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Extract structured fields from 1099-nec documents.
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安装前可以查看交给 AI 代理的指令内容。
Tax and finance teams use this recipe to extract 1099-NEC 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": "1099-nec.pdf",
"url": "https://example.com/documents/1099-nec-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "payer_name",
"type": "TEXT",
"description": "Payer name"
},
{
"name": "payer_address",
"type": "ADDRESS",
"description": "Payer address"
},
{
"name": "payer_tin",
"type": "TEXT",
"description": "Payer TIN"
},
{
"name": "recipient_name",
"type": "TEXT",
"description": "Recipient name"
},
{
"name": "recipient_address",
"type": "ADDRESS",
"description": "Recipient address"
},
{
"name": "recipient_tin",
"type": "TEXT",
"description": "Recipient TIN"
},
{
"name": "account_number",
"type": "TEXT",
"description": "Account number"
},
{
"name": "tax_year",
"type": "TEXT",
"description": "Tax year"
},
{
"name": "nonemployee_compensation",
"type": "CURRENCY_AMOUNT",
"description": "Box 1 nonemployee compensation"
},
{
"name": "federal_income_tax_withheld",
"type": "CURRENCY_AMOUNT",
"description": "Box 4 federal income tax withheld"
},
{
"name": "state_tax_withheld",
"type": "CURRENCY_AMOUNT",
"description": "State tax withheld"
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractDocument({
"files": [
{
"type": "url",
"name": "1099-nec.pdf",
"url": "https://example.com/documents/1099-nec-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "payer_name",
"type": "TEXT",
"description": "Payer name"
},
{
"name": "payer_address",
"type": "ADDRESS",
"description": "Payer address"
},
{
"name": "payer_tin",
"type": "TEXT",
"description": "Payer TIN"
},
{
"name": "recipient_name",
"type": "TEXT",
"description": "Recipient name"
},
{
"name": "recipient_address",
"type": "ADDRESS",
"description": "Recipient address"
},
{
"name": "recipient_tin",
"type": "TEXT",
"description": "Recipient TIN"
},
{
"name": "account_number",
"type": "TEXT",
"description": "Account number"
},
{
"name": "tax_year",
"type": "TEXT",
"description": "Tax year"
},
{
"name": "nonemployee_compensation",
"type": "CURRENCY_AMOUNT",
"description": "Box 1 nonemployee compensation"
},
{
"name": "federal_income_tax_withheld",
"type": "CURRENCY_AMOUNT",
"description": "Box 4 federal income tax withheld"
},
{
"name": "state_tax_withheld",
"type": "CURRENCY_AMOUNT",
"description": "State tax withheld"
}
]
}
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_document(**{
"files": [
{
"type": "url",
"name": "1099-nec.pdf",
"url": "https://example.com/documents/1099-nec-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "payer_name",
"type": "TEXT",
"description": "Payer name"
},
{
"name": "payer_address",
"type": "ADDRESS",
"description": "Payer address"
},
{
"name": "payer_tin",
"type": "TEXT",
"description": "Payer TIN"
},
{
"name": "recipient_name",
"type": "TEXT",
"description": "Recipient name"
},
{
"name": "recipient_address",
"type": "ADDRESS",
"description": "Recipient address"
},
{
"name": "recipient_tin",
"type": "TEXT",
"description": "Recipient TIN"
},
{
"name": "account_number",
"type": "TEXT",
"description": "Account number"
},
{
"name": "tax_year",
"type": "TEXT",
"description": "Tax year"
},
{
"name": "nonemployee_compensation",
"type": "CURRENCY_AMOUNT",
"description": "Box 1 nonemployee compensation"
},
{
"name": "federal_income_tax_withheld",
"type": "CURRENCY_AMOUNT",
"description": "Box 4 federal income tax withheld"
},
{
"name": "state_tax_withheld",
"type": "CURRENCY_AMOUNT",
"description": "State tax withheld"
}
]
}
})
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: "1099-nec.pdf",
Url: "https://example.com/documents/1099-nec-sample.pdf",
},
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "payer_name",
Type: "TEXT",
Description: "Payer name",
},
il.AddressFieldConfig{
Name: "payer_address",
Type: "ADDRESS",
Description: "Payer address",
},
il.TextFieldConfig{
Name: "payer_tin",
Type: "TEXT",
Description: "Payer TIN",
},
il.TextFieldConfig{
Name: "recipient_name",
Type: "TEXT",
Description: "Recipient name",
},
il.AddressFieldConfig{
Name: "recipient_address",
Type: "ADDRESS",
Description: "Recipient address",
},
il.TextFieldConfig{
Name: "recipient_tin",
Type: "TEXT",
Description: "Recipient TIN",
},
il.TextFieldConfig{
Name: "account_number",
Type: "TEXT",
Description: "Account number",
},
il.TextFieldConfig{
Name: "tax_year",
Type: "TEXT",
Description: "Tax year",
},
il.CurrencyAmountFieldConfig{
Name: "nonemployee_compensation",
Type: "CURRENCY_AMOUNT",
Description: "Box 1 nonemployee compensation",
},
il.CurrencyAmountFieldConfig{
Name: "federal_income_tax_withheld",
Type: "CURRENCY_AMOUNT",
Description: "Box 4 federal income tax withheld",
},
il.CurrencyAmountFieldConfig{
Name: "state_tax_withheld",
Type: "CURRENCY_AMOUNT",
Description: "State tax withheld",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract 1099-NEC Data",
"nodes": [
{
"parameters": {
"content": "## Extract 1099-NEC Data\n\nTax and finance teams use this recipe to extract 1099-NEC 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-1099-nec-data-overview",
"name": "Overview"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "extract-1099-nec-data-trigger",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "documentExtraction",
"schemaInputMode": "rawJson",
"schemaJson": "{\n \"fields\": [\n {\n \"name\": \"payer_name\",\n \"type\": \"TEXT\",\n \"description\": \"Payer name\"\n },\n {\n \"name\": \"payer_address\",\n \"type\": \"ADDRESS\",\n \"description\": \"Payer address\"\n },\n {\n \"name\": \"payer_tin\",\n \"type\": \"TEXT\",\n \"description\": \"Payer TIN\"\n },\n {\n \"name\": \"recipient_name\",\n \"type\": \"TEXT\",\n \"description\": \"Recipient name\"\n },\n {\n \"name\": \"recipient_address\",\n \"type\": \"ADDRESS\",\n \"description\": \"Recipient address\"\n },\n {\n \"name\": \"recipient_tin\",\n \"type\": \"TEXT\",\n \"description\": \"Recipient TIN\"\n },\n {\n \"name\": \"account_number\",\n \"type\": \"TEXT\",\n \"description\": \"Account number\"\n },\n {\n \"name\": \"tax_year\",\n \"type\": \"TEXT\",\n \"description\": \"Tax year\"\n },\n {\n \"name\": \"nonemployee_compensation\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Box 1 nonemployee compensation\"\n },\n {\n \"name\": \"federal_income_tax_withheld\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Box 4 federal income tax withheld\"\n },\n {\n \"name\": \"state_tax_withheld\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"State tax withheld\"\n }\n ]\n}",
"files": {
"fileValues": [
{
"fileInputMode": "url",
"fileName": "1099-nec.pdf",
"fileUrl": "https://example.com/documents/1099-nec-sample.pdf"
}
]
}
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "extract-1099-nec-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 1099-nec data from the file at [file URL]. Use the extract_document tool with these fields:
- payer_name (TEXT): Payer name
- payer_address (ADDRESS): Payer address
- payer_tin (TEXT): Payer TIN
- recipient_name (TEXT): Recipient name
- recipient_address (ADDRESS): Recipient address
- recipient_tin (TEXT): Recipient TIN
- account_number (TEXT): Account number
- tax_year (TEXT): Tax year
- nonemployee_compensation (CURRENCY_AMOUNT): Box 1 nonemployee compensation
- federal_income_tax_withheld (CURRENCY_AMOUNT): Box 4 federal income tax withheld
- state_tax_withheld (CURRENCY_AMOUNT): State tax withheld
{
"success": true,
"data": {
"payer_name": {
"value": "Payer Name",
"confidence": 0.97,
"citations": [
"PAYER NAME"
]
},
"payer_address": {
"value": {
"street": "100 Market Street",
"city": "Berlin",
"postal_code": "10115",
"country": "DE"
},
"confidence": 0.97,
"citations": [
"PAYER ADDRESS"
]
},
"payer_tin": {
"value": "Payer Tin",
"confidence": 0.97,
"citations": [
"PAYER TIN"
]
},
"recipient_name": {
"value": "Recipient Name",
"confidence": 0.97,
"citations": [
"RECIPIENT NAME"
]
},
"recipient_address": {
"value": {
"street": "100 Market Street",
"city": "Berlin",
"postal_code": "10115",
"country": "DE"
},
"confidence": 0.97,
"citations": [
"RECIPIENT ADDRESS"
]
},
"recipient_tin": {
"value": "Recipient Tin",
"confidence": 0.97,
"citations": [
"RECIPIENT TIN"
]
},
"account_number": {
"value": "Account Number",
"confidence": 0.97,
"citations": [
"ACCOUNT NUMBER"
]
},
"tax_year": {
"value": "Tax Year",
"confidence": 0.97,
"citations": [
"TAX YEAR"
]
},
"nonemployee_compensation": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"federal_income_tax_withheld": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
},
"state_tax_withheld": {
"value": {
"amount": "1234.56",
"currency": "USD"
},
"confidence": 0.97,
"citations": [
"$1,234.56"
]
}
}
}
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