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What is document classification?

Nanonets

  In this era of information overload, document classification is of considerable importance for the efficient management and use of information and knowledge.      In this article, we will look at the types of document classification and how ML techniques are being increasingly used for this purpose.

Rules 94
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Table Extraction using LLMs: Unlocking Structured Data from Documents

Nanonets

Picture this - you’re drowning in a sea of PDFs, spreadsheets, and scanned documents, searching for that one piece of data trapped somewhere in a complex table. Table extraction refers to the process of identifying, and extracting structured data from tables embedded within documents.

Rules 135
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Top 7 Sensible alternatives for document processing

Nanonets

While Sensible offers robust document processing capabilities, it’s not always the best fit for every business.  While Sensible is a strong contender in the document processing space, it has limitations. 2 Nanonets Customizable workflows with complex unstructured documents Medium to large businesses 4.8

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Top ABBYY FlexiCapture alternatives for document processing

Nanonets

ABBYY is a technology company making document processing software since 1989. Their product lineup includes FineReader PDF for OCR and PDF management, FlexiCapture for enterprise document capture, ABBYY Vantage for intelligent document processing, Timeline for process intelligence, and Mobile Capture for mobile document scanning.

Process 52
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From Start to Scale: Driving Growth Through Seamless Payments Implementation

Speaker: Michael Veatch, Senior Director, Implementations & Ella Aguirre, Director of Solution Consulting

You'll walk away from this session with: An understanding of the critical elements of a payments implementation framework that drives sustainable business growth 📈 An inside look at a digital-first implementation and why it works best for software platforms compared to a DIY documentation approach 🛠 Knowledge of best practices for creating (..)

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Finezza’s Document Identification Framework: Enhancing Lender Accuracy

Finezza

When potential borrowers apply for a loan, they must submit a wide range of documents, from identity documents to financial documents such as bank statements. As the number of loan applicants escalates and the volume of documents grows, lenders face a unique challenge.

Volume 98
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Best LLM APIs for Document Data Extraction

Nanonets

Whether it's analyzing customer feedback, extracting key information from legal documents, or parsing web content, efficient data extraction can provide valuable insights and streamline operations. This approach ensures reliable text extraction from documents that are difficult to process otherwise.

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