PDF Text Extractor API

The PDF to Text API is a simple solution for converting PDF files into text or words. It allows users to quickly and easily extract plain text from a PDF, making it a convenient tool for text analysis, data extraction, and document processing.
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About the API: 

The PDF to Text API provides a fast and reliable solution for converting PDF files into plain text or words. This API allows users to extract the text content from a PDF document, making it ideal for various use cases such as text analysis, data extraction, and document processing.

The API utilizes advanced technologies to accurately convert PDF files into text, preserving the format and structure of the original document. The resulting text can be easily manipulated and analyzed, providing users with valuable insights and information.

The API is simple to use and can be integrated into existing workflows, eliminating the need for manual data entry and saving time and resources. The API is designed to handle a wide range of PDF files, including those with complex layouts and formatting, making it a versatile tool for a variety of applications.

In addition to being fast and reliable, the PDF to Text API is also secure and protected, ensuring the privacy and security of user data. With this API, businesses and organizations can quickly and easily extract text from PDF files, streamlining their operations and gaining valuable insights.

 

What this API receives and what your API provides (input/output)?

Pass the publicly accessible PDF URL and receive the text recognized in it. 

 

What are the most common uses cases of this API?

  1. Text Analysis: The API can be used to extract text from PDFs and perform text analysis, such as sentiment analysis, keyword extraction, and topic modeling.

  2. Data Extraction: The API allows users to extract data from PDFs, such as tables, lists, and forms, for use in spreadsheets and databases.

  3. Document Processing: The API can be used to convert PDFs into editable text, making it easier to manipulate and process documents for various purposes.

  4. E-book Conversion: The API can be used to convert PDFs into plain text, making it easier to create e-books and other digital content.

  5. Language Translation: The API can extract text from PDFs written in different languages, making it easier to translate documents for global audiences.

Are there any limitations to your plans?

Besides the number of API calls, there are no other limitations

API Documentation

Endpoints


To use this endpoint, you must upload a PDF file.



                                                                            
POST https://zylalabs.com/api/1341/pdf+text+extractor+api/22014/pdf+extractor
                                                                            
                                                                        

PDF Extractor - Endpoint Features

Object Description
Request Body [Required] File Binary
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                                                                                                                                        {"text":"Lorem ipsum \nLorem ipsum dolor sit amet, consectetur adipiscing \nelit. Nunc ac faucibus odio. \nVestibulum neque massa, scelerisque sit amet ligula eu, congue molestie mi. Praesent ut\nvarius sem. Nullam at porttitor arcu, nec lacinia nisi. Ut ac dolor vitae odio interdum\ncondimentum.  Vivamus  dapibus  sodales  ex,  vitae  malesuada  ipsum  cursus\nconvallis. Maecenas sed egestas nulla, ac condimentum orci.  Mauris diam felis,\nvulputate ac suscipit et, iaculis non est. Curabitur semper arcu ac ligula semper, nec luctus\nnisl blandit. Integer lacinia ante ac libero lobortis imperdiet. Nullam mollis convallis ipsum,\nac accumsan nunc vehicula vitae. Nulla eget justo in felis tristique fringilla. Morbi sit amet\ntortor quis risus auctor condimentum. Morbi in ullamcorper elit. Nulla iaculis tellus sit amet\nmauris tempus fringilla.\nMaecenas mauris lectus, lobortis et purus mattis, blandit dictum tellus.\n\uf0b7\nMaecenas non lorem quis tellus placerat varius. \n\uf0b7\nNulla facilisi. \n\uf0b7\nAenean congue fringilla justo ut aliquam. \n\uf0b7\nMauris id ex erat. Nunc vulputate neque vitae justo facilisis, non condimentum ante\nsagittis. \n\uf0b7\nMorbi viverra semper lorem nec molestie. \n\uf0b7\nMaecenas tincidunt est efficitur ligula euismod, sit amet ornare est vulputate.\nRow 1\nRow 2\nRow 3\nRow 4\n0\n2\n4\n6\n8\n10\n12\nColumn 1\nColumn 2\nColumn 3\nIn non mauris justo. Duis vehicula mi vel mi pretium, a viverra erat efficitur. Cras aliquam\nest ac eros varius, id iaculis dui auctor. Duis pretium neque ligula, et pulvinar mi placerat\net. Nulla nec nunc sit amet nunc posuere vestibulum. Ut id neque eget tortor mattis\ntristique. Donec ante est, blandit sit amet tristique vel, lacinia pulvinar arcu. Pellentesque\nscelerisque fermentum erat, id posuere justo pulvinar ut. Cras id eros sed enim aliquam\nlobortis. Sed lobortis nisl ut eros efficitur tincidunt. Cras justo mi, porttitor quis mattis vel,\nultricies ut purus. Ut facilisis et lacus eu cursus.\nIn eleifend velit vitae libero sollicitudin euismod. Fusce vitae vestibulum velit. Pellentesque\nvulputate lectus quis pellentesque commodo. Aliquam erat volutpat. Vestibulum in egestas\nvelit. Pellentesque fermentum nisl vitae fringilla venenatis. Etiam id mauris vitae orci\nmaximus ultricies. \nCras fringilla ipsum magna, in fringilla dui commodo \na.\nLorem ipsum\nLorem ipsum\nLorem ipsum\n1\nIn eleifend velit vitae libero sollicitudin euismod.\nLorem\n2\nCras fringilla ipsum magna, in fringilla dui commodo\na.\nIpsum\n3\nAliquam erat volutpat. \nLorem\n4\nFusce vitae vestibulum velit. \nLorem\n5\nEtiam vehicula luctus fermentum.\nIpsum\nEtiam vehicula luctus fermentum. In vel metus congue, pulvinar lectus vel, fermentum dui.\nMaecenas ante orci, egestas ut aliquet sit amet, sagittis a magna. Aliquam ante quam,\npellentesque ut dignissim quis, laoreet eget est. Aliquam erat volutpat. Class aptent taciti\nsociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Ut ullamcorper\njusto sapien, in cursus libero viverra eget. Vivamus auctor imperdiet urna, at pulvinar leo\nposuere laoreet. Suspendisse neque nisl, fringilla at iaculis scelerisque, ornare vel dolor. Ut\net  pulvinar  nunc.  Pellentesque  fringilla  mollis  efficitur.  Nullam  venenatis  commodo\nimperdiet. Morbi velit neque, semper quis lorem quis, efficitur dignissim ipsum. Ut ac lorem\nsed turpis imperdiet eleifend sit amet id sapien.\nLorem ipsum dolor sit amet, consectetur adipiscing \nelit. \nNunc ac faucibus odio. Vestibulum neque massa, scelerisque sit amet ligula eu, congue\nmolestie mi. Praesent ut varius sem. Nullam at porttitor arcu, nec lacinia nisi. Ut ac dolor\nvitae odio interdum condimentum. Vivamus dapibus sodales ex, vitae malesuada ipsum\ncursus convallis. Maecenas sed egestas nulla, ac condimentum orci. Mauris diam felis,\nvulputate ac suscipit et, iaculis non est. Curabitur semper arcu ac ligula semper, nec luctus\nnisl blandit. Integer lacinia ante ac libero lobortis imperdiet. Nullam mollis convallis ipsum,\nac accumsan nunc vehicula vitae. Nulla eget justo in felis tristique fringilla. Morbi sit amet\ntortor quis risus auctor condimentum. Morbi in ullamcorper elit. Nulla iaculis tellus sit amet\nmauris tempus fringilla.\nMaecenas mauris lectus, lobortis et purus mattis, blandit \ndictum tellus. \nMaecenas non lorem quis tellus placerat varius. Nulla facilisi. Aenean congue fringilla justo\nut aliquam. Mauris id ex erat. Nunc vulputate neque vitae justo facilisis, non condimentum\nante sagittis. Morbi viverra semper lorem nec molestie. Maecenas tincidunt est efficitur\nligula euismod, sit amet ornare est vulputate.\nIn non mauris justo. Duis vehicula mi vel mi pretium, a viverra erat efficitur. Cras aliquam\nest ac eros varius, id iaculis dui auctor. Duis pretium neque ligula, et pulvinar mi placerat\net. Nulla nec nunc sit amet nunc posuere vestibulum. Ut id neque eget tortor mattis\ntristique. Donec ante est, blandit sit amet tristique vel, lacinia pulvinar arcu. Pellentesque\nscelerisque fermentum erat, id posuere justo pulvinar ut. Cras id eros sed enim aliquam\nlobortis. Sed lobortis nisl ut eros efficitur tincidunt. Cras justo mi, porttitor quis mattis vel,\nultricies ut purus. Ut facilisis et lacus eu cursus.\nIn eleifend velit vitae libero sollicitudin euismod. \nFusce vitae vestibulum velit. Pellentesque vulputate lectus quis pellentesque commodo.\nAliquam  erat volutpat.  Vestibulum  in  egestas  velit. Pellentesque  fermentum nisl  vitae\nfringilla  venenatis.  Etiam  id  mauris  vitae  orci  maximus  ultricies.  Cras  fringilla  ipsum\nmagna, in fringilla dui commodo a.\nEtiam vehicula luctus fermentum. In vel metus congue, pulvinar lectus vel, fermentum dui.\nMaecenas ante orci, egestas ut aliquet sit amet, sagittis a magna. Aliquam ante quam,\npellentesque ut dignissim quis, laoreet eget est. Aliquam erat volutpat. Class aptent taciti\nsociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Ut ullamcorper\njusto sapien, in cursus libero viverra eget. Vivamus auctor imperdiet urna, at pulvinar leo\nposuere laoreet. Suspendisse neque nisl, fringilla at iaculis scelerisque, ornare vel dolor. Ut\net  pulvinar  nunc.  Pellentesque  fringilla  mollis  efficitur.  Nullam  venenatis  commodo\nimperdiet. Morbi velit neque, semper quis lorem quis, efficitur dignissim ipsum. Ut ac lorem\nsed turpis imperdiet eleifend sit amet id sapien.\n"}
                                                                                                                                                                                                                    
                                                                                                    

PDF Extractor - CODE SNIPPETS


    curl --location 'https://zylalabs.com/api/1341/pdf+text+extractor+api/22014/pdf+extractor' \
    --header 'Content-Type: application/x-www-form-urlencoded' \ 
    --form 'image=@"FILE_PATH"'


API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the PDF Text Extractor API simply include your bearer token in the Authorization header.
Headers
Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

Simple Transparent Pricing

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PDF Text Extractor API FAQs

The API returns plain text extracted from the provided PDF file. The output is structured as a JSON object containing an array of strings, where each string represents the text content of a page in the PDF.

The primary field in the response is "pages_text_array," which holds an array of strings. Each string corresponds to the text extracted from a specific page of the PDF, allowing users to access the content in a sequential manner.

The response data is organized in a JSON format. It includes a single key, "pages_text_array," which contains an array of text strings. Each string represents the text extracted from each page of the PDF, maintaining the order of pages.

The API can extract various types of information, including paragraphs, lists, tables, and forms. This makes it suitable for applications like data extraction, text analysis, and document processing.

Users can customize their requests by providing different PDF URLs. However, the API does not currently support additional parameters for filtering or modifying the extraction process.

Typical use cases include text analysis for sentiment or keyword extraction, data extraction for spreadsheets, document processing for editing, e-book conversion, and language translation of PDF documents.

The API utilizes advanced technologies to ensure accurate text extraction from PDFs. It processes various layouts and formats, which helps maintain the integrity of the original document's content.

Users can manipulate the extracted text for various applications, such as conducting analyses, creating reports, or integrating the text into other systems. The structured output allows for easy parsing and processing in programming environments.

General FAQs

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