iterationlayer Extract Fleet Vehicle Registration Data
Fleet management agencies use this recipe to digitize vehicle registration documents — extracting VIN numbers, registration dates, insurance details, and technical specs for centralized fleet databases.
APIs Used
Document Extraction (1 credit per page)
Prerequisites
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.
Implementation
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": "vehicle-registration-FL-4821.pdf",
"url": "https://example.com/fleet/registration-FL-4821.pdf"
}
],
"schema": {
"fields": [
{
"name": "license_plate",
"type": "TEXT",
"description": "Vehicle license plate number"
},
{
"name": "vin",
"type": "TEXT",
"description": "Vehicle Identification Number (VIN)"
},
{
"name": "make",
"type": "TEXT",
"description": "Vehicle manufacturer"
},
{
"name": "model",
"type": "TEXT",
"description": "Vehicle model"
},
{
"name": "year",
"type": "INTEGER",
"description": "Model year"
},
{
"name": "body_type",
"type": "TEXT",
"description": "Body type, e.g. van, truck, sedan"
},
{
"name": "fuel_type",
"type": "TEXT",
"description": "Fuel type, e.g. diesel, electric, petrol"
},
{
"name": "registered_owner",
"type": "TEXT",
"description": "Registered owner name or company"
},
{
"name": "registration_date",
"type": "DATE",
"description": "Date of first registration"
},
{
"name": "registration_expiry",
"type": "DATE",
"description": "Registration expiry date"
},
{
"name": "gross_vehicle_weight",
"type": "TEXT",
"description": "Maximum gross vehicle weight"
},
{
"name": "emission_class",
"type": "TEXT",
"description": "Emission standard class"
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractDocument({
files: [
{
type: "url",
name: "vehicle-registration-FL-4821.pdf",
url: "https://example.com/fleet/registration-FL-4821.pdf",
},
],
schema: {
fields: [
{ name: "license_plate", type: "TEXT", description: "Vehicle license plate number" },
{ name: "vin", type: "TEXT", description: "Vehicle Identification Number (VIN)" },
{ name: "make", type: "TEXT", description: "Vehicle manufacturer" },
{ name: "model", type: "TEXT", description: "Vehicle model" },
{ name: "year", type: "INTEGER", description: "Model year" },
{ name: "body_type", type: "TEXT", description: "Body type, e.g. van, truck, sedan" },
{ name: "fuel_type", type: "TEXT", description: "Fuel type, e.g. diesel, electric, petrol" },
{ name: "registered_owner", type: "TEXT", description: "Registered owner name or company" },
{ name: "registration_date", type: "DATE", description: "Date of first registration" },
{ name: "registration_expiry", type: "DATE", description: "Registration expiry date" },
{ name: "gross_vehicle_weight", type: "TEXT", description: "Maximum gross vehicle weight" },
{ name: "emission_class", type: "TEXT", description: "Emission standard class" },
],
},
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_document(
files=[
{
"type": "url",
"name": "vehicle-registration-FL-4821.pdf",
"url": "https://example.com/fleet/registration-FL-4821.pdf",
}
],
schema={
"fields": [
{"name": "license_plate", "type": "TEXT", "description": "Vehicle license plate number"},
{"name": "vin", "type": "TEXT", "description": "Vehicle Identification Number (VIN)"},
{"name": "make", "type": "TEXT", "description": "Vehicle manufacturer"},
{"name": "model", "type": "TEXT", "description": "Vehicle model"},
{"name": "year", "type": "INTEGER", "description": "Model year"},
{"name": "body_type", "type": "TEXT", "description": "Body type, e.g. van, truck, sedan"},
{"name": "fuel_type", "type": "TEXT", "description": "Fuel type, e.g. diesel, electric, petrol"},
{"name": "registered_owner", "type": "TEXT", "description": "Registered owner name or company"},
{"name": "registration_date", "type": "DATE", "description": "Date of first registration"},
{"name": "registration_expiry", "type": "DATE", "description": "Registration expiry date"},
{"name": "gross_vehicle_weight", "type": "TEXT", "description": "Maximum gross vehicle weight"},
{"name": "emission_class", "type": "TEXT", "description": "Emission standard class"},
]
},
)
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: "vehicle-registration-FL-4821.pdf",
Url: "https://example.com/fleet/registration-FL-4821.pdf",
},
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "license_plate",
Type: "TEXT",
Description: "Vehicle license plate number",
},
il.TextFieldConfig{
Name: "vin",
Type: "TEXT",
Description: "Vehicle Identification Number (VIN)",
},
il.TextFieldConfig{
Name: "make",
Type: "TEXT",
Description: "Vehicle manufacturer",
},
il.TextFieldConfig{
Name: "model",
Type: "TEXT",
Description: "Vehicle model",
},
il.IntegerFieldConfig{
Name: "year",
Type: "INTEGER",
Description: "Model year",
},
il.TextFieldConfig{
Name: "body_type",
Type: "TEXT",
Description: "Body type, e.g. van, truck, sedan",
},
il.TextFieldConfig{
Name: "fuel_type",
Type: "TEXT",
Description: "Fuel type, e.g. diesel, electric, petrol",
},
il.TextFieldConfig{
Name: "registered_owner",
Type: "TEXT",
Description: "Registered owner name or company",
},
il.DateFieldConfig{
Name: "registration_date",
Type: "DATE",
Description: "Date of first registration",
},
il.DateFieldConfig{
Name: "registration_expiry",
Type: "DATE",
Description: "Registration expiry date",
},
il.TextFieldConfig{
Name: "gross_vehicle_weight",
Type: "TEXT",
Description: "Maximum gross vehicle weight",
},
il.TextFieldConfig{
Name: "emission_class",
Type: "TEXT",
Description: "Emission standard class",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract fleet vehicle registration data in Iteration Layer",
"nodes": [
{
"parameters": {
"content": "## Extract Fleet Vehicle Registration Data\n\nFleet management agencies use this recipe to digitize vehicle registration documents — extracting VIN numbers, registration dates, insurance details, and technical specs for centralized fleet databases.\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": "b8c9d0e1-f2a3-4567-bcde-567890123401",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Extract Registration 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": "b8c9d0e1-f2a3-4567-bcde-567890123402",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "b8c9d0e1-f2a3-4567-bcde-567890123403",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "documentExtraction",
"schemaInputMode": "rawJson",
"schemaJson": "{\"fields\":[{\"name\":\"license_plate\",\"type\":\"TEXT\",\"description\":\"Vehicle license plate number\"},{\"name\":\"vin\",\"type\":\"TEXT\",\"description\":\"Vehicle Identification Number (VIN)\"},{\"name\":\"make\",\"type\":\"TEXT\",\"description\":\"Vehicle manufacturer\"},{\"name\":\"model\",\"type\":\"TEXT\",\"description\":\"Vehicle model\"},{\"name\":\"year\",\"type\":\"INTEGER\",\"description\":\"Model year\"},{\"name\":\"body_type\",\"type\":\"TEXT\",\"description\":\"Body type\"},{\"name\":\"fuel_type\",\"type\":\"TEXT\",\"description\":\"Fuel type\"},{\"name\":\"registered_owner\",\"type\":\"TEXT\",\"description\":\"Registered owner name or company\"},{\"name\":\"registration_date\",\"type\":\"DATE\",\"description\":\"Date of first registration\"},{\"name\":\"registration_expiry\",\"type\":\"DATE\",\"description\":\"Registration expiry date\"},{\"name\":\"gross_vehicle_weight\",\"type\":\"TEXT\",\"description\":\"Maximum gross vehicle weight\"},{\"name\":\"emission_class\",\"type\":\"TEXT\",\"description\":\"Emission standard class\"}]}",
"files": {
"fileValues": [
{
"fileInputMode": "url",
"fileName": "vehicle-registration-FL-4821.pdf",
"fileUrl": "https://example.com/fleet/registration-FL-4821.pdf"
}
]
}
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "b8c9d0e1-f2a3-4567-bcde-567890123404",
"name": "Extract Registration Data",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Extract Registration Data",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Extract fleet vehicle registration data from the file at [file URL]. Use the extract_document tool with these fields:
- license_plate (TEXT): Vehicle license plate number
- vin (TEXT): Vehicle Identification Number (VIN)
- make (TEXT): Vehicle manufacturer
- model (TEXT): Vehicle model
- year (INTEGER): Model year
- body_type (TEXT): Body type, e.g. van, truck, sedan
- fuel_type (TEXT): Fuel type, e.g. diesel, electric, petrol
- registered_owner (TEXT): Registered owner name or company
- registration_date (DATE): Date of first registration
- registration_expiry (DATE): Registration expiry date
- gross_vehicle_weight (TEXT): Maximum gross vehicle weight
- emission_class (TEXT): Emission standard class
Response
{
"success": true,
"data": {
"license_plate": {
"value": "MI-4821-KZ",
"confidence": 0.99,
"citations": [
"Targa: MI-4821-KZ"
]
},
"vin": {
"value": "WVGZZZ5NZYW048291",
"confidence": 0.98,
"citations": [
"Telaio: WVGZZZ5NZYW048291"
]
},
"make": {
"value": "Iveco",
"confidence": 0.99,
"citations": [
"Marca: Iveco"
]
},
"model": {
"value": "Daily 35S14",
"confidence": 0.97,
"citations": [
"Modello: Daily 35S14"
]
},
"year": {
"value": 2024,
"confidence": 0.98,
"citations": [
"Anno: 2024"
]
},
"body_type": {
"value": "Van",
"confidence": 0.96,
"citations": [
"Carrozzeria: Furgone"
]
},
"fuel_type": {
"value": "Diesel",
"confidence": 0.99,
"citations": [
"Alimentazione: Gasolio"
]
},
"registered_owner": {
"value": "Veloce Logistics S.r.l.",
"confidence": 0.98,
"citations": [
"Intestatario: Veloce Logistics S.r.l."
]
},
"registration_date": {
"value": "2024-06-12",
"confidence": 0.97,
"citations": [
"Data immatricolazione: 12/06/2024"
]
},
"registration_expiry": {
"value": "2026-06-12",
"confidence": 0.96,
"citations": [
"Scadenza revisione: 12/06/2026"
]
},
"gross_vehicle_weight": {
"value": "3,500 kg",
"confidence": 0.97,
"citations": [
"Massa complessiva: 3.500 kg"
]
},
"emission_class": {
"value": "Euro 6d",
"confidence": 0.95,
"citations": [
"Classe emissioni: Euro 6d"
]
}
}
}