Tread Label OCR
Carrick Soo Utilities iPhoneiPadiPod touch
Tread Label OCR is a paid Utilities app for iPhone and iPad by Carrick Soo. Rated 1.0/5 from 1 ratings. Requires iOS 17.0. Updated September 18, 2025.
- Rating
- 1.0
- 1 ratings
- Price
- 0.99 USD
- on the App Store
- Size
- 4 MB
- Age 4+
- Updated
- Sep 18
- 2025 · v2.3
Screenshots
About Tread Label OCR
Transform tire label images into structured data with AI-powered precision. Tread Label OCR is the ultimate solution for tire industry professionals, warehouse managers, and automotive businesses who need to digitize tire information quickly and accurately. Complete Failed Image Correction Workflow: - Batch correction interface for multiple failed images - Visual status tracking with green tick marks and "Corrected" status - Smart form validation fixes that prevent save button issues - Auto-prefill intelligence that populates correction forms with detected OCR data - Missing field highlighting with red indicators - Error messages that disappear once images are corrected Enhanced User Experience: - Professional splash screen with logo and progress bar - Dropdown manual entry with cascading supplier and pattern selection - Pattern master list integration for auto-populated dimensions - Date selection for CSV exports with automatic filename inclusion - CSV summary reports with detailed counts for KAYEL and EVERSAFE patterns Improved Accuracy and Recognition: - Enhanced pattern detection algorithms - ZU date format support for production codes like "ZU122502" - Corrected pattern prioritization logic for standalone patterns - Advanced date parsing for various international formats **Key Features** Dual AI Processing: - Offline Core ML processing using Apple's machine learning - Online Gemini AI for high-accuracy cloud processing - Smart fallback system that automatically switches between methods Comprehensive Tire Support: - EVERSAFE Tires: Full support for DPX and standalone pattern formats - KAYEL Tires: Complete product code mapping and dimension extraction - Pattern recognition that extracts width, length, weight, and manufacturing dates - Multi-format date support including letters and numbers Professional Data Management: - Batch processing for up to 100 images simultaneously - Real-time progress tracking with success and failure counts - Data validation with visual indicators for incomplete data - CSV export in Excel-compatible format with UTF-8 BOM encoding - Persistent storage using Core Data with UserDefaults backup Enterprise-Grade Performance: - Memory optimization for large batch processing - 30-second timeout protection to prevent hanging - Cancellation support with proper cleanup - Robust error handling with retry mechanisms **Perfect For** - Tire distributors digitizing inventory from photos - Warehouse managers tracking tire specifications - Automotive businesses processing customer tire data - Quality control verification against standards - Inventory management and database maintenance **Supported Data Formats** EVERSAFE Patterns: - DPX Format: "DPX LE36-242-3180" - Standalone: "LE25-140-2430" - Date Formats: "01072025-G", "20062024-1", "24.03.2025" KAYEL Patterns: - Product Codes: "KAR90", "KAR120" - Auto-extracted dimensions and weight measurements **Technical Excellence** - iOS 15.0+ optimized for modern devices - SwiftUI native interface with dark mode support - Core Data enterprise-grade persistence - Memory efficient handling of large image batches **Privacy and Security** - Local Core ML processing runs entirely on your device - Optional cloud processing only when you choose - No data collection - your tire data never leaves your control - Encrypted local storage with iOS security **Performance Metrics** - 99%+ accuracy with industry-leading OCR precision - 5-image batch processing for memory efficiency - 30-second timeout prevents hanging - Real-time updates with live progress tracking **Why Choose Tread Label OCR** 1. Dual AI technology combining offline and online processing 2. Industry-specific design for tire industry needs 3. Professional grade features and reliability 4. User-friendly interface requiring no training 5. One-time purchase with no subscription fees 6. Regular updates with continuous improvements
What’s new
Version 2.3 · Updated September 18, 2025
New Features: Increased image selection limit from 100 to 200 images Enhanced international character support (Cyrillic) Major Improvements: Better date recognition for international labels Improved KAYEL pattern processing with OCR-prioritized dimensions Enhanced DPX pattern completion logic More accurate dimension extraction Bug Fixes: Fixed Cyrillic character date recognition Resolved dimension accuracy issues Fixed incomplete pattern completion Improved multi-line search capabilities User Benefits: Higher productivity with increased batch processing Better accuracy for international tire labels More reliable results with reduced manual corrections
App privacy
The developer, Carrick Soo, reported these privacy practices to Apple.
Data Not Collected
The developer does not collect any data from this app.
Alternatives to Tread Label OCR
Looking for apps like Tread Label OCR? Here are 6 similar apps on the App Store. The highest rated is Video Compress: Shrink, Resize (4.9/5), and all 6 are free to download.
-
ajayji
-
Tire Ai Scan 2025 Lite
-
Tire Scanner: Check & Safety
1.0
-
TireBuddy
-
Video Compress: Shrink, Resize
4.9
-
Vert ALPR - Mobile LPR Scanner
4.6
| App | Rating | Price | Last updated | Compare |
|---|---|---|---|---|
| Tread Label OCR | 1.0 / 5 (1 rating) | 0.99 USD | September 18, 2025 | |
| ajayji | – | Free | Jan 28, 2026 | Compare |
| Tire Ai Scan 2025 Lite | – | Free | Aug 14, 2025 | Compare |
| Tire Scanner: Check & Safety | 1.0 / 5 (1) | Free | Dec 20, 2025 | Compare |
| TireBuddy | – | Free | Oct 20, 2026 | Compare |
| Video Compress: Shrink, Resize | 4.9 / 5 (10) | Free | Oct 21, 2026 | Compare |
| Vert ALPR - Mobile LPR Scanner | 4.6 / 5 (17) | Free | Sep 24, 2026 | Compare |
Compare Tread Label OCR with the top alternatives: ratings, updates, ASO score and keyword gaps →