Request
curl -X POST https://api.iterationlayer.com/document-extraction/v1/extract \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"files": [
{
"type": "url",
"name": "w-4.pdf",
"url": "https://example.com/documents/w-4-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "employee_name",
"type": "TEXT",
"description": "Employee full name"
},
{
"name": "social_security_number",
"type": "TEXT",
"description": "Employee Social Security number"
},
{
"name": "address",
"type": "ADDRESS",
"description": "Employee address"
},
{
"name": "filing_status",
"type": "TEXT",
"description": "Selected filing status"
},
{
"name": "dependents_amount",
"type": "CURRENCY_AMOUNT",
"description": "Step 3 dependent and other credits amount"
},
{
"name": "other_income",
"type": "CURRENCY_AMOUNT",
"description": "Step 4(a) other income"
},
{
"name": "deductions",
"type": "CURRENCY_AMOUNT",
"description": "Step 4(b) deductions"
},
{
"name": "extra_withholding",
"type": "CURRENCY_AMOUNT",
"description": "Step 4(c) extra withholding"
},
{
"name": "is_signed",
"type": "BOOLEAN",
"description": "Whether the employee signature is present"
},
{
"name": "signature_date",
"type": "DATE",
"description": "Date signed"
}
]
}
}'Response
{
"success": true,
"data": {
"employee_name": {
"value": "Employee Name",
"confidence": 0.97,
"citations": [
"EMPLOYEE NAME"
]
},
"social_security_number": {
"value": "Social Security Number",
"confidence": 0.97,
"citations": [
"SOCIAL SECURITY NUMBER"
]
},
"address": {
"value": {
"street": "100 Market Street",
"city": "Berlin",
"postal_code": "10115",
"country": "DE"
},
"confidence": 0.97,
"citations": [
"ADDRESS"
]
},
"filing_status": {
"value": "Filing Status",
"confidence": 0.97,
"citations": [
"FILING STATUS"
]
},
"dependents_amount": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"other_income": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"deductions": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"extra_withholding": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"is_signed": {
"value": true,
"confidence": 0.97,
"citations": [
"IS SIGNED"
]
},
"signature_date": {
"value": "2026-04-15",
"confidence": 0.97,
"citations": [
"15 Apr 2026"
]
}
}
}Request
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractDocument({
"files": [
{
"type": "url",
"name": "w-4.pdf",
"url": "https://example.com/documents/w-4-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "employee_name",
"type": "TEXT",
"description": "Employee full name"
},
{
"name": "social_security_number",
"type": "TEXT",
"description": "Employee Social Security number"
},
{
"name": "address",
"type": "ADDRESS",
"description": "Employee address"
},
{
"name": "filing_status",
"type": "TEXT",
"description": "Selected filing status"
},
{
"name": "dependents_amount",
"type": "CURRENCY_AMOUNT",
"description": "Step 3 dependent and other credits amount"
},
{
"name": "other_income",
"type": "CURRENCY_AMOUNT",
"description": "Step 4(a) other income"
},
{
"name": "deductions",
"type": "CURRENCY_AMOUNT",
"description": "Step 4(b) deductions"
},
{
"name": "extra_withholding",
"type": "CURRENCY_AMOUNT",
"description": "Step 4(c) extra withholding"
},
{
"name": "is_signed",
"type": "BOOLEAN",
"description": "Whether the employee signature is present"
},
{
"name": "signature_date",
"type": "DATE",
"description": "Date signed"
}
]
}
});Response
{
"success": true,
"data": {
"employee_name": {
"value": "Employee Name",
"confidence": 0.97,
"citations": [
"EMPLOYEE NAME"
]
},
"social_security_number": {
"value": "Social Security Number",
"confidence": 0.97,
"citations": [
"SOCIAL SECURITY NUMBER"
]
},
"address": {
"value": {
"street": "100 Market Street",
"city": "Berlin",
"postal_code": "10115",
"country": "DE"
},
"confidence": 0.97,
"citations": [
"ADDRESS"
]
},
"filing_status": {
"value": "Filing Status",
"confidence": 0.97,
"citations": [
"FILING STATUS"
]
},
"dependents_amount": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"other_income": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"deductions": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"extra_withholding": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"is_signed": {
"value": true,
"confidence": 0.97,
"citations": [
"IS SIGNED"
]
},
"signature_date": {
"value": "2026-04-15",
"confidence": 0.97,
"citations": [
"15 Apr 2026"
]
}
}
}Request
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_document(**{
"files": [
{
"type": "url",
"name": "w-4.pdf",
"url": "https://example.com/documents/w-4-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "employee_name",
"type": "TEXT",
"description": "Employee full name"
},
{
"name": "social_security_number",
"type": "TEXT",
"description": "Employee Social Security number"
},
{
"name": "address",
"type": "ADDRESS",
"description": "Employee address"
},
{
"name": "filing_status",
"type": "TEXT",
"description": "Selected filing status"
},
{
"name": "dependents_amount",
"type": "CURRENCY_AMOUNT",
"description": "Step 3 dependent and other credits amount"
},
{
"name": "other_income",
"type": "CURRENCY_AMOUNT",
"description": "Step 4(a) other income"
},
{
"name": "deductions",
"type": "CURRENCY_AMOUNT",
"description": "Step 4(b) deductions"
},
{
"name": "extra_withholding",
"type": "CURRENCY_AMOUNT",
"description": "Step 4(c) extra withholding"
},
{
"name": "is_signed",
"type": "BOOLEAN",
"description": "Whether the employee signature is present"
},
{
"name": "signature_date",
"type": "DATE",
"description": "Date signed"
}
]
}
})Response
{
"success": true,
"data": {
"employee_name": {
"value": "Employee Name",
"confidence": 0.97,
"citations": [
"EMPLOYEE NAME"
]
},
"social_security_number": {
"value": "Social Security Number",
"confidence": 0.97,
"citations": [
"SOCIAL SECURITY NUMBER"
]
},
"address": {
"value": {
"street": "100 Market Street",
"city": "Berlin",
"postal_code": "10115",
"country": "DE"
},
"confidence": 0.97,
"citations": [
"ADDRESS"
]
},
"filing_status": {
"value": "Filing Status",
"confidence": 0.97,
"citations": [
"FILING STATUS"
]
},
"dependents_amount": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"other_income": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"deductions": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"extra_withholding": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"is_signed": {
"value": true,
"confidence": 0.97,
"citations": [
"IS SIGNED"
]
},
"signature_date": {
"value": "2026-04-15",
"confidence": 0.97,
"citations": [
"15 Apr 2026"
]
}
}
}Request
package main
import il "github.com/iterationlayer/sdk-go"
func main() {
client := il.NewClient("YOUR_API_KEY")
result, err := client.ExtractDocument(il.ExtractDocumentRequest{
Files: []il.FileInput{
il.FileInput{
Type: "url",
Name: "w-4.pdf",
Url: "https://example.com/documents/w-4-sample.pdf",
},
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "employee_name",
Type: "TEXT",
Description: "Employee full name",
},
il.TextFieldConfig{
Name: "social_security_number",
Type: "TEXT",
Description: "Employee Social Security number",
},
il.AddressFieldConfig{
Name: "address",
Type: "ADDRESS",
Description: "Employee address",
},
il.TextFieldConfig{
Name: "filing_status",
Type: "TEXT",
Description: "Selected filing status",
},
il.CurrencyAmountFieldConfig{
Name: "dependents_amount",
Type: "CURRENCY_AMOUNT",
Description: "Step 3 dependent and other credits amount",
},
il.CurrencyAmountFieldConfig{
Name: "other_income",
Type: "CURRENCY_AMOUNT",
Description: "Step 4(a) other income",
},
il.CurrencyAmountFieldConfig{
Name: "deductions",
Type: "CURRENCY_AMOUNT",
Description: "Step 4(b) deductions",
},
il.CurrencyAmountFieldConfig{
Name: "extra_withholding",
Type: "CURRENCY_AMOUNT",
Description: "Step 4(c) extra withholding",
},
il.BooleanFieldConfig{
Name: "is_signed",
Type: "BOOLEAN",
Description: "Whether the employee signature is present",
},
il.DateFieldConfig{
Name: "signature_date",
Type: "DATE",
Description: "Date signed",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}Response
{
"success": true,
"data": {
"employee_name": {
"value": "Employee Name",
"confidence": 0.97,
"citations": [
"EMPLOYEE NAME"
]
},
"social_security_number": {
"value": "Social Security Number",
"confidence": 0.97,
"citations": [
"SOCIAL SECURITY NUMBER"
]
},
"address": {
"value": {
"street": "100 Market Street",
"city": "Berlin",
"postal_code": "10115",
"country": "DE"
},
"confidence": 0.97,
"citations": [
"ADDRESS"
]
},
"filing_status": {
"value": "Filing Status",
"confidence": 0.97,
"citations": [
"FILING STATUS"
]
},
"dependents_amount": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"other_income": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"deductions": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"extra_withholding": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"is_signed": {
"value": true,
"confidence": 0.97,
"citations": [
"IS SIGNED"
]
},
"signature_date": {
"value": "2026-04-15",
"confidence": 0.97,
"citations": [
"15 Apr 2026"
]
}
}
}Template
{
"name": "Extract W-4 Data",
"nodes": [
{
"parameters": {
"content": "## Extract W-4 Data\n\nTax and finance teams use this recipe to extract W-4 fields from official forms into structured JSON for review, routing, and downstream filing preparation.\n\n**Note:** This workflow uses the Iteration Layer community node (`n8n-nodes-iterationlayer`). Install it via Settings > Community Nodes on self-hosted n8n, or add it directly on n8n Cloud with Verified Community Nodes enabled.",
"height": 280,
"width": 500,
"color": 2
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
200,
40
],
"id": "extract-w-4-data-overview",
"name": "Overview"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "extract-w-4-data-trigger",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "documentExtraction",
"schemaInputMode": "rawJson",
"schemaJson": "{\n \"fields\": [\n {\n \"name\": \"employee_name\",\n \"type\": \"TEXT\",\n \"description\": \"Employee full name\"\n },\n {\n \"name\": \"social_security_number\",\n \"type\": \"TEXT\",\n \"description\": \"Employee Social Security number\"\n },\n {\n \"name\": \"address\",\n \"type\": \"ADDRESS\",\n \"description\": \"Employee address\"\n },\n {\n \"name\": \"filing_status\",\n \"type\": \"TEXT\",\n \"description\": \"Selected filing status\"\n },\n {\n \"name\": \"dependents_amount\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Step 3 dependent and other credits amount\"\n },\n {\n \"name\": \"other_income\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Step 4(a) other income\"\n },\n {\n \"name\": \"deductions\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Step 4(b) deductions\"\n },\n {\n \"name\": \"extra_withholding\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Step 4(c) extra withholding\"\n },\n {\n \"name\": \"is_signed\",\n \"type\": \"BOOLEAN\",\n \"description\": \"Whether the employee signature is present\"\n },\n {\n \"name\": \"signature_date\",\n \"type\": \"DATE\",\n \"description\": \"Date signed\"\n }\n ]\n}",
"files": {
"fileValues": [
{
"fileInputMode": "url",
"fileName": "w-4.pdf",
"fileUrl": "https://example.com/documents/w-4-sample.pdf"
}
]
}
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "extract-w-4-data-extract",
"name": "Extract Data",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Extract Data",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}Prompt
Extract w-4 data from the file at [file URL]. Use the extract_document tool with these fields:
- employee_name (TEXT): Employee full name
- social_security_number (TEXT): Employee Social Security number
- address (ADDRESS): Employee address
- filing_status (TEXT): Selected filing status
- dependents_amount (CURRENCY_AMOUNT): Step 3 dependent and other credits amount
- other_income (CURRENCY_AMOUNT): Step 4(a) other income
- deductions (CURRENCY_AMOUNT): Step 4(b) deductions
- extra_withholding (CURRENCY_AMOUNT): Step 4(c) extra withholding
- is_signed (BOOLEAN): Whether the employee signature is present
- signature_date (DATE): Date signed