Use cases
Multiple industries find our solution helpful
Here are some examples:
Documents, such as mortgage applications, at financial services organizations contain sensitive information that must be analyzed with absolute precision. The smallest of errors could result in the wrongful denial of a loan or a costly overpayment of interest With Papergin, financial organizations can extract text, forms, and tables from documents.
eCommerce shops are generating invoices and receiving orders via email. The app reads, analyzes, and extracts data like address, order number, price, number of items, phone numbers, and similar. Papergin places all the information automatically to a client account and the shipment and delivery of goods are much faster due to faster data processing.
Government institutions receive documents such as filling out forms, statistic reports, real estate lists and reports via email. The tool reads, analyzes and extracts the data such as names, addresses, type ofdocument, address, signature, and all the data that the institutions find important. Papergin automatically formats extracted values and normalizes with existing vocabulary all field names. Values that are mapped can be output in any format or sent via API.
Marketing agencies generate or receive weekly, monthly, quarterly and other reports for every client. The tool reads and extracts data like ROI, reach, impressions, engagements, prices, dates and other information according to the agencies’ needs. The extracted data is automatically placed for each client and is faster accessible, without going through piles of printed documents.
HR Agencies usually use Papergin to classify job applications. After the upload of the PDF document, the tool reads and extracts job position, years of experience, date of applying for the job, name, email and much more. The extracted data is automatically placed for each person inside of any existing platform and the data can be filtered and accessed faster without the need to go through hundreds of emails or PDFs.
GIN is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. The service identifies the language of the text, extracts key phrases, places, people, or brands, understands the sentiment in text, and automatically organizes a collection of text files by topic.
Papergin solution can provide a powerful way to reduce cost and manual effort—and improve your business outcomes.
Papergin uses AI to transform your data and make it more comprehensive, allowing you to eliminate data clutter once and for all.
