Vivid LED vs DeckVision
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Vivid LED
This utility app allows you to create and display custom text and images on a dot matrix screen using your mobile device. Connect via Bluetooth to send your designs to the screen for dynamic visual output.
- Edit text messages
- Send pictures
- Bluetooth connectivity
- Dot matrix screen control
- Customizable display
Read full descriptionHide full description
Vivid LED is a dot matrix screen app. Through Bluetooth on mobile phones, it is possible to edit, send pictures, and text messages for dot matrix screens.
DeckVision
This app uses your iPhone's camera to automatically detect and label playing cards in real-time. It allows for manual correction of detected cards and exports your annotated data in a format compatible with machine learning tools. All processing is done on-device for privacy.
- Real-time card detection
- Automatic image capture
- Annotation review and correction
- Create ML export format
- 100% on-device processing
- Browsable image library
Read full descriptionHide full description
DeckVision turns your iPhone into a playing card training data collector. Point the camera at any arrangement of cards, and DeckVision automatically detects and labels each one in real time using on-device machine learning. When detections stabilize, the image is captured automatically -- no tapping required. Every captured image goes into a review queue where you can inspect bounding boxes, correct misidentified cards, and delete false positives before they pollute your dataset. Edits are non-destructive, and you can return to any image at any time. When your dataset is ready, export everything as a single zip file in Create ML object detection format. The archive includes all annotated images, an annotations.json file with bounding boxes and card labels, and a metadata.json file with detection confidence scores and correction history for full provenance tracking. Key features - Real-time card detection with automatic capture when the scene stabilizes - Full annotation review and correction after each scan - Browsable image library with thumbnail grid and detail editing - Create ML-compatible export with annotations and metadata - 100% on-device processing -- no data ever leaves your iPhone - Camera permission managed transparently, revocable at any time DeckVision is built for machine learning practitioners, researchers, and anyone working to improve playing card detection models with real-world, human-verified training data.
Screenshots
Verdict
The clearest difference is update cadence: DeckVision at every 4 days against Vivid LED's every 2 weeks. Vivid LED's advantage is iOS requirement (15.6 vs 17.0). On price, rating, ratings volume and ads there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
On the App Store both sit at effectively the same score — 5.0 for Vivid LED against 5.0 for DeckVision. Both are backed by a comparable volume of ratings — 1 and 1 respectively.
Vivid LED ships an update every 2 weeks, DeckVision every 4 days. Both last shipped on October 24, 2026.
| Parameter | Vivid LED | DeckVision |
|---|---|---|
| Price | Free | Free |
| Rating | 5.0 (1 ratings) | 5.0 (1 ratings) |
| Positive reviews | 66.7% of reviews | — |
| Number of ratings | 1 | 1 |
| Update frequency | Every 2 weeks | Every 4 days — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | Free |
| Devices | iPhone, iPod — better | iPhone |
| Requires iOS | 15.6 — better | 17.0 |
| Further details — not scored | ||
| Size | 64 MB | 35 MB |
| Age rating | 17+ | 4+ |
| Developer | 曦 张 | Leslie Street Studio LLC |
Customer experience
Vivid LED
DeckVision
In-app purchases
Vivid LED
No in-app purchases
DeckVision
No in-app purchases









