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How to Extract Data From PDF Documents

Nanonets

The Portable Document Format (PDF) is the go to file format for sharing & exchanging business data. In other document formats such as DOC, XLS or CSV, extracting a portion of information is pretty simple. Fortunately , there are solutions like Nanonets , that can extract data from PDF documents efficiently.

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How to convert PDF to XML for free?

Nanonets

Introduction XML stands for Extensible Markup Language and is one of the more popular formats in which data is stored and shared between systems and software. XML is a versatile coding language similar to HTML. Today, PDF documents are widely used across organizations. Looking to convert PDF to XML ?

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How to extract tabular data from PDF documents?

Nanonets

Giphy Organisational workflows today largely depend on searchable PDF documents; especially those that contain lots of tabular data. Most data-rich business documents use tables to organise & present valuable information. Fortunately , there are various tools, like Nanonets , that can extract tables from PDF documents efficiently.

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Why PDFs Aren't Enough To Digitize The Procure-To-Pay Workflow

PYMNTS

Digitizing documents is key to optimizing workflows, but when it comes to the procure-to-pay space, not all digital invoices and purchase orders are created equal. XML invoices, which digitize the data on the invoice, are only a fraction of total invoice volume. What It Means to Be Digital. The Opportunity in Data.

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How to edit scanned documents: 6 quick ways

Nanonets

Scanning paper documents is an essential step in digitization. But what happens when you need to change those documents after scanning them? Whether it's redacting sensitive information, merging files, or converting formats, sometimes you may need to edit your scanned documents.

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How to Rename PDF Files Based on Content

Nanonets

This makes it hard to keep track of documents and identify them. Precious man-hours are spent in renaming and organizing such documents for convenient reference. This allows users to identify files more quickly, and get some information about the documents without having to open them individually.

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The role of AI in data extraction and document processing

Nanonets

Imagine teams spending hours sifting through documents, keying in information – a process prone to errors and inconsistencies. With the help of AI, document workflows can now be automated to extract and transform data into actionable form within seconds. Traditionally, data extraction was a manual, time-consuming process.

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