See DocServant in action
Explore real examples of document extraction across different use cases
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.
Original Document
Extracted Data
| Field | Extracted Value |
|---|---|
| Invoice # | INV-2024-0847 |
| Date | 2024-01-15 |
| Vendor | Acme Corp |
| Subtotal | $1,044.00 |
| Tax | $83.52 |
| Total | $1,127.52 |
Bank Statement Analysis
Parse transaction rows with dates, descriptions, and amounts
Extract transaction history from bank statements including dates, descriptions, amounts, and running balances. Perfect for reconciliation and financial analysis.
Original Document
Extracted Data
| Date | Description | Amount | Balance |
|---|---|---|---|
| 2024-01-03 | Payroll Deposit | +$4,250.00 | $6,250.00 |
| 2024-01-05 | AWS Services | -$147.32 | $6,102.68 |
| 2024-01-08 | Coffee Shop | -$12.50 | $6,090.18 |
| 2024-01-12 | Client Payment | +$2,500.00 | $8,590.18 |
Contract Summarization
Pull key terms, parties, and dates from agreements
Extract party names, effective dates, term lengths, and key contractual terms from service agreements, NDAs, and other legal documents.
Original Document
Extracted Data
| Field | Value |
|---|---|
| Party A | TechFlow Inc. |
| Party B | DataStream LLC |
| Start Date | 2024-02-01 |
| End Date | 2026-01-31 |
| Term Length | 24 months |
| Key Terms | SaaS License, Priority Support, 99.9% SLA |
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.