TFL Classify vs SmartParsing
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
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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.
SmartParsing
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There are words you need in letters or long sentences, but copying, pasting, editing, selecting the parts you want... have you often found it difficult? The 'Smart Parsing' app solves the problem. 'Smart Parsing' is a powerful app that allows you to easily extract/replace/copy desired items in strings. 1. Smart Parsing * Displays text copied to the clipboard as a list of results matching the patterns registered in the app. * Splits the text copied to the clipboard using the specified delimiters and displays it as a list. * When you select the parsed result, it is automatically copied to the clipboard. * When there are multiple texts you want to copy, you can copy the desired text by continuously selecting it in multi-selection mode. * When copying after multiple selections, you can set it as a separator to be inserted between texts. 2. Individual Parsing * Up to 5 pattern values are displayed, and patterns can be applied one by one. * You can check in advance how the pattern will be applied. (Different colors for each pattern). * You can convert text searched with a pattern to another value. * It provides 'Direct Mode', which reduces the process of pasting, pressing a pattern, and copying to one touch. 3. Pattern Settings and Regular Expression Recommendations * Both pattern settings and detailed settings can be set by the user. * Since setting up patterns (regular expressions) may seem difficult, we provide a 'recommendation' function. 4. Copy history management * Provides the ability to re-copy copied content through parsing. 'Smart Parsing' uses regular expressions (an expression of a string pattern used to find or match a specific pattern within a string), and provides a regular expression recommendation service for convenient registration. Q: There is no desired pattern in the regular expression recommendation service? A: If you contact us within the app (regular expression recommendation - top right - email icon) or send us your pattern information to the email below, we will help you create a regular expression. [ App Permissions ] * Essential Permissions - None * Optional Permissions - App Tracking : We use your data to provide you personalized advertising. [ Inquiry/Suggestion, Pattern Inquiry ] * Inquiry/Suggestion : Send email through the ‘Main – Top right – Inquiry/Suggestion’ menu * Pattern inquiry : Send email via ‘Regular expression recommendation – top right – email icon’ * Email inquiry : lawtinapps@gmail.com [ License ] * Image : https://lawtinapps.blogspot.com/2023/09/smartparsing-image-license.html
Screenshots
Verdict
The clearest difference is ads: TFL Classify at none against SmartParsing's shown. TFL Classify also leads on iOS requirement (12.0 vs 15.0). On price, in-app purchases and device support 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.
| Parameter | TFL Classify | SmartParsing |
|---|---|---|
| Price | Free | Free |
| Rating | 5.0 (2 ratings) — better | — |
| Number of ratings | 2 — better | — |
| Update frequency | — | Every 6 weeks |
| Ads | No — better | Yes |
| In-app purchases | No | No |
| Monetization | Free | — |
| Devices | iPhone, iPad, iPod — better | iPhone, iPod |
| Requires iOS | 12.0 — better | 15.0 |
| Further details — not scored | ||
| Size | 13 MB | 23 MB |
| Age rating | 4+ | 4+ |
| Developer | Yi Lab LLC | BeomSeok Chae |
In-app purchases
TFL Classify
No in-app purchases
SmartParsing
No in-app purchases









