PDF OCR Scanner Guide: Extract Data from PDFs

The text discusses the need for PDF OCR scanners to extract and organize information from PDFs automatically. It highlights the importance of using AI-based solutions like Nanonets, which offers higher accuracy, greater flexibility, post-processing, and a broad set of integrations. The text covers various use-cases such as tax auditing, invoice information extraction, recruitment/hiring process, and document analysis and reporting. It also explains how to build an in-house PDF scanner using OCR and deep learning techniques, including data curation and pre-processing, data loading, OCR and deep learning model training, and post-processing. Additionally, it introduces Nanonets as a cloud-based PDF scanning solution with customizable rules, post-processing, fraud checks, table extraction, and ability to extract text from poorly scanned images.

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