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 merchant, date, line items, tax, and total from receipts.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Finance teams and expense management apps use this recipe to automate receipt processing. Upload a receipt photo or PDF and receive structured JSON with merchant name, date, individual items, and total — ready for an expense report or reimbursement workflow.
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": "receipt.pdf",
"url": "https://example.com/receipts/purchase-receipt.pdf"
}
],
"schema": {
"fields": [
{
"name": "merchant_name",
"type": "TEXT",
"description": "Name of the merchant or store"
},
{
"name": "date",
"type": "DATE",
"description": "Date of the transaction"
},
{
"name": "items",
"type": "ARRAY",
"description": "Individual line items on the receipt",
"fields": [
{
"name": "name",
"type": "TEXT",
"description": "Item name or description"
},
{
"name": "amount",
"type": "CURRENCY_AMOUNT",
"description": "Item price"
}
]
},
{
"name": "total_amount",
"type": "CURRENCY_AMOUNT",
"description": "Total amount charged"
},
{
"name": "currency",
"type": "CURRENCY_CODE",
"description": "Currency code (e.g. EUR, GBP)"
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractDocument({
files: [
{
type: "url",
name: "receipt.pdf",
url: "https://example.com/receipts/purchase-receipt.pdf",
},
],
schema: {
fields: [
{
name: "merchant_name",
type: "TEXT",
description: "Name of the merchant or store",
},
{
name: "date",
type: "DATE",
description: "Date of the transaction",
},
{
name: "items",
type: "ARRAY",
description: "Individual line items on the receipt",
fields: [
{
name: "name",
type: "TEXT",
description: "Item name or description",
},
{
name: "amount",
type: "CURRENCY_AMOUNT",
description: "Item price",
},
],
},
{
name: "total_amount",
type: "CURRENCY_AMOUNT",
description: "Total amount charged",
},
{
name: "currency",
type: "CURRENCY_CODE",
description: "Currency code (e.g. EUR, GBP)",
},
],
},
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_document(
files=[
{
"type": "url",
"name": "receipt.pdf",
"url": "https://example.com/receipts/purchase-receipt.pdf",
}
],
schema={
"fields": [
{
"name": "merchant_name",
"type": "TEXT",
"description": "Name of the merchant or store",
},
{
"name": "date",
"type": "DATE",
"description": "Date of the transaction",
},
{
"name": "items",
"type": "ARRAY",
"description": "Individual line items on the receipt",
"fields": [
{
"name": "name",
"type": "TEXT",
"description": "Item name or description",
},
{
"name": "amount",
"type": "CURRENCY_AMOUNT",
"description": "Item price",
},
],
},
{
"name": "total_amount",
"type": "CURRENCY_AMOUNT",
"description": "Total amount charged",
},
{
"name": "currency",
"type": "CURRENCY_CODE",
"description": "Currency code (e.g. EUR, GBP)",
},
]
},
)
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: "receipt.pdf",
Url: "https://example.com/receipts/purchase-receipt.pdf",
},
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "merchant_name",
Type: "TEXT",
Description: "Name of the merchant or store",
},
il.DateFieldConfig{
Name: "date",
Type: "DATE",
Description: "Date of the transaction",
},
il.ArrayFieldConfig{
Name: "items",
Type: "ARRAY",
Description: "Individual line items on the receipt",
Fields: []any{
il.TextFieldConfig{
Name: "name",
Type: "TEXT",
Description: "Item name or description",
},
il.CurrencyAmountFieldConfig{
Name: "amount",
Type: "CURRENCY_AMOUNT",
Description: "Item price",
},
},
},
il.CurrencyAmountFieldConfig{
Name: "total_amount",
Type: "CURRENCY_AMOUNT",
Description: "Total amount charged",
},
il.CurrencyCodeFieldConfig{
Name: "currency",
Type: "CURRENCY_CODE",
Description: "Currency code (e.g. EUR, GBP)",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract Receipt Data",
"nodes": [
{
"parameters": {
"content": "## Extract Receipt Data\n\nFinance teams and expense management apps use this recipe to automate receipt processing. Upload a receipt photo or PDF and receive structured JSON with merchant name, date, individual items, and total \u2014 ready for an expense report or reimbursement workflow.\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": "4bdb62b6-66d8-4616-a7e1-6e8f48477da7",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Extract Data\nResource: **Document Extraction**\n\nConfigure the Document Extraction parameters below, then connect your credentials.",
"height": 160,
"width": 300,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
475,
100
],
"id": "0c6511af-1417-4e1f-9fbb-73f019a130c3",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "c1d2e3f4-a5b6-7890-cdef-901234567cde",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "documentExtraction",
"schemaInputMode": "rawJson",
"schemaJson": "{\"fields\":[{\"name\":\"merchant_name\",\"type\":\"TEXT\",\"description\":\"Name of the merchant or store\"},{\"name\":\"date\",\"type\":\"DATE\",\"description\":\"Date of the transaction\"},{\"name\":\"items\",\"type\":\"ARRAY\",\"description\":\"Individual line items on the receipt\",\"fields\":[{\"name\":\"name\",\"type\":\"TEXT\",\"description\":\"Item name or description\"},{\"name\":\"amount\",\"type\":\"CURRENCY_AMOUNT\",\"description\":\"Item price\"}]},{\"name\":\"total_amount\",\"type\":\"CURRENCY_AMOUNT\",\"description\":\"Total amount charged\"},{\"name\":\"currency\",\"type\":\"CURRENCY_CODE\",\"description\":\"Currency code (e.g. EUR, GBP)\"}]}",
"files": {
"fileValues": [
{
"fileInputMode": "url",
"fileName": "receipt.pdf",
"fileUrl": "https://example.com/receipts/purchase-receipt.pdf"
}
]
}
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "d2e3f4a5-b6c7-8901-defa-012345678def",
"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 receipt data from the file at [file URL]. Use the extract_document tool with these fields:
- merchant_name (TEXT): Name of the merchant or store
- date (DATE): Date of the transaction
- items (ARRAY): Each with name (TEXT) and amount (CURRENCY_AMOUNT)
- total_amount (CURRENCY_AMOUNT): Total amount charged
- currency (CURRENCY_CODE): Currency code
{
"success": true,
"data": {
"merchant_name": {
"value": "Whole Foods Market",
"confidence": 0.98,
"citations": ["WHOLE FOODS MARKET"]
},
"date": {
"value": "2026-02-18",
"confidence": 0.97,
"citations": ["02/18/2026"]
},
"items": {
"value": [
{
"name": {
"value": "Organic Avocados (3pk)",
"confidence": 0.95,
"citations": ["Organic Avocados 3pk"]
},
"amount": {
"value": {
"amount": "5.99",
"currency": "EUR"
},
"confidence": 0.97,
"citations": ["EUR 5.99"]
}
},
{
"name": {
"value": "Sourdough Bread",
"confidence": 0.96,
"citations": ["Sourdough Bread"]
},
"amount": {
"value": {
"amount": "4.49",
"currency": "EUR"
},
"confidence": 0.98,
"citations": ["EUR 4.49"]
}
}
],
"confidence": 0.96,
"citations": []
},
"total_amount": {
"value": {
"amount": "10.48",
"currency": "EUR"
},
"confidence": 0.99,
"citations": ["TOTAL: EUR 10.48"]
},
"currency": {
"value": "EUR",
"confidence": 0.99,
"citations": ["$"]
}
}
}
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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.
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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.