✨ PUBLIC BETA - LAUNCHED OCTOBER 2025

The Desktop App for Professional Motorsport Photographers

AI-powered batch processing, race number detection, and automated photo organization—all running locally on your computer for maximum privacy and performance. Launched publicly in October 2025, RaceTagger is actively used by a growing community of professional motorsport photographers.

RaceTagger desktop application interface
99.2%
Detection Accuracy
1.2s
Per Image
💻
Windows 10/11
64-bit
🍎
macOS 11+
Intel & Apple Silicon
📦
Free Download
No credit card required

Everything You Need in One Desktop App

RaceTagger handles the entire pre-processing workflow before you import to Lightroom or Photo Mechanic.

🤖 AI-Powered

Race Number Detection with 99.2% Accuracy

Our proprietary computer vision models are trained specifically on motorsport imagery to detect race numbers in challenging conditions—motion blur, poor lighting, partial occlusion, dirt, and extreme angles.

  • Works on Any Motorsport
    F1, NASCAR, MotoGP, karting, rally, track days
  • Handles Difficult Shots
    Panning motion blur, night races, rain conditions
  • Multiple Number Formats
    1-4 digits, with/without letters, various fonts
AI race number detection in action
Detected: #13 - Confidence: 97.3%
📄 starting_list.csv
Number, Driver, Team, Class
13, Max Verstappen, Red Bull Racing, Formula 1
44, Lewis Hamilton, Mercedes-AMG, Formula 1
55, Carlos Sainz, Scuderia Ferrari, Formula 1
⬇️ Import & Match ⬇️
✓ Photo #13 → Tagged: "Max Verstappen, Red Bull Racing"
✓ Photo #44 → Tagged: "Lewis Hamilton, Mercedes-AMG"
✓ Photo #55 → Tagged: "Carlos Sainz, Scuderia Ferrari"
📊 CSV Integration

Automatic Driver Matching from Starting Lists

Import any CSV file with participant data—race organizers, timing systems, or your own custom lists. RaceTagger automatically matches detected race numbers with driver names, teams, sponsors, and any custom metadata.

  • Flexible CSV Format
    Works with any column structure, custom delimiters
  • Multiple Data Fields
    Driver, team, class, sponsors, social handles, etc.
  • Save & Reuse Templates
    Store CSV mappings for recurring events
📝 Professional Metadata

EXIF Metadata Writing for Lightroom & Photo Mechanic

RaceTagger writes professional EXIF keywords, titles, and descriptions directly into your image files—making them instantly searchable and organized when you import to any photo editing software.

  • Industry-Standard EXIF/IPTC
    Compatible with Lightroom, Photo Mechanic, Capture One, Bridge
  • Customizable Templates
    Define your own keyword structure and naming conventions
  • Batch Operations
    Process thousands of photos with consistent metadata
EXIF Metadata Preview:
Keywords:"F1, Red Bull, Max Verstappen"
Title:"Car #13 - Max Verstappen"
Description:"Red Bull Racing - Formula 1"
Creator:"Your Name"
Copyright:"© 2025 Your Studio"
📁 Organized Output:
📂 Event_2025-01-15/
📂 Car_13_Max_Verstappen/
IMG_0001.CR3
IMG_0045.CR3
IMG_0089.CR3
📂 Car_44_Lewis_Hamilton/
IMG_0023.CR3
IMG_0067.CR3
📂 Car_55_Carlos_Sainz/
IMG_0034.CR3
📁 Smart Organization

Automatic Folder Organization by Driver

RaceTagger automatically organizes your photos into folders by participant, making it easy to deliver client-ready galleries without any manual sorting.

  • Custom Folder Naming
    Define your own folder structure and naming patterns
  • Preserve Originals
    Non-destructive processing with optional backup copies
  • Multi-level Organization
    Group by class, team, session, or custom criteria

See RaceTagger in Action

Watch how professional photographers use RaceTagger to process 500+ photos in under 30 minutes.

▶️
Demo Video Coming Soon
Full workflow walkthrough with real motorsport photos

Or read the installation guide for detailed setup instructions.

Technical Specifications

Supported Camera Formats

  • Canon RAW (.CR2, .CR3)
  • Nikon RAW (.NEF, .NRW)
  • Sony RAW (.ARW)
  • JPEG (.JPG, .JPEG)
  • TIFF (.TIF, .TIFF)

System Requirements

  • Windows:
    Windows 10/11 (64-bit)
  • macOS:
    macOS 11+ (Intel & M1/M2/M3)
  • RAM:
    8 GB minimum, 16 GB recommended
  • Storage:
    500 MB app + space for photos

Performance

  • ~1.2 seconds per image
  • 500 photos in ~30 minutes
  • 99.2% detection accuracy
  • Batch processing supported
  • GPU acceleration available

Ready to Save 10+ Hours Per Event?

Download RaceTagger for free and get 100 AI analyses per month—no credit card required.

1️⃣

Download & Install

Free desktop app for Windows & macOS

2️⃣

Import Photos & CSV

Drag & drop your race photos + starting list

3️⃣

Export & Edit

Get organized, tagged photos ready for Lightroom

Download Free →

100 free analyses per month • No credit card required • Cancel anytime