1
LLM Structured Outputs Handbook
A practical handbook for developers using LLMs to get structured outputs.
Nanonets Blog
Nanonets automates messy manual processes including accounts payable, claims processing, order management, and more, and delivers clean data to systems of record like SAP, Salesforce, and more. Trusted by 10,000+ enterprises.
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2
Building a license plate reader from scratch with deep learning
Learn about attention mechanisms and how they are applied for text recognition tasks. We will also use tensorflow attention ocr to train our own number plate reader.
3
Table Detection and Extraction Using Deep Learning
Extract table from image with Nanonets table detection OCR. Learn OCR table Deep Learning methods to detect tables in images or PDF documents.
4
A guide to OCR with Tesseract, OpenCV and Python
Dive deep into OCR with Tesseract, including Pytesseract integration, training with custom data, limitations, and comparisons with enterprise solutions.
5
Automating receipt processing with deep learning
In this article, I cover the theory behind receipt digitization and implement an end-to-end pipeline using OpenCV and Tesseract. I also review a few important papers that do Receipt Digitization using Deep Learning.