renamed extract

Extract structured data from documents. Turn invoices, receipts, and contracts into JSON or CSV for accounting and automation.

renamed extract <file|directory> [options]

The extract command uses AI to parse documents and

Examples

Extract invoice data to JSON:

$ renamed extract invoice.pdf --output json

Batch extract to a single CSV:

$ renamed extract ./invoices/*.pdf --output csv --merge --file invoices.csv

Use a specific document schema:

$ renamed extract receipt.pdf --schema receipt

Options

-o, --output <format>

Output format: json, table. Default: json.

-s, --schema <type>

Built-in schema: invoice, receipt, contract, resume.

-f, --schema-file <path>

Path to a custom JSON schema file for field definitions.

-p, --parser-id <id>

Use a saved parser profile from the web dashboard.

-i, --instructions <text>

Custom AI instructions for extraction.

--merge

Combine all extracted data into a single output file.

--pretty

Pretty-print JSON output with indentation.

Built-in Schemas

invoice — Vendor, invoice number, date, amount, line items, tax

receipt — Store, date, total, payment method, items

contract — Parties, effective date, termination date, terms

resume — Name, contact, skills, experience, education

Custom Schema

Define your own fields with a JSON schema file:

custom-schema.json

{
 "fields": {
 "projectName": "string",
 "budget": "currency",
 "deadline": "date",
 "approved": "boolean"
 }
}

Field types: string, number, date, currency, boolean

Output Example

JSON output from an invoice:

{
 "vendor": "Acme Corp",
 "invoiceNumber": "INV-8847",
 "date": "2026-01-15",
 "amount": 2450.00,
 "currency": "USD",
 "lineItems": [
 {
 "description": "Consulting Services",
 "total": 2000.00
 }
 ]
}