Mock sample for your project: Deep Art Effects API
Integrate with "Deep Art Effects API" from deeparteffects.com in no time with Mockoon's ready to use mock sample
Deep Art Effects
deeparteffects.com
Version: 2017-02-10T162446Z
Start working with "Deep Art Effects API" right away by using this ready-to-use mock sample. API mocking can greatly speed up your application development by removing all the tedious tasks or issues: API key provisioning, account creation, unplanned downtime, etc.
It also helps reduce your dependency on third-party APIs and improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.
Description
Other APIs in the same category
Getty Images
gettyimages.com
My Business Verifications API
The My Business Verifications API provides an interface for taking verifications related actions for locations.
BigQuery Connection API
Allows users to manage BigQuery connections to external data sources.
Blogger API
The Blogger API provides access to posts, comments and pages of a Blogger blog.
Assured Workloads API
Ad Exchange Buyer API
Accesses your bidding-account information, submits creatives for validation, finds available direct deals, and retrieves performance reports.
Game Services API
Deploy and manage infrastructure for global multiplayer gaming experiences.
Google Search Console API
The Search Console API provides access to both Search Console data (verified users only) and to public information on an URL basis (anyone)
SearchLy API v1
Introduction
The SearchLy API provides similarity searching based on song lyrics.
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.
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.
The SearchLy API provides similarity searching based on song lyrics.
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.
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.