When you create a parser, you choose a Document Processing Type. These types are like templates—they’re pre-configured to work well with specific kinds of documents.

Parser templates are predefined document types that DigiParser knows how to handle. Each template is optimized for that kind of document, so you get better extraction accuracy.

For example, the Invoice template knows to look for invoice numbers, dates, vendor names, amounts, and line items. The Bank statement template is better at extracting transaction tables.

When you create a parser, you’ll see these document types:

• Best for: Any document type, or when you’re not sure which template to use
• How it works: DigiParser automatically detects fields from your documents
• Use when: Your documents don’t match a specific template, or you want full control over field detection

• Best for: Invoices and receipts
• Extracts: Invoice number, date, vendor name, amounts, line items, tax, totals
• Use when: Processing supplier invoices, customer invoices, or receipts

• Best for: Purchase orders
• Extracts: PO number, date, vendor, items ordered, quantities, prices
• Use when: Processing purchase orders from vendors

• Best for: Bank statements and transaction lists
• Extracts: Transaction dates, descriptions, amounts, balances, account information
• Use when: Processing monthly bank statements or transaction reports

• Best for: CVs and resumes
• Extracts: Name, contact information, work experience, education, skills
• Use when: Processing job applications or candidate resumes

• Best for: Salary slips and pay stubs
• Extracts: Employee name, pay period, gross pay, deductions, net pay
• Use when: Processing payroll documents

• Best for: Expense reports and reimbursement forms
• Extracts: Expense dates, categories, amounts, receipts, totals
• Use when: Processing employee expense reports

• Best for: Legal contracts and agreements
• Extracts: Parties, dates, terms, key clauses, signatures
• Use when: Processing contracts or legal documents

• Best for: Various identity documents
• Extracts: Name, date of birth, ID number, address
• Use when: Processing identity verification documents

• Best for: US driver’s licenses
• Extracts: Name, license number, date of birth, address, expiration date
• Use when: Processing US driver’s license documents

• Best for: US passports
• Extracts: Name, passport number, date of birth, nationality, expiration date
• Use when: Processing US passport documents

• Best for: W-2 wage and tax statements
• Extracts: Employee information, wages, taxes withheld, employer details
• Use when: Processing W-2 forms for tax purposes

1. Match your document type: Pick the template that best matches what you’re processing. For example, use Invoice for invoices, not Custom document.

2. When in doubt, use Custom: If you don’t see a good match, use Custom document. DigiParser will still extract data, just with automatic field detection.

3. One parser per document type: If you process several kinds of documents (e.g. invoices and receipts), create separate parsers for each. Each parser can use the right template.

No. The document type is set when you create the parser. If you need a different type, create a new parser with that type and move your workflow there.

• Use specific templates when possible: Templates like Invoice or Bank statement usually give better results than Custom document.
• Test with a sample: Many templates offer sample documents you can try during setup.
• Check your results: After processing a few documents, review the extracted data. If accuracy is low, you might need a different template or to adjust your fields.

• Creating Parsers – Step-by-step guide to creating a parser
• Choosing Document Type – More on picking the right type
• Working with Parsers – Configure fields and settings