Do you want to build ML pipeline to automate data extraction from business documents (receipts, invoices, forms)? Then your first step should be to integrate OCR for text extraction. OCR extraction quality must be good, the whole pipeline will depend on initial text data extraction quality. If extracted data will be accurate, this means ML models will be able to run proper classification. I spent time researching available solutions for OCR and I think Mindee docTR currently is one of the best open-source OCR solutions available. Check the video, where I run and show multiple tests.
Mindee docTR GitHub:
https://github.com/mindee/doctr
SRD Receipts dataset:
https://expressexpense.com/blog/free-receipt-images-ocr-machine-learning-dataset/
Sparrow GitHub:
https://github.com/katanaml/sparrow/tree/main/sparrow-ocr
0:00 Introduction
2:41 Mindee docTR
5:27 Test 1
7:43 Test 2
9:12 Test 3
11:58 Test 4
13:19 Test 5
14: 21 Summary
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#OCR #MachineLearning #Python
