See DocServant in action

Explore real examples of document extraction across different use cases

Order Form

Order Form Analysis

Parse order data with items, amounts, and totals

Extract order history from order forms including item descriptions, and total amounts. Perfect for fulfilment and financial analysis.

BeforeUnstructured document (PDF, Word, or scan)
AfterClean, structured data
extracted_data.xlsx
ItemQuantityPriceTotal
Gourmet Chocolate Box1$25.00$25.00
Sugar-Free Candy Pack1$15.00$15.00
Shipping Fee$8.00
Handling Fee$5.00
CV

CV Summarization

Pull key details from any application

Extract contact details, key information, and skills. Makes managing and summarizing large amounts of applications easy.

BeforeUnstructured document (PDF, Word, or scan)
AfterClean, structured data
extracted_data.json
{
  "firstName": "Jonathan",
  "lastName": "Smith",
  "email": "smith@gmail.com",
  "phone": "+123-456-7877",
  "address": "123 New York",
  "role": "Marketing Manager",
  "languages": [
    "English",
    "French"
  ]
}
Invoice

Invoice Processing

Extract line items, totals, and vendor information

Automatically extract invoice numbers, dates, vendor details, line items, tax amounts, and totals from any invoice format. Works with printed and handwritten invoices.

BeforeUnstructured document (PDF, Word, or scan)
AfterClean, structured data
extracted_data.xlsx
DescriptionQtyPriceTotal
Living room design1$ 800$ 800
Bedroom design3$ 600$ 1800
Bathroom design2$ 200$ 400
Kitchen design1$ 1000$ 1000

Not seeing your use case?

DocServant works with any structured document. Custom schemas let you extract exactly the data you need, no matter the format.