasyOCR can be primarily classified as "Image Analysis API" tools.
Tesseract OCR is an open source tool with 35.5K GitHub stars and 6.59K GitHub forks. Here's a link to Tesseract OCR's open source repository on GitHub.
AWS Rekognition has an OCR feature but can recognize only up to 50 words per image, which is a deal-breaker for us. (see my tweet).
Also, we discovered fantastic speed and quality improvements in the 4.x versions of Tesseract. Meanwhile, the quality of AWS Rekognition's OCR remains to be mediocre in comparison.
We run Tesseract serverlessly in AWS Lambda via aws-lambda-tesseract library that we made open-source.
Pros of EasyOCR
Pros of Tesseract OCR
- Very lightweight library1
- Building training set is easy1
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Cons of EasyOCR
Cons of Tesseract OCR
- Works best with white background and black text1
