TFL Classify vs Qwantum Private Messaging
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
TFL Classify
This application performs real-time image classification using TensorFlow Lite. It leverages a pre-trained model to identify objects within images as they are captured.
- Real-time image classification
- TensorFlow Lite integration
- Object identification
- Uses pre-trained models
Read full descriptionHide full description
TFL Classify uses below code (Apache License 2.0) with minimum modification: https://github.com/tensorflow/examples/tree/master/lite/examples/image_classification TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.
Qwantum Private Messaging
This secure messaging app allows users to encrypt and decrypt sensitive data using physical card readers and tokens for authentication. It fosters a community of professionals valuing privacy and document integrity.
- End-to-end data encryption
- Card reader authentication
- Token-based login
- Secure message creation
- Message expiration dates
- Audit detail levels
Read full descriptionHide full description
Qwantum Private Messaging is a cloud-based application designed to enable its users with the ability to encrypt and decrypt sensitive data. The application works with MagTek Card Readers and Qwantum Cards to provide a powerful authentication experience that does not rely on usernames and passwords. Qwantum Private Messaging is organized as a club so that it can grow and flourish by attracting like-minded professionals who see value in privacy, do not intend to use the service for unscrupulous activities, have business needs to establish the authenticity and integrity of the documents, and objects they rely on, and desire to trust with confidence those with whom they share sensitive or confidential information. To create a Private Message, simply glide your Qwantum Card through your MagTek reader or use a Member or Guest Token. Once authenticated, you can create your message, choose to add an optional attachment, designate your recipient(s), set an expiration date, and choose the level of audit detail you desire, then press email or download. The Private Message is created, encrypted, and delivered to the designated recipients. Our mission is to build a network of trust based on these timeless principles: Privacy, Integrity, and Authenticity.
Screenshots
Verdict
TFL Classify and Qwantum Private Messaging are too close to call on the numbers: across 8 compared parameters — price, rating, ratings volume and ads among them — neither pulls far enough ahead to decide it. What separates them is feature set and interface, not measurable difference.
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 TFL Classify against 5.0 for Qwantum Private Messaging. Both are backed by a comparable volume of ratings — 2 and 1 respectively.
| Parameter | TFL Classify | Qwantum Private Messaging |
|---|---|---|
| Price | Free | Free |
| Rating | 5.0 (2 ratings) | 5.0 (1 ratings) |
| Number of ratings | 2 — better | 1 |
| Update frequency | — | Every 2 months |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | Free |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Requires iOS | 12.0 — better | 13.0 |
| Further details — not scored | ||
| Size | 13 MB | 4 MB |
| Age rating | 4+ | 17+ |
| Developer | Yi Lab LLC | MagTek, Inc. |
Customer experience
TFL Classify
Qwantum Private Messaging
In-app purchases
TFL Classify
No in-app purchases
Qwantum Private Messaging
No in-app purchases
Questions
Is TFL Classify free?
Is Qwantum Private Messaging free?
Which has better reviews, TFL Classify or Qwantum Private Messaging?
Do TFL Classify or Qwantum Private Messaging have ads?
Other comparisons















