PDF Scraper For Businesses

Scrape PDF documents to extract & convert relevant unstructured data into structured data that fits right into your organization’s workflows.

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Importance of PDFs

Modern business workflows rely extensively on PDFs for exchanging data as they are light, secure, tamper-proof and a great alternative to paper! Business documents such as Invoices, Bills, Checks, Purchase Orders, Work Orders, Expense Receipts, Reports etc. are primarily saved and shared as PDFs. 

Problem With PDFs

While PDFs are easy to store, save, view and print, they are not machine readable. Editing or extracting data manually from PDF files is very inconvenient, time consuming and isn’t scalable; not to mention error-prone, inefficient and expensive!

PDF scraping as a solution

PDF scrapers offer an efficient, powerful and scalable way to extract large amounts of data stored in PDFs and convert them into machine readable structured data. Data scraped from PDFs can be conveniently processed in automated workflows that greatly improve an organization’s bottom line. 

Companies spanning the Finance, Construction, Healthcare, Insurance, Banking, Hospitality, and Automobile industries use Nanonets to scrape PDFs for valuable data.

The best PDF Scraper for your business

Why Use Nanonets to Scrape Data from PDFs?

Nanonets is a robust & accurate PDF scraper with built-in OCR, AI and ML capabilities. Nanonets PDF scraper is easy to set up and use, offering convenient templates for typical organizational use cases. Scrape PDFs in seconds or train an automation model to scrape data from PDFs at scale. Nanonets handles unstructured data, common data constraints, multi-page documents, tables and multi-line items with ease.

Extracting data from document fields

Trains & works with custom data

Nanonets uses your own data to train models that are best suited to meet the particular needs of your business.

Learns & retrains continuously

To keep up with changes and adapt to unforeseen circumstances, Nanonets allows you to easily re-train your models with new data.

Requires almost no post-processing

Nanonets only extracts relevant data, sorting them into intelligently structured fields.This does away with a lot of time spent in revision and verification.

Requires no programming

No need to hire developers to personalize Nanonets API. Nanonets was built for hassle-free integration. You can readily integrate Nanonets with most CRM, ERP or RPA software.

Take the first step to save time with automation

Construction Company, Minnesota

“Instead of spending hours and hours engineering a workflow to sync key information from thousands of PDF documents to our accounting software, we're able to automate this accurately and spend more time on highly strategic initiatives. We work on a variety of processes collaboratively and Nanonets is part of our daily flow here. Nanonets has been crucial in helping us scale processes as we grow.”

WeWork Labs

“My overall experience with Nanonets has been delightful to say the least. The ease of implementation, administration, and use makes our jobs easier when it comes to digitizing large volumes of agreements, invoices, and other partnership related documents.” 

How to scrape PDFs with Nanonets

  1. Collect a batch of sample documents to serve as a training set
  2. Train the PDF scraper to extract the relevant data from the training set
  3. Test and verify the results
  4. Run the trained PDF scraper on real documents
  5. Download the extracted data as a CSV, Excel, XML or JSON output

The Expert in Data Extraction from PDFs

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