Extract data from PDF
One tool for text, images, tables and metadata
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Extracting data from a PDF means pulling out its text, images, tables, hyperlinks, bookmarks, and metadata (such as author, title, and creation date) so the content can be reused or analyzed without retyping it by hand. This is especially useful when you need to process invoices, reports, contracts, or research papers, or migrate content into another system.
Our online PDF extractor separates a document into its components: readable text, embedded images, and structured elements such as tables and form fields, so each part can be reviewed or exported on its own. Structured extraction (tables, form fields) and unstructured extraction (plain paragraphs, standalone images) are both supported, so you can pull out exactly the kind of content your document contains.
Extraction accuracy depends on how the PDF was created: documents with a real text layer parse cleanly, while pages that are only scanned images won't yield any text this way. For those, run the file through our searchable PDF / OCR tool first to add a text layer, then extract from the result.
Our web-based PDF extractor is free to use, requires no registration, and works directly in your browser on any desktop or mobile device. Files you upload are stored on our server for 24 hours, and you can delete them immediately after processing if you prefer.
Need just one type of content instead of the full breakdown? Our dedicated text extractor, metadata extractor, and form data extractor give you a simpler, focused workflow for each format.
How it works
Select files
You can select files from the file system, Dropbox and Google Drive.
Press button "EXTRACT"
in order to upload files for processing.
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.