Mock sample for your project: Shotstack API

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Shotstack

shotstack.io

Version: v1


Use this API in your project

Integrate third-party APIs faster by using "Shotstack API" ready-to-use mock sample. Mocking this API will help you accelerate your development lifecycles and improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.
It also helps reduce your dependency on third-party APIs: no more accounts to create, API keys to provision, accesses to configure, unplanned downtime, etc.

Description

Shotstack is a video, image and audio editing service that allows for the automated generation of videos, images and audio using JSON and a RESTful API.
You arrange and configure an edit and POST it to the API which will render your media and provide a file location when complete.
For more details visit shotstack.io or checkout our getting started documentation.
There are two main API's, one for editing and generating assets (Edit API) and one for managing hosted assets (Serve API).
The Edit API base URL is: https://api.shotstack.io/{version}
The Serve API base URL is: https://api.shotstack.io/serve/{version}

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Introduction
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Operations
The API allows for the /similarity/bysong operation, which allows clients to search the similarity for an existing song in the database. Also, the API has an additional /similarity/bycontent endpoint which allows clients to search similarity given a free String input through a JSON request body. Additional /song/search operation is available for searching songs given a query String.
Endpoint
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.
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> 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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