Software Alternatives & Startups
Register | Login

MLKit VS CreateFiles+

Compare MLKit VS CreateFiles+ and see what are their differences

MLKit

MLKit is a simple machine learning framework written in Swift.

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
CreateFiles+

Create blank files, custom file types, templates, whole batches, and reusable folder setups exactly where you are working on macOS.

Rating
0 reviews
Pricing
Paid Free trial $4.99 / One-off (2 mac licenses with purchase)
Alternatives Is it good?
Tempreon
A personal memory layer for your AI tools, connected over MCP. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Base details

Website, pricing, platforms and company facts side by side.

MLKit
CreateFiles+
Website github.com createfilesplus.com
Pricing
Open source
Paid Free trial $4.99 / One-off (2 mac licenses with purchase) Official pricing
Platforms —
MacOS Mac OSX Mac
Company — Startup from the United States · 1 - 9 employees · 2026
Listed in
Data Science And Machine Learning Data Science Tools Python Tools Software Libraries +1
Mac Tools File Management Productivity Developer Tools OS & Utilities +2

About MLKit and CreateFiles+

In their own words, as submitted to SaaSHub.

MLKit
CreateFiles+

No description of MLKit yet.

CreateFiles+ adds the file creation workflow macOS should have had all along. Create a new file exactly where you are working, without opening TextEdit, saving-as, using Terminal, or dragging template files around. Use Finder right-click menus where macOS allows them, or fall back to the Finder...

Read more about CreateFiles+

Features and specs

What each product offers, as listed by its team.

MLKit 4 features
CreateFiles+ 4 features
  • Feature-Rich
    MLKit offers a wide range of functionalities including text recognition, barcode scanning, image labeling, and face detection, making it a robust choice for various machine learning tasks.
  • Ease of Integration
    The library is designed with a user-friendly API that simplifies the integration of machine learning capabilities into Android applications.
  • Regular Updates
    Frequent updates ensure that the library stays current with the latest advancements in technology and addresses any vulnerabilities or performance issues.
  • Open-Source
    Being open-source allows developers to contribute to and modify the library as needed, fostering a community of collaboration and improvement.

Possible disadvantages

  • Platform Limitation
    MLKit is tailored specifically for Android, which may limit its applicability if cross-platform compatibility is required.
  • Documentation
    Although the library is feature-rich, some users have reported that the documentation could be more comprehensive, which might hinder new users.
  • Performance Overhead
    Integrating advanced features may lead to increased resource consumption, potentially affecting the performance of the host application.
  • Community Size
    Compared to more established machine learning frameworks, MLKit has a relatively smaller user base, which can impact the volume of community support and shared resources.
  • Right-click on Finder
    Today finder does not let you create new files just folders. Our tool allows that in the Menu bar, Finder Menu, and in the body of any folder in macOS.
  • Quick file creation
    using the Flywheel to create new file types
  • Creating batch files
    Allows to create new files in batches up to 100 at a time
  • Folder packs
    Come with the app for different use cases and professions allowing the user to create commonly file types.

Analysis

An editorial look at what each product does well and who it suits.

MLKit
CreateFiles+

Overall verdict

  • MLKit is highly regarded for its ease of use, cross-platform support, and robust set of features tailored for mobile applications. While it may not offer the same level of customization as some other machine learning libraries, it provides an excellent balance of power and simplicity, making it a great choice for mobile developers who want to add machine learning features to their apps without extensive ML expertise.

Why this product is good

  • MLKit is a user-friendly and versatile machine learning library developed by Google that focuses on mobile app development. It offers pre-trained models and on-device inference which makes it suitable for applications needing real-time processing. The library supports both Android and iOS platforms, providing a range of functionalities like image labeling, text recognition, barcode scanning, and more. It simplifies the integration of machine learning capabilities into apps, which appeals to developers looking to enhance their applications quickly and efficiently.

Recommended for

    MLKit is recommended for mobile app developers and development teams who are looking to implement machine learning functionalities into Android and iOS applications. It's particularly suited for those who need pre-trained models and want to handle tasks like image and text recognition or barcode scanning efficiently on-device. It is ideal for applications that require real-time processing and those who prefer an easy-to-integrate solution with reliable performance.

Overall verdict

  • I don't have verified information about CreateFiles+ (createfilesplus.com), as I don't have reliable data on this specific product or service to assess its quality, features, or reputation.

Why this product is good

  • Unable to confirm the legitimacy, functionality, or user reviews of this specific website or tool
  • No verified data available on pricing, features, or customer satisfaction
  • Recommend researching independently through reviews, user forums, and checking domain history before use
  • Consider checking for security certificates, privacy policy, and company transparency

Recommended for

  • Users should conduct their own due diligence before using this service
  • Verify through independent review sites, trust indicators like BBB or Trustpilot if available
  • Check domain age and reputation using tools like WHOIS lookup

Videos

Walkthroughs and reviews on video.

MLKit 1 video + Add
CreateFiles+ 1 video + Add

Android Face Detection using Camera - Google MLKit Face Detection Android Studio - Firebase ML Kit

CreateFiles+ Demo

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
MLKit
CreateFiles+
100% 100%
Data Science And Machine Learning
0% 0%
0% 0%
OS & Utilities
100% 100%
100% 100%
Machine Learning Tools
0% 0%
0% 0%
Productivity
100% 100%

Questions & Answers

As answered by people managing MLKit and CreateFiles+.

Which are the primary technologies used for building your product?

CreateFiles+'s answer:

Xcode and Swift

What makes your product unique?

CreateFiles+'s answer:

macOS should have created this feature out of the box but does not exist. Windows users have had this feature for over a decade. I created this to remove that gap for macOS users.

Why should a person choose your product over its competitors?

CreateFiles+'s answer:

I am not familiar with any competitors doing this today.

How would you describe the primary audience of your product?

CreateFiles+'s answer:

Power Users, Developers, Productivity focused users, students, teachers, creators.

Who are some of the biggest customers of your product?

CreateFiles+'s answer:

Its brand new so that is yet to be determined.

What's the story behind your product?

CreateFiles+'s answer:

I have struggled with not having this capability in Finder for years and decided I would fix the problem for me and then see if other users would want the same solution.

User comments

Share your experience with using MLKit and CreateFiles+. For example, how are they different and which one is better?

Log in or Post with

Alternatives to MLKit and CreateFiles+

When comparing MLKit and CreateFiles+, you can also consider the following products.

Loading...