Software Alternatives & Reviews

Nyckel VS Swift AI

Compare Nyckel VS Swift AI and see what are their differences

Nyckel logo Nyckel

Easily classify images and text using AI. With Nyckel’s Classification API, you can auto-label anything in just minutes.

Swift AI logo Swift AI

Artificial intelligence and machine learning library written in Swift.
  • Nyckel Image classification
    Image classification //
    2023-12-10
  • Nyckel Intuitive UI
    Intuitive UI //
    2023-12-10
  • Nyckel Text classification
    Text classification //
    2023-12-10
  • Nyckel Easy image classification models
    Easy image classification models //
    2023-12-10

Nyckel makes it easy to auto-label images and text using AI. We say ‘easy’ because trying to do classification through complex “we-do-it-all” AI/ML tools is hard. Especially if you’re not a machine learning expert.

That’s why Nyckel built a platform that makes image and text classification easy for everyone. In just a few minutes, you can train an AI model to identify attributes of any image or text.

Whether you’re sorting through images, moderating text, or needing real-time content labeling, Nyckel lets you build a custom classifier in just 5 minutes. And with our Classification API, you can auto-label at scale.

Nyckel’s goal is to make AI-powered classification a practical tool for anyone. Learn more at Nyckel.com.

  • Swift AI Landing page
    Landing page //
    2023-10-19

Nyckel

Website
nyckel.com
$ Details
freemium
Release Date
2021 April

Swift AI

Website
github.com
Pricing URL
-
$ Details
-
Release Date
-

Nyckel features and specs

  • Image Classification: Yes
  • Text Classification: Yes

Swift AI features and specs

No features have been listed yet.

Nyckel videos

Machine Learning with Nyckel in 60 Seconds

More videos:

  • Review - Create a comment moderation function using machine learning from Nyckel

Swift AI videos

No Swift AI videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Nyckel and Swift AI)
Developer Tools
32 32%
68% 68
AI
29 29%
71% 71
API
100 100%
0% 0
Data Science And Machine Learning

Questions and Answers

As answered by people managing Nyckel and Swift AI.

Who are some of the biggest customers of your product?

Nyckel's answer

Square, Gardyn, Pet Media Group, Taimi

How would you describe your primary audience?

Nyckel's answer

Anyone who needs to automate the manual tagging of text or images.

What's the story behind your product?

Nyckel's answer

Nyckel makes it easy to auto-label images and text using AI. We say ‘easy’ because trying to do classification through complex “we-do-it-all” AI/ML tools is hard. Especially if you’re not a machine learning expert.

That’s why Nyckel built a platform that makes image and text classification easy for everyone. In just a few minutes, you can train an AI model to identify attributes of any image or text.

Whether you’re sorting through images, moderating text, or needing real-time content labeling, Nyckel lets you build a custom classifier in just 5 minutes. And with our Classification API, you can auto-label at scale.

Nyckel’s goal is to make AI-powered classification a practical tool for anyone. Learn more at Nyckel.com.

Why should a person choose your product over its competitors?

Nyckel's answer

Other AI/ML tools are needlessly confusing. Nyckel is the only AI/ML tool focused on enabling anyone to do classification in just minutes.

What makes your product unique?

Nyckel's answer

Easily classify images and text using AI. With Nyckel’s Classification API, you can auto-label anything in just minutes.

User comments

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What are some alternatives?

When comparing Nyckel and Swift AI, you can also consider the following products

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TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.

Swift Playgrounds - Learn serious code on your iPad in a seriously fun way