PDF documents hold massive amounts of data
In today's work environment, PDF documents are the go-to solution for exchanging business data. A pixel perfect representation on all devices makes PDF a great replacement for "paper" and it is widely used to exchange business documents, such as Invoices, Purchase Orders, Reports, Work Orders, Price Lists & Product Catalogs, etc. - internally as well as between trading partners.
While PDF documents are easily readable by humans, only a small percentage of them come with machine readable meta data. Accessing the massive amounts of text data stored in PDF documents and converting it to easy-to-handle structured data is a non-trivial task. Unlike other document formats (e.g. XML, HTML), the PDF standard does not provide any hiercharchical tags, which would ease extracting, structuring and understanding the data programatically.
Scrape PDF documents like you would scrape the web
When it comes to extracting data from PDF documents, manually re-keying is often the default solution. Manual data entry is however tedious, error-prone and costly. Luckily, there are better ways of extracting data from PDF documents.
Docparser is a PDF scraper software that allows you to automatically pull data from recurring PDF documents on scale. Like web-scraping (collecting data by crawling the internet), scraping PDF documents is a powerful method to automatically convert semi-structured text documents into structured data.
RefinePro helps organizations manage external data acquisition from sourcing and collecting third party data to loading them into their system. Our customers rely on RefinePro's tool suite and processes to monitor prices from product catalogs or combine data released by governments or regulatory bodies. Unfortunately, those data are often locked in PDF files.
Our data ingestion workflow needs to be flexible to support the variety and the ever-changing format of data sources while lowering the effort to maintain our processes. Docparser is essential to balance both aspects. Docparser API and webhooks let up integrate the PDF extraction task directly in our workflow. When a file format changes, we use Docparser user interface to quickly and easily update a parser settings.
Martin - refinepro.com
The Docparser PDF scraper software
Docparser is a cloud PDF scraper software that provides flexible data extraction and conversion solutions for businesses worldwide. Docparser comes with built-in OCR capabilities and offers ready-to-use templates for many use-cases. Setting up your first document parser takes usually less than 20 minutes and no programming is required.
Docparser allows you extract data fields from fixed positions inside the document with a point and click interface. Extracting data from variable locations is possible thanks to smart filters and pattern matching algorithms. Table row parsing is a snap too, as you can define the column breaks and the overall area that the table resides.
Docparser is helping us extract accurate usable data from 3rd party PDF statements that we can't receive in Excel. Not only was it very easy to setup but the accuracy of the table conversion is second to none which is saving us time and money.
Pieter Nieuwoudt - PSG Konsult Ltd
Integrate, download or send to nearly any endpoint with our api
Docparser offers a wide range on integration options. Documents can be manually uploaded, sent as email attachments, imported through one of our integration partner or with our REST HTTP API. Once the data got parsed from documents, it can be made available in various file formats (Excel, JSON, XML) or automatically sent to any private API or hundreds of software products in real time thanks to our Zapier and Workato integration.