Extract data from PDF

Extract images from PDF. Extract text from PDF.

The following not-downloaded results are available:


    

Your opinion is important to us

In general, are you satisfied with the work of the application and the result of the work?

Files uploading...

Send result to:

Drop files

Or choose file on computer

A searchable PDF file, also known as an OCR (Optical Character Recognition) PDF, is a digital document that contains both scanned images of the pages of the original document and the recognized text obtained from those scans. This recognition process allows you to search and highlight text in a PDF file just as you would in a regular text document.

Here's how it usually works:

Scanning: First, the PDF document is scanned into a digital image format. This scanned image is essentially a document page image.

Optical Character Recognition (OCR): Next, OCR software is used to analyze the scanned images and recognize any text characters that appear in them. This software identifies individual characters or words and converts them into machine-readable text.

Adding a text layer: The recognized text is then added as a hidden text layer to the PDF document. This text layer remains invisible to the viewer, but is accessible to search engines and text selection tools.

Combining text and images: OCR-processed text is combined with original scanned images to create a searchable PDF file that contains both a visual representation of the document and the underlying textual data.

Advantages of searchable PDF files: searchability, accessibility for people with visual impairments,

text indexing by search engines and others.

data extraction: Companies can extract structured data from documents such as invoices or forms to automate data entry processes.

It is important to note that OCR quality and text recognition accuracy may vary depending on factors such as the quality of the original document, the OCR software used, and the language of the text. Advanced OCR software can handle multiple languages and improve accuracy using machine learning techniques, making searchable PDFs a valuable tool for document management and information retrieval.

Welcome to our web-based application for converting scanned PDFs to searchable! Whether you're using a computer or a mobile device, our convenient platform provides searchable PDF conversion across all operating systems.

Our free web software with no registration and no code verification supports text recognition in up to 32 languages.

Imagine the efficiency of converting up to 1 file in one pass! We understand the importance of resource management, which is why our web application has an overall file size limit of 32 MB per pass. This ensures that you can convert large amounts of data while maintaining optimal performance. Converting large searchable PDFs can take several hours, so we've included a progress bar to let you know how long you'll have to wait for the conversion to complete.

Although your files are stored on our server for 24 hours, we value your privacy, so we allow you to delete files immediately after processing.

Experience the convenience of our application, which is available for free and is available on any desktop or mobile operating system.

How it works

1

Select files

You can select files from the file system, Dropbox and Google Drive.

2

Press button "EXTRACT"

in order to upload files for processing.

3

Wait for completion

It will take from 10 seconds to several minutes depending on the number and size of the files.

FAQ

What is a PDF extractor?

A PDF extractor is a tool that parses and extracts data from PDF documents, including text, images, tables, and metadata.

What types of data can be extracted using a PDF extractor?

A PDF extractor can extract various types of data from PDFs, including text, images, tables, hyperlinks, bookmarks, metadata (such as author, title, and creation date), and sometimes structured data from forms.

Is there a difference between structured and unstructured data extraction from PDFs?

Structured data extraction involves pulling information from tables and forms, while unstructured data extraction involves extracting content like paragraphs of text or images that do not fit a predefined structure.

Are there any limitations to using PDF extractors?

PDF extractors might face challenges with complex layouts, non-standard fonts, low-resolution images, and highly structured documents. Accuracy might be compromised in such cases.