Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extract structured fields from w-9 documents.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Tax and finance teams use this recipe to extract W-9 fields from official forms into structured JSON for review, routing, and downstream filing preparation.
Document Extraction (1 credit per page)
You need an Iteration Layer API key. Get one at platform.iterationlayer.com during the 7-day trial.
For full integration guidance (SDKs, auth, MCP, error handling), see the Iteration Layer Integration Guide.
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-9.pdf",
"url": "https://example.com/documents/w-9-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "legal_name",
"type": "TEXT",
"description": "Name as shown on the income tax return"
},
{
"name": "business_name",
"type": "TEXT",
"description": "Business name or disregarded entity name if different"
},
{
"name": "federal_tax_classification",
"type": "TEXT",
"description": "Selected federal tax classification"
},
{
"name": "exempt_payee_code",
"type": "TEXT",
"description": "Exempt payee code if provided"
},
{
"name": "fatca_exemption_code",
"type": "TEXT",
"description": "FATCA reporting exemption code if provided"
},
{
"name": "address",
"type": "ADDRESS",
"description": "Taxpayer street address, city, state, and ZIP code"
},
{
"name": "requester_name_address",
"type": "TEXT",
"description": "Requester name and address if shown"
},
{
"name": "taxpayer_identification_number",
"type": "TEXT",
"description": "SSN or employer identification number"
},
{
"name": "is_certification_signed",
"type": "BOOLEAN",
"description": "Whether the certification signature is present"
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractDocument({
"files": [
{
"type": "url",
"name": "w-9.pdf",
"url": "https://example.com/documents/w-9-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "legal_name",
"type": "TEXT",
"description": "Name as shown on the income tax return"
},
{
"name": "business_name",
"type": "TEXT",
"description": "Business name or disregarded entity name if different"
},
{
"name": "federal_tax_classification",
"type": "TEXT",
"description": "Selected federal tax classification"
},
{
"name": "exempt_payee_code",
"type": "TEXT",
"description": "Exempt payee code if provided"
},
{
"name": "fatca_exemption_code",
"type": "TEXT",
"description": "FATCA reporting exemption code if provided"
},
{
"name": "address",
"type": "ADDRESS",
"description": "Taxpayer street address, city, state, and ZIP code"
},
{
"name": "requester_name_address",
"type": "TEXT",
"description": "Requester name and address if shown"
},
{
"name": "taxpayer_identification_number",
"type": "TEXT",
"description": "SSN or employer identification number"
},
{
"name": "is_certification_signed",
"type": "BOOLEAN",
"description": "Whether the certification signature is present"
}
]
}
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_document(**{
"files": [
{
"type": "url",
"name": "w-9.pdf",
"url": "https://example.com/documents/w-9-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "legal_name",
"type": "TEXT",
"description": "Name as shown on the income tax return"
},
{
"name": "business_name",
"type": "TEXT",
"description": "Business name or disregarded entity name if different"
},
{
"name": "federal_tax_classification",
"type": "TEXT",
"description": "Selected federal tax classification"
},
{
"name": "exempt_payee_code",
"type": "TEXT",
"description": "Exempt payee code if provided"
},
{
"name": "fatca_exemption_code",
"type": "TEXT",
"description": "FATCA reporting exemption code if provided"
},
{
"name": "address",
"type": "ADDRESS",
"description": "Taxpayer street address, city, state, and ZIP code"
},
{
"name": "requester_name_address",
"type": "TEXT",
"description": "Requester name and address if shown"
},
{
"name": "taxpayer_identification_number",
"type": "TEXT",
"description": "SSN or employer identification number"
},
{
"name": "is_certification_signed",
"type": "BOOLEAN",
"description": "Whether the certification signature is present"
}
]
}
})
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-9.pdf",
Url: "https://example.com/documents/w-9-sample.pdf",
},
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "legal_name",
Type: "TEXT",
Description: "Name as shown on the income tax return",
},
il.TextFieldConfig{
Name: "business_name",
Type: "TEXT",
Description: "Business name or disregarded entity name if different",
},
il.TextFieldConfig{
Name: "federal_tax_classification",
Type: "TEXT",
Description: "Selected federal tax classification",
},
il.TextFieldConfig{
Name: "exempt_payee_code",
Type: "TEXT",
Description: "Exempt payee code if provided",
},
il.TextFieldConfig{
Name: "fatca_exemption_code",
Type: "TEXT",
Description: "FATCA reporting exemption code if provided",
},
il.AddressFieldConfig{
Name: "address",
Type: "ADDRESS",
Description: "Taxpayer street address, city, state, and ZIP code",
},
il.TextFieldConfig{
Name: "requester_name_address",
Type: "TEXT",
Description: "Requester name and address if shown",
},
il.TextFieldConfig{
Name: "taxpayer_identification_number",
Type: "TEXT",
Description: "SSN or employer identification number",
},
il.BooleanFieldConfig{
Name: "is_certification_signed",
Type: "BOOLEAN",
Description: "Whether the certification signature is present",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract W-9 Data",
"nodes": [
{
"parameters": {
"content": "## Extract W-9 Data\n\nTax and finance teams use this recipe to extract W-9 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-9-data-overview",
"name": "Overview"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "extract-w-9-data-trigger",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "documentExtraction",
"schemaInputMode": "rawJson",
"schemaJson": "{\n \"fields\": [\n {\n \"name\": \"legal_name\",\n \"type\": \"TEXT\",\n \"description\": \"Name as shown on the income tax return\"\n },\n {\n \"name\": \"business_name\",\n \"type\": \"TEXT\",\n \"description\": \"Business name or disregarded entity name if different\"\n },\n {\n \"name\": \"federal_tax_classification\",\n \"type\": \"TEXT\",\n \"description\": \"Selected federal tax classification\"\n },\n {\n \"name\": \"exempt_payee_code\",\n \"type\": \"TEXT\",\n \"description\": \"Exempt payee code if provided\"\n },\n {\n \"name\": \"fatca_exemption_code\",\n \"type\": \"TEXT\",\n \"description\": \"FATCA reporting exemption code if provided\"\n },\n {\n \"name\": \"address\",\n \"type\": \"ADDRESS\",\n \"description\": \"Taxpayer street address, city, state, and ZIP code\"\n },\n {\n \"name\": \"requester_name_address\",\n \"type\": \"TEXT\",\n \"description\": \"Requester name and address if shown\"\n },\n {\n \"name\": \"taxpayer_identification_number\",\n \"type\": \"TEXT\",\n \"description\": \"SSN or employer identification number\"\n },\n {\n \"name\": \"is_certification_signed\",\n \"type\": \"BOOLEAN\",\n \"description\": \"Whether the certification signature is present\"\n }\n ]\n}",
"files": {
"fileValues": [
{
"fileInputMode": "url",
"fileName": "w-9.pdf",
"fileUrl": "https://example.com/documents/w-9-sample.pdf"
}
]
}
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "extract-w-9-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"
}
}
Extract w-9 data from the file at [file URL]. Use the extract_document tool with these fields:
- legal_name (TEXT): Name as shown on the income tax return
- business_name (TEXT): Business name or disregarded entity name if different
- federal_tax_classification (TEXT): Selected federal tax classification
- exempt_payee_code (TEXT): Exempt payee code if provided
- fatca_exemption_code (TEXT): FATCA reporting exemption code if provided
- address (ADDRESS): Taxpayer street address, city, state, and ZIP code
- requester_name_address (TEXT): Requester name and address if shown
- taxpayer_identification_number (TEXT): SSN or employer identification number
- is_certification_signed (BOOLEAN): Whether the certification signature is present
{
"success": true,
"data": {
"legal_name": {
"value": "Maria Keller Consulting LLC",
"confidence": 0.97,
"citations": [
"LEGAL NAME"
]
},
"business_name": {
"value": "Business Name",
"confidence": 0.97,
"citations": [
"BUSINESS NAME"
]
},
"federal_tax_classification": {
"value": "Federal Tax Classification",
"confidence": 0.97,
"citations": [
"FEDERAL TAX CLASSIFICATION"
]
},
"exempt_payee_code": {
"value": "Exempt Payee Code",
"confidence": 0.97,
"citations": [
"EXEMPT PAYEE CODE"
]
},
"fatca_exemption_code": {
"value": "Fatca Exemption Code",
"confidence": 0.97,
"citations": [
"FATCA EXEMPTION CODE"
]
},
"address": {
"value": {
"street": "100 Market Street",
"city": "Berlin",
"postal_code": "10115",
"country": "DE"
},
"confidence": 0.97,
"citations": [
"ADDRESS"
]
},
"requester_name_address": {
"value": "Requester Name Address",
"confidence": 0.97,
"citations": [
"REQUESTER NAME ADDRESS"
]
},
"taxpayer_identification_number": {
"value": "12-3456789",
"confidence": 0.97,
"citations": [
"TAXPAYER IDENTIFICATION NUMBER"
]
},
"is_certification_signed": {
"value": true,
"confidence": 0.97,
"citations": [
"IS CERTIFICATION SIGNED"
]
}
}
}
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Compress an image to fit within a specific file size in bytes using quality-first compression.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.