Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Extract structured fields from i-9 documents.
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Finance teams use this recipe to extract I-9 fields into structured JSON for accounts receivable, accounts payable, tax, and ERP workflows.
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": "i-9.pdf",
"url": "https://example.com/documents/i-9-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "employee_last_name",
"type": "TEXT",
"description": "Employee last name"
},
{
"name": "employee_first_name",
"type": "TEXT",
"description": "Employee first name"
},
{
"name": "employee_address",
"type": "ADDRESS",
"description": "Employee address"
},
{
"name": "date_of_birth",
"type": "DATE",
"description": "Employee date of birth"
},
{
"name": "citizenship_status",
"type": "TEXT",
"description": "Selected citizenship or immigration status"
},
{
"name": "alien_registration_or_uscis_number",
"type": "TEXT",
"description": "Alien Registration Number or USCIS Number if provided"
},
{
"name": "document_title",
"type": "TEXT",
"description": "List A, B, or C document title"
},
{
"name": "document_number",
"type": "TEXT",
"description": "Document number"
},
{
"name": "document_expiration_date",
"type": "DATE",
"description": "Document expiration date"
},
{
"name": "employer_name",
"type": "TEXT",
"description": "Employer or authorized representative name"
},
{
"name": "employer_signature_date",
"type": "DATE",
"description": "Employer certification date"
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractDocument({
"files": [
{
"type": "url",
"name": "i-9.pdf",
"url": "https://example.com/documents/i-9-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "employee_last_name",
"type": "TEXT",
"description": "Employee last name"
},
{
"name": "employee_first_name",
"type": "TEXT",
"description": "Employee first name"
},
{
"name": "employee_address",
"type": "ADDRESS",
"description": "Employee address"
},
{
"name": "date_of_birth",
"type": "DATE",
"description": "Employee date of birth"
},
{
"name": "citizenship_status",
"type": "TEXT",
"description": "Selected citizenship or immigration status"
},
{
"name": "alien_registration_or_uscis_number",
"type": "TEXT",
"description": "Alien Registration Number or USCIS Number if provided"
},
{
"name": "document_title",
"type": "TEXT",
"description": "List A, B, or C document title"
},
{
"name": "document_number",
"type": "TEXT",
"description": "Document number"
},
{
"name": "document_expiration_date",
"type": "DATE",
"description": "Document expiration date"
},
{
"name": "employer_name",
"type": "TEXT",
"description": "Employer or authorized representative name"
},
{
"name": "employer_signature_date",
"type": "DATE",
"description": "Employer certification date"
}
]
}
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_document(**{
"files": [
{
"type": "url",
"name": "i-9.pdf",
"url": "https://example.com/documents/i-9-sample.pdf"
}
],
"schema": {
"fields": [
{
"name": "employee_last_name",
"type": "TEXT",
"description": "Employee last name"
},
{
"name": "employee_first_name",
"type": "TEXT",
"description": "Employee first name"
},
{
"name": "employee_address",
"type": "ADDRESS",
"description": "Employee address"
},
{
"name": "date_of_birth",
"type": "DATE",
"description": "Employee date of birth"
},
{
"name": "citizenship_status",
"type": "TEXT",
"description": "Selected citizenship or immigration status"
},
{
"name": "alien_registration_or_uscis_number",
"type": "TEXT",
"description": "Alien Registration Number or USCIS Number if provided"
},
{
"name": "document_title",
"type": "TEXT",
"description": "List A, B, or C document title"
},
{
"name": "document_number",
"type": "TEXT",
"description": "Document number"
},
{
"name": "document_expiration_date",
"type": "DATE",
"description": "Document expiration date"
},
{
"name": "employer_name",
"type": "TEXT",
"description": "Employer or authorized representative name"
},
{
"name": "employer_signature_date",
"type": "DATE",
"description": "Employer certification date"
}
]
}
})
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: "i-9.pdf",
Url: "https://example.com/documents/i-9-sample.pdf",
},
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "employee_last_name",
Type: "TEXT",
Description: "Employee last name",
},
il.TextFieldConfig{
Name: "employee_first_name",
Type: "TEXT",
Description: "Employee first name",
},
il.AddressFieldConfig{
Name: "employee_address",
Type: "ADDRESS",
Description: "Employee address",
},
il.DateFieldConfig{
Name: "date_of_birth",
Type: "DATE",
Description: "Employee date of birth",
},
il.TextFieldConfig{
Name: "citizenship_status",
Type: "TEXT",
Description: "Selected citizenship or immigration status",
},
il.TextFieldConfig{
Name: "alien_registration_or_uscis_number",
Type: "TEXT",
Description: "Alien Registration Number or USCIS Number if provided",
},
il.TextFieldConfig{
Name: "document_title",
Type: "TEXT",
Description: "List A, B, or C document title",
},
il.TextFieldConfig{
Name: "document_number",
Type: "TEXT",
Description: "Document number",
},
il.DateFieldConfig{
Name: "document_expiration_date",
Type: "DATE",
Description: "Document expiration date",
},
il.TextFieldConfig{
Name: "employer_name",
Type: "TEXT",
Description: "Employer or authorized representative name",
},
il.DateFieldConfig{
Name: "employer_signature_date",
Type: "DATE",
Description: "Employer certification date",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract I-9 Data",
"nodes": [
{
"parameters": {
"content": "## Extract I-9 Data\n\nFinance teams use this recipe to extract I-9 fields into structured JSON for accounts receivable, accounts payable, tax, and ERP workflows.\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-i-9-data-overview",
"name": "Overview"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "extract-i-9-data-trigger",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "documentExtraction",
"schemaInputMode": "rawJson",
"schemaJson": "{\n \"fields\": [\n {\n \"name\": \"employee_last_name\",\n \"type\": \"TEXT\",\n \"description\": \"Employee last name\"\n },\n {\n \"name\": \"employee_first_name\",\n \"type\": \"TEXT\",\n \"description\": \"Employee first name\"\n },\n {\n \"name\": \"employee_address\",\n \"type\": \"ADDRESS\",\n \"description\": \"Employee address\"\n },\n {\n \"name\": \"date_of_birth\",\n \"type\": \"DATE\",\n \"description\": \"Employee date of birth\"\n },\n {\n \"name\": \"citizenship_status\",\n \"type\": \"TEXT\",\n \"description\": \"Selected citizenship or immigration status\"\n },\n {\n \"name\": \"alien_registration_or_uscis_number\",\n \"type\": \"TEXT\",\n \"description\": \"Alien Registration Number or USCIS Number if provided\"\n },\n {\n \"name\": \"document_title\",\n \"type\": \"TEXT\",\n \"description\": \"List A, B, or C document title\"\n },\n {\n \"name\": \"document_number\",\n \"type\": \"TEXT\",\n \"description\": \"Document number\"\n },\n {\n \"name\": \"document_expiration_date\",\n \"type\": \"DATE\",\n \"description\": \"Document expiration date\"\n },\n {\n \"name\": \"employer_name\",\n \"type\": \"TEXT\",\n \"description\": \"Employer or authorized representative name\"\n },\n {\n \"name\": \"employer_signature_date\",\n \"type\": \"DATE\",\n \"description\": \"Employer certification date\"\n }\n ]\n}",
"files": {
"fileValues": [
{
"fileInputMode": "url",
"fileName": "i-9.pdf",
"fileUrl": "https://example.com/documents/i-9-sample.pdf"
}
]
}
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "extract-i-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 i-9 data from the file at [file URL]. Use the extract_document tool with these fields:
- employee_last_name (TEXT): Employee last name
- employee_first_name (TEXT): Employee first name
- employee_address (ADDRESS): Employee address
- date_of_birth (DATE): Employee date of birth
- citizenship_status (TEXT): Selected citizenship or immigration status
- alien_registration_or_uscis_number (TEXT): Alien Registration Number or USCIS Number if provided
- document_title (TEXT): List A, B, or C document title
- document_number (TEXT): Document number
- document_expiration_date (DATE): Document expiration date
- employer_name (TEXT): Employer or authorized representative name
- employer_signature_date (DATE): Employer certification date
{
"success": true,
"data": {
"employee_last_name": {
"value": "Employee Last Name",
"confidence": 0.97,
"citations": [
"EMPLOYEE LAST NAME"
]
},
"employee_first_name": {
"value": "Employee First Name",
"confidence": 0.97,
"citations": [
"EMPLOYEE FIRST NAME"
]
},
"employee_address": {
"value": {
"street": "100 Market Street",
"city": "Berlin",
"postal_code": "10115",
"country": "DE"
},
"confidence": 0.97,
"citations": [
"EMPLOYEE ADDRESS"
]
},
"date_of_birth": {
"value": "2026-04-15",
"confidence": 0.97,
"citations": [
"15 Apr 2026"
]
},
"citizenship_status": {
"value": "Citizenship Status",
"confidence": 0.97,
"citations": [
"CITIZENSHIP STATUS"
]
},
"alien_registration_or_uscis_number": {
"value": "Alien Registration Or Uscis Number",
"confidence": 0.97,
"citations": [
"ALIEN REGISTRATION OR USCIS NUMBER"
]
},
"document_title": {
"value": "Document Title",
"confidence": 0.97,
"citations": [
"DOCUMENT TITLE"
]
},
"document_number": {
"value": "BL-2026-00418",
"confidence": 0.97,
"citations": [
"DOCUMENT NUMBER"
]
},
"document_expiration_date": {
"value": "2026-04-15",
"confidence": 0.97,
"citations": [
"15 Apr 2026"
]
},
"employer_name": {
"value": "Employer Name",
"confidence": 0.97,
"citations": [
"EMPLOYER NAME"
]
},
"employer_signature_date": {
"value": "2026-04-15",
"confidence": 0.97,
"citations": [
"15 Apr 2026"
]
}
}
}
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Compress an image to fit within a specific file size in bytes using quality-first compression.
日本語の概要は準備中です。原文の説明を表示しています。
Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
日本語の概要は準備中です。原文の説明を表示しています。
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
日本語の概要は準備中です。原文の説明を表示しています。