Mock sample for your project: Use a [New Version](https://icons8.github.io/icons8-docs/) Instead API

Integrate with "Use a [New Version](https://icons8.github.io/icons8-docs/) Instead API" from icons8.com in no time with Mockoon's ready to use mock sample

Use a [New Version](https://icons8.github.io/icons8-docs/) Instead

icons8.com

Version: 1.0.0


Use this API in your project

Speed up your application development by using "Use a [New Version](https://icons8.github.io/icons8-docs/) Instead API" ready-to-use mock sample. Mocking this API will help you accelerate your development lifecycles and allow you to stop relying on an external API to get the job done. No more API keys to provision, accesses to configure or unplanned downtime, just work.
Enhance your development infrastructure by mocking third party APIs during integrating testing.

Description

Icons8 API
Icons8 API allows us to search and obtain our icons.
You're welcome to use our icons to extend the functionality of your web and mobile applications, website templates, and even tattoos.
Tattoos
Usage Examples
Some examples of what you can do with our icons:
Template customization. This way, Canva uses our icons to customize their layouts.
Graphics and text editors. Gravit allows to insert our icons into the mockups.
Any application with customization. TimeTune uses our icons to customize the activities.
Getting Started
To get started, please contact us to obtain an API key.
Pricing
Our API license starts at $100/month.

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The API endpoint for the SearchLy API v1 is as follows:
Motivation
This project was built in order to create an API for searching similarities based on song lyrics. There are a lot of songs in the industry and most of them are talking about the same topic. What I wanted to prove with SearchLy was to estimate how similar are two songs between them based on the meaning of their lyrics.
SearchLy is using a database of 100k songs from AZLyrics, using this scraper, which is being updated periodically. Then, using word2vec and NMSLIB, it was possible to create an index where you can search similarities using the k-nearest neighbors (KNN) algorithm.
> Note: I am currently using a micro-instance from DigitalOcean where the API is deployed, so you should expect a bad performance. However, if this API becomes popular I will deploy it in a bigger instance.
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