Extract Text From Documents (PDF, DOC, XLS, PPT, Etc)

docsToText

A JavaScript library that extract text from documents without server upload in browser

You can extract text from doc, docx, xls, xlsx, ppt, pptx, pdf, hwp files. Take a look at the following example. It can be extracted very simply.

Parse on remote url download

example

const docToText = new DocToText();
const url = 'https://docs-extractor.com/sample/sample.docx';

// single file extract to text
docToText.extractToText(url, 'docx')
    .then(function (text) {
        // text
    }).catch(function (error) {
        // error
    });

Parse on local upload file

const file = files[0];
const {name} = file;
const ext = name.toLowerCase().substring(name.lastIndexOf('.') + 1);

const docToText = new DocToText();

// single file extract to text
docToText.extractToText(file, ext)
    .then(function (text) {
        // text
    }).catch(function (error) {
        // error
    });

Parse on remote zip url download

const docToText = new DocToText();
const url = 'https://docs-extractor.com/sample/sample.zip';

// single zip file extract to text
docToText.extractZipToText(url)
    .then(function (text) {
        // text
    }).catch(function (error) {
        // error
    });

Parse on local upload zip file

const docToText = new DocToText();
const url = 'https://docs-extractor.com/sample/sample.zip';

const file = files[0];
const docToText = new DocToText();

// single zip file extract to text
docToText.extractZipToText(file)
    .then(function (text) {
        // text
    }).catch(function (error) {
        // error
    });

Support Browser

Internet Explorer 11+ / Edge / Chrome / Safari / Firefox

Download Details:

Author: bshopcho

Demo: https://www.docs-extractor.com/

Source Code: https://github.com/bshopcho/docsToText

#javascript

What is GEEK

Buddha Community

Introduction to Structured Query Language SQL pdf

SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.

Models for SQL exist. In any case, the SQL that can be utilized on every last one of the major RDBMS today is in various flavors. This is because of two reasons:

1. The SQL order standard is genuinely intricate, and it isn’t handy to actualize the whole standard.

2. Every database seller needs an approach to separate its item from others.

Right now, contrasts are noted where fitting.

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How to Extract Text From PDF Files in All Formats.

Do you need to extract text from different files such as pdfs and Word files?

This quick tutorial shows how sort files by type, and then extract text from PDF files. I downloaded two fake resumes in pdf format from Overleaf to demonstrate how this code works. I am not going to cover how to extract text from Word documents. You can download docxpy Python package and use it to extract text from Word files. Feel free to contact me at anna@sakura-ai.com if you have any questions or need help parsing documents.

The main challenge in extracting text from PDF files is that they have different formats:

• PDF files are either 8-bit binary files or 7-bit ASCII text files (using ASCII-85 encoding).

• Every line in a PDF can contain up to 255 characters.

• Every line ends with a carriage return, a line feed, or a carriage return followed by a line feed (depending upon the application or platform used to create the PDF file).

• PDF is case sensitive.

• The file format is completely independent of the platform that it is viewed or created on. Files can be moved back and forth between Macs, Windows system, Linux systems,… When FTP-ing a PDF file, it does make sense to compress it, to avoid data corruption by some outdated web system that the file needs to go through.

• Scanned PDFs are stored as images

#text-extraction #python3 #pdf-text-extractor #pdf

Extract Text From Documents (PDF, DOC, XLS, PPT, Etc)

docsToText

A JavaScript library that extract text from documents without server upload in browser

You can extract text from doc, docx, xls, xlsx, ppt, pptx, pdf, hwp files. Take a look at the following example. It can be extracted very simply.

Parse on remote url download

example

const docToText = new DocToText();
const url = 'https://docs-extractor.com/sample/sample.docx';

// single file extract to text
docToText.extractToText(url, 'docx')
    .then(function (text) {
        // text
    }).catch(function (error) {
        // error
    });

Parse on local upload file

const file = files[0];
const {name} = file;
const ext = name.toLowerCase().substring(name.lastIndexOf('.') + 1);

const docToText = new DocToText();

// single file extract to text
docToText.extractToText(file, ext)
    .then(function (text) {
        // text
    }).catch(function (error) {
        // error
    });

Parse on remote zip url download

const docToText = new DocToText();
const url = 'https://docs-extractor.com/sample/sample.zip';

// single zip file extract to text
docToText.extractZipToText(url)
    .then(function (text) {
        // text
    }).catch(function (error) {
        // error
    });

Parse on local upload zip file

const docToText = new DocToText();
const url = 'https://docs-extractor.com/sample/sample.zip';

const file = files[0];
const docToText = new DocToText();

// single zip file extract to text
docToText.extractZipToText(file)
    .then(function (text) {
        // text
    }).catch(function (error) {
        // error
    });

Support Browser

Internet Explorer 11+ / Edge / Chrome / Safari / Firefox

Download Details:

Author: bshopcho

Demo: https://www.docs-extractor.com/

Source Code: https://github.com/bshopcho/docsToText

#javascript

Creating PDF Invoices in Python with pText

Introduction

The Portable Document Format (PDF) is not a WYSIWYG (What You See is What You Get) format. It was developed to be platform-agnostic, independent of the underlying operating system and rendering engines.

To achieve this, PDF was constructed to be interacted with via something more like a programming language, and relies on a series of instructions and operations to achieve a result. In fact, PDF is based on a scripting language - PostScript, which was the first device-independent Page Description Language.

In this guide, we’ll be using pText - a Python library dedicated to reading, manipulating and generating PDF documents. It offers both a low-level model (allowing you access to the exact coordinates and layout if you choose to use those) and a high-level model (where you can delegate the precise calculations of margins, positions, etc to a layout manager).

We’ll take a look at how to create a PDF invoice in Python using pText.

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Python Packages for PDF Data Extraction

I am a Data Scientist with 3K Technologies, a global Systems Integration and Services firm. As part of a recent project, we had to parse resumes, extract and store information from resumes in a structured format since resumes are often uploaded or sent via email in various formats like PDFs, docx, etc.
Generally, for a PDF format, we need to extract text from PDF for further analysis. PDF resumes are created in various ways. For example, some job seekers create a resume in word format and then save them as PDF, while some create it in LATEX, or make use of online CV templates. Overall, we should be able to parse all these types of resumes and extract every text without any loss of information.

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