1.0Check-in

Every arrival captured in seconds.

Replace clipboards and carbon-copy tickets with AI valet check-in powered by vehicle recognition, photo condition reports, and instant digital ticketing. This vehicle intake software lets your team check in guests in under 30 seconds. No manual typing, no lost tickets, no damage disputes.

1.1

AI-Powered Valet Vehicle Recognition

No more squinting at plates or typing make and model by hand. Point the camera at any vehicle and ValeKit identifies the license plate, make, model, color, and vehicle type automatically. Confidence scoring flags uncertain readings so your team never records the wrong car. Electric vehicles are tagged for charging zone routing. Powered by Gemini AI valet recognition through Google Gemini 2.0 Flash, the system delivers automated license plate recognition for parking operations of every size.

ABC-1234
Detected
Plate
ABC-1234
State
California
1.2

Vehicle Condition Reports & Photos

Damage disputes are the fastest way to lose a customer. Capture multi-angle condition photos at intake with timestamps tied to each ticket. Document pre-existing scratches with severity classification, record fuel levels and mileage, and collect a digital customer signature, all before the car leaves the curb. Every record is available through the guest's tracking link, so there's never a he-said-she-said. As a dedicated valet damage documentation app, ValeKit builds a tamper-proof evidence chain that protects your operation from false claims.

Condition ReportTKT-2851
Front
Rear
Driver
Pass.
Rear bumper, minor scratchLow
Fuel
¾
Odometer
34,218
Signature
1.3

Ticketless Digital Valet Check-in

Ditch the paper tickets and two-way radios. Create a complete digital valet ticket in a single tap: auto-generated ticket numbers with location prefixes, zone assignment, key hook tracking, and pricing fields on one screen. Already using paper tickets? Scan existing barcodes and QR codes to bridge the transition. Works on phones and tablets with a two-column layout on larger screens. Purpose-built vehicle intake software that replaces manual data entry with a streamlined digital workflow from curb to lot.

New Ticket
Vehicle
BMW X5
Plate
ABC-1234
Color
Take photo
Check In
1.4

Returning Guest Recognition

Your best customers shouldn't have to introduce themselves twice. A phone number lookup surfaces their full profile: visit count, total spend, previous vehicles, preferred parking zone, and VIP status. Vehicle details auto-fill from past visits so your valet confirms rather than types. Every check-in builds a richer guest profile, turning first-time visitors into regulars who feel remembered. Combined with AI valet check-in, returning guest recognition turns a 30-second intake into a personalized experience.

JW
James WilsonVIP
+1 (555) 842-9173
15
Total Visits
$340
Total Spent
Zone A
Preferred
Vehicles on File
ABC-1234BMW X5
12 visits
XYZ-7890Audi A4
3 visits
Last visit: March 28, 2026
2h 15m avg
1.5

Guest SMS Tracking & Live Updates

No more guests lingering at the podium asking "where's my car?" They receive an instant SMS with a live tracking link at check-in. The link opens a branded portal showing vehicle status, real-time timeline, and a one-tap retrieval button. No app download needed. Your front desk stops fielding status calls, and guests feel in control of their experience. Paired with ValeKit's AI valet check-in app, the entire guest journey from arrival to departure is digitally tracked and transparent.

Your vehicle is ready for pickup at Main Entrance.
valekit.co/r/TKT-2847
On my way! ~2 min
Retrieval request received
Valet team notified
1.6

Works Offline. Syncs Automatically.

Underground garage, remote lot, dead zone: your operation doesn't stop. ValeKit stores every check-in, photo, and ticket locally on the device and syncs automatically when signal returns. No tickets lost, no data gaps, no excuses. Duplicate plate detection prevents double check-ins, and a complete audit trail logs every action with timestamps and operator identity, even fully offline. Whether you use automated license plate recognition or manual entry, every record is preserved and synced the moment connectivity returns.

Offline
Queued actions
Check-in TKT-2851
Photo upload
Condition note
Park confirmed
4 items synced
Online
Sync complete

Everything included

Every capability is designed to work together, giving your team a complete operational toolkit from day one.

Gemini AI Recognition

Automated license plate recognition
Make & model identification
Color detection
EV auto-detection
Confidence scoring

Damage Documentation

Multi-angle photos
Valet damage documentation
Fuel & mileage recording
Digital signature capture
Timestamped evidence

Ticketing

Auto ticket numbering
Barcode & QR scanning
Zone & key assignment
VIP flagging
Tablet layout

Operations

Offline-first architecture
Automatic sync
Duplicate plate detection
Guest SMS tracking
Complete audit trail

Common questions

How accurate is the AI vehicle recognition?
ValeKit uses Gemini AI valet recognition through Google Gemini 2.0 Flash Lite, identifying plate numbers, make, model, color, and vehicle type in a single camera pass that takes under 3 seconds. Each field returns an independent confidence score between 0 and 1, so a clearly read plate can still flag an uncertain color for review. In internal testing across 50+ vehicle brands, the automated license plate recognition correctly identifies make and model in the vast majority of cases. Low-confidence readings prompt the attendant to retake the photo or correct the field with a single tap. The AI valet check-in app never silently records uncertain data.
What happens if the camera can't read the plate?
The attendant enters details manually. Plate, make, model, color, and vehicle type fields are always editable regardless of AI availability. The AI valet check-in app is designed to accelerate the workflow, not gate it, so a failed scan adds roughly 15 seconds of manual typing rather than blocking the check-in entirely. You can also scan existing Code128, Code39, or QR barcodes from paper tickets to bridge the gap. In low-light or obstructed conditions, the vehicle intake software prompts a retake before falling back to manual entry, ensuring the ticket is always created on time.
Does the app work in underground garages without signal?
Yes. ValeKit is built offline-first using WatermelonDB (SQLite) on the device, so every check-in, photo, and ticket update is persisted locally the moment it is created. When connectivity returns, a pull/push sync with incremental timestamps uploads pending changes automatically. No manual action required. A global sync lock prevents duplicate or conflicting sync runs. Duplicate plate detection queries both the local database and the server, so the same vehicle cannot be checked in twice even without a network connection. The only feature unavailable offline is Gemini AI valet recognition, which requires a network round-trip to Google Gemini. The rest of the vehicle intake software (ticketing, damage documentation, customer lookup) works fully without signal.
How long does a check-in take?
Most attendants complete a standard check-in in under 30 seconds, including the AI camera scan and a single confirmation tap to create the ticket. ValeKit's automated license plate recognition auto-fills plate, make, model, color, and vehicle type in under 3 seconds, and returning guests are recognized instantly via phone number lookup with a 300ms debounced search. A full condition report using the valet damage documentation app (four-angle photos, damage markers with severity, fuel level, odometer, and digital customer signature) adds approximately 30 additional seconds, bringing a comprehensive check-in to about one minute total. On tablets with screens 600px or wider, the two-column layout further reduces data entry time.
Can we use ValeKit alongside existing paper tickets?
Absolutely. The app scans Code128, Code39, and QR barcodes using the device's rear camera, so you can bridge your existing paper ticket system while transitioning to fully digital valet check-in software. Scanned ticket numbers are automatically linked to the corresponding digital record, giving you a searchable history even for paper-originated tickets. This hybrid approach lets you roll out ValeKit lane by lane or shift by shift. There is no requirement to go fully digital on day one. The only limitation is that paper tickets will not generate a guest tracking link unless the check-in is completed digitally through the AI valet check-in app.
How does returning guest recognition work?
When an attendant begins typing a phone number, a debounced search (300ms) queries the customer database using normalized digit matching, so formats like 555-1234 and (555) 123-4000 both resolve correctly. If a match is found, the AI valet check-in app instantly shows the guest's total visit count, lifetime spend, VIP status, and list of previous vehicles. Tapping a vehicle auto-fills plate, make, model, and color so nothing needs to be re-entered. If the guest arrives in a new vehicle, it is added to their profile automatically after check-in. Recognition works across all locations within the same tenant, so a guest who parks at your downtown hotel is also recognized at your airport location through the same vehicle intake software.
What condition documentation can we capture at intake?
You can capture four standard-angle photos (front, rear, driver side, passenger side), each timestamped and geotagged. Pre-existing damage is documented with per-area location markers and a three-level severity classification (low, medium, high), linked directly to the corresponding photo for evidence. Fuel level is recorded in quarter increments (E, 1/4, 1/2, 3/4, F) and the odometer reading is captured for mileage tracking. A touch-based digital customer signature acknowledges the documented condition at intake. ValeKit's valet damage documentation app ties all records permanently to the ticket and makes them accessible through the guest's tracking link, providing a complete evidence chain if a damage dispute arises after checkout.
Is the check-in app available on both iOS and Android?
Yes. ValeKit is a React Native app built with Expo, delivering full feature parity on both iOS and Android. Every capability (Gemini AI valet recognition, automated license plate recognition, offline-first local storage, push notifications via Firebase Cloud Messaging, barcode scanning, multi-angle photo capture, and digital signature collection) works identically on both platforms. On devices with screens 600px or wider, the valet check-in software switches to a two-column tablet layout for faster data entry. Push notifications require a native build; the Expo Go development client falls back to an in-memory mock database for testing purposes only.

30-second check-ins.