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 violation details, fine amounts, vehicle information, and payment deadlines from traffic fine notices.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Fleet management agencies and logistics companies use this recipe to process traffic fine notices at scale — extracting violation details, amounts, and deadlines for centralized tracking and timely payment.
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": "traffic-fine-2026-0892.pdf",
"url": "https://example.com/fines/traffic-fine-2026-0892.pdf"
}
],
"schema": {
"fields": [
{
"name": "ticket_number",
"type": "TEXT",
"description": "Traffic ticket or fine reference number"
},
{
"name": "issue_date",
"type": "DATE",
"description": "Date the fine was issued"
},
{
"name": "violation_type",
"type": "TEXT",
"description": "Type of violation, e.g. speeding, parking, red light"
},
{
"name": "violation_description",
"type": "TEXT",
"description": "Detailed description of the violation"
},
{
"name": "vehicle_plate",
"type": "TEXT",
"description": "License plate number of the vehicle"
},
{
"name": "vehicle_make_model",
"type": "TEXT",
"description": "Vehicle make and model"
},
{
"name": "location",
"type": "TEXT",
"description": "Location where the violation occurred"
},
{
"name": "fine_amount",
"type": "CURRENCY_AMOUNT",
"description": "Total fine amount"
},
{
"name": "payment_due_date",
"type": "DATE",
"description": "Deadline for payment"
},
{
"name": "penalty_points",
"type": "INTEGER",
"description": "Penalty or demerit points"
},
{
"name": "issuing_authority",
"type": "TEXT",
"description": "Authority or agency that issued the fine"
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractDocument({
files: [
{
type: "url",
name: "traffic-fine-2026-0892.pdf",
url: "https://example.com/fines/traffic-fine-2026-0892.pdf",
},
],
schema: {
fields: [
{ name: "ticket_number", type: "TEXT", description: "Traffic ticket or fine reference number" },
{ name: "issue_date", type: "DATE", description: "Date the fine was issued" },
{ name: "violation_type", type: "TEXT", description: "Type of violation, e.g. speeding, parking, red light" },
{ name: "violation_description", type: "TEXT", description: "Detailed description of the violation" },
{ name: "vehicle_plate", type: "TEXT", description: "License plate number of the vehicle" },
{ name: "vehicle_make_model", type: "TEXT", description: "Vehicle make and model" },
{ name: "location", type: "TEXT", description: "Location where the violation occurred" },
{ name: "fine_amount", type: "CURRENCY_AMOUNT", description: "Total fine amount" },
{ name: "payment_due_date", type: "DATE", description: "Deadline for payment" },
{ name: "penalty_points", type: "INTEGER", description: "Penalty or demerit points" },
{ name: "issuing_authority", type: "TEXT", description: "Authority or agency that issued the fine" },
],
},
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_document(
files=[
{
"type": "url",
"name": "traffic-fine-2026-0892.pdf",
"url": "https://example.com/fines/traffic-fine-2026-0892.pdf",
}
],
schema={
"fields": [
{"name": "ticket_number", "type": "TEXT", "description": "Traffic ticket or fine reference number"},
{"name": "issue_date", "type": "DATE", "description": "Date the fine was issued"},
{"name": "violation_type", "type": "TEXT", "description": "Type of violation, e.g. speeding, parking, red light"},
{"name": "violation_description", "type": "TEXT", "description": "Detailed description of the violation"},
{"name": "vehicle_plate", "type": "TEXT", "description": "License plate number of the vehicle"},
{"name": "vehicle_make_model", "type": "TEXT", "description": "Vehicle make and model"},
{"name": "location", "type": "TEXT", "description": "Location where the violation occurred"},
{"name": "fine_amount", "type": "CURRENCY_AMOUNT", "description": "Total fine amount"},
{"name": "payment_due_date", "type": "DATE", "description": "Deadline for payment"},
{"name": "penalty_points", "type": "INTEGER", "description": "Penalty or demerit points"},
{"name": "issuing_authority", "type": "TEXT", "description": "Authority or agency that issued the fine"},
]
},
)
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: "traffic-fine-2026-0892.pdf",
Url: "https://example.com/fines/traffic-fine-2026-0892.pdf",
},
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "ticket_number",
Type: "TEXT",
Description: "Traffic ticket or fine reference number",
},
il.DateFieldConfig{
Name: "issue_date",
Type: "DATE",
Description: "Date the fine was issued",
},
il.TextFieldConfig{
Name: "violation_type",
Type: "TEXT",
Description: "Type of violation, e.g. speeding, parking, red light",
},
il.TextFieldConfig{
Name: "violation_description",
Type: "TEXT",
Description: "Detailed description of the violation",
},
il.TextFieldConfig{
Name: "vehicle_plate",
Type: "TEXT",
Description: "License plate number of the vehicle",
},
il.TextFieldConfig{
Name: "vehicle_make_model",
Type: "TEXT",
Description: "Vehicle make and model",
},
il.TextFieldConfig{
Name: "location",
Type: "TEXT",
Description: "Location where the violation occurred",
},
il.CurrencyAmountFieldConfig{
Name: "fine_amount",
Type: "CURRENCY_AMOUNT",
Description: "Total fine amount",
},
il.DateFieldConfig{
Name: "payment_due_date",
Type: "DATE",
Description: "Deadline for payment",
},
il.IntegerFieldConfig{
Name: "penalty_points",
Type: "INTEGER",
Description: "Penalty or demerit points",
},
il.TextFieldConfig{
Name: "issuing_authority",
Type: "TEXT",
Description: "Authority or agency that issued the fine",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract traffic fine data in Iteration Layer",
"nodes": [
{
"parameters": {
"content": "## Extract Traffic Fine Data\n\nFleet management agencies and logistics companies use this recipe to process traffic fine notices at scale — extracting violation details, amounts, and deadlines for centralized tracking and timely payment.\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": "f6a7b8c9-d0e1-2345-fabc-345678901201",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Extract Fine 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": "f6a7b8c9-d0e1-2345-fabc-345678901202",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "f6a7b8c9-d0e1-2345-fabc-345678901203",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "documentExtraction",
"schemaInputMode": "rawJson",
"schemaJson": "{\"fields\":[{\"name\":\"ticket_number\",\"type\":\"TEXT\",\"description\":\"Traffic ticket or fine reference number\"},{\"name\":\"issue_date\",\"type\":\"DATE\",\"description\":\"Date the fine was issued\"},{\"name\":\"violation_type\",\"type\":\"TEXT\",\"description\":\"Type of violation\"},{\"name\":\"violation_description\",\"type\":\"TEXT\",\"description\":\"Detailed description of the violation\"},{\"name\":\"vehicle_plate\",\"type\":\"TEXT\",\"description\":\"License plate number\"},{\"name\":\"vehicle_make_model\",\"type\":\"TEXT\",\"description\":\"Vehicle make and model\"},{\"name\":\"location\",\"type\":\"TEXT\",\"description\":\"Location where the violation occurred\"},{\"name\":\"fine_amount\",\"type\":\"CURRENCY_AMOUNT\",\"description\":\"Total fine amount\"},{\"name\":\"payment_due_date\",\"type\":\"DATE\",\"description\":\"Deadline for payment\"},{\"name\":\"penalty_points\",\"type\":\"INTEGER\",\"description\":\"Penalty or demerit points\"},{\"name\":\"issuing_authority\",\"type\":\"TEXT\",\"description\":\"Authority that issued the fine\"}]}",
"files": {
"fileValues": [
{
"fileInputMode": "url",
"fileName": "traffic-fine-2026-0892.pdf",
"fileUrl": "https://example.com/fines/traffic-fine-2026-0892.pdf"
}
]
}
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "f6a7b8c9-d0e1-2345-fabc-345678901204",
"name": "Extract Fine Data",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Extract Fine Data",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Extract traffic fine data from the file at [file URL]. Use the extract_document tool with these fields:
- ticket_number (TEXT): Traffic ticket or fine reference number
- issue_date (DATE): Date the fine was issued
- violation_type (TEXT): Type of violation, e.g. speeding, parking, red light
- violation_description (TEXT): Detailed description of the violation
- vehicle_plate (TEXT): License plate number of the vehicle
- vehicle_make_model (TEXT): Vehicle make and model
- location (TEXT): Location where the violation occurred
- fine_amount (CURRENCY_AMOUNT): Total fine amount
- payment_due_date (DATE): Deadline for payment
- penalty_points (INTEGER): Penalty or demerit points
- issuing_authority (TEXT): Authority or agency that issued the fine
{
"success": true,
"data": {
"ticket_number": {
"value": "VIO-2026-0892",
"confidence": 0.99,
"citations": [
"Ticket No: VIO-2026-0892"
]
},
"issue_date": {
"value": "2026-03-05",
"confidence": 0.98,
"citations": [
"Issued: March 5, 2026"
]
},
"violation_type": {
"value": "Speeding",
"confidence": 0.97,
"citations": [
"Violation: Speeding — exceeding posted limit"
]
},
"violation_description": {
"value": "Vehicle recorded at 78 km/h in a 50 km/h zone by automated speed camera",
"confidence": 0.95,
"citations": [
"Recorded speed: 78 km/h in 50 km/h zone (automated camera)"
]
},
"vehicle_plate": {
"value": "MI-4421-RZ",
"confidence": 0.99,
"citations": [
"Plate: MI-4421-RZ"
]
},
"vehicle_make_model": {
"value": "Fiat Ducato 2024",
"confidence": 0.94,
"citations": [
"Vehicle: Fiat Ducato, 2024"
]
},
"location": {
"value": "Via Emilia, km 23.4, Parma",
"confidence": 0.96,
"citations": [
"Location: Via Emilia, km 23.4, Parma"
]
},
"fine_amount": {
"value": {
"amount": "175.00",
"currency": "EUR"
},
"confidence": 0.98,
"citations": [
"Fine: EUR 175.00"
]
},
"payment_due_date": {
"value": "2026-04-04",
"confidence": 0.97,
"citations": [
"Payment due by: April 4, 2026"
]
},
"penalty_points": {
"value": 3,
"confidence": 0.96,
"citations": [
"Points: 3"
]
},
"issuing_authority": {
"value": "Polizia Municipale di Parma",
"confidence": 0.98,
"citations": [
"Issued by: Polizia Municipale di Parma"
]
}
}
}
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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.
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.