Extract vehicle identification, owner details, registration dates, and technical specifications from vehicle registration documents.
Scanned 9/10/2026
Install to Claude Code
npx -y skills add iterationlayer/skills --skill extract-fleet-vehicle-registration --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: extract-fleet-vehicle-registration
description: Extract vehicle identification, owner details, registration dates, and technical specifications from vehicle registration documents.
---
# 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](https://platform.iterationlayer.com) during the 7-day trial.
For full integration guidance (SDKs, auth, MCP, error handling), see the [Iteration Layer Integration Guide](https://iterationlayer.com/SKILL.md).
## Implementation
```bash
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"
}
]
}
}'
```
```typescript
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" },
],
},
});
```
```python
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"},
]
},
)
```
```go
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
}
```
```n8n
{
"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"
}
}
```
```prompt
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
```json
{
"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"
]
}
}
}
```
## Links
- [Integration guide](https://iterationlayer.com/SKILL.md)
- [Full documentation](https://iterationlayer.com/docs)
- [OpenAPI spec](https://api.iterationlayer.com/openapi.json)
- [Browse all recipes](https://iterationlayer.com/recipes)
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