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How to extract tabular data from PDF documents?

Nanonets

(Learn more about Accounting OCR ) Almost no post-processing required Works with non-English or multiple languages Wide choice of integration options Cons Can’t handle very high volume spikes! Simply upload your document and download the table output in an Excel, CSV, XML or JSON format. Automated table extraction. Built-in OCR.

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How to use web scraping for lead generation and sales?

Nanonets

The following lead generation methods are classified as cold outreach strategies: Purchasing a database : Some organizations specialize in collecting and maintaining business databases. They usually maintain records for multiple contacts within an organization, and you can purchase this database depending on your requirements.

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Form Automation - OCR for Forms & Automated Forms Processing

Nanonets

Form automation is typically achieved using specialized software tools that automate the data entry process by extracting data from various sources, such as existing databases or spreadsheets. Limited scalability : Manual data entry is not scalable, and businesses may struggle to keep up with increasing volumes of forms.

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The role of AI in data extraction and document processing

Nanonets

By structured, we mean that it has been arranged in columns and rows so it can be easily imported into another program or database. Data extraction can refer to scraping information from web pages or emails but includes any other type of text-based file such as spreadsheets (Excel), documents (Word), XML , PDFs, etc.

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What is Resume Parsing? The Complete Guide

Nanonets

It is necessary for them to build a database of resumes. The resume parser software analyzes resumes, extracts the required information, and allows the information to go into a database with a unique entry for each resume. xls), JSON, or XML. In a year, a company may be receiving thousands of resumes from aspiring candidates.

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How to edit scanned documents: 6 quick ways

Nanonets

Converting large volumes of scanned files can also be tedious, as each document needs to be processed individually. JSON, XML, CSV) for further editing or integration with other systems One of Nanonets's standout features is its scalability. It can handle high volumes of documents, processing thousands of pages per hour.

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What is Resume Parsing? The Complete Guide

Nanonets

It is necessary for them to build a database of resumes. The resume parser software analyzes resumes, extracts the required information, and allows the information to go into a database with a unique entry for each resume. xls), JSON, or XML. In a year, a company may be receiving thousands of resumes from aspiring candidates.

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