Mock sample for your project: LanguageTool API

Introduction
The VisibleThread b API provides services for analyzing/searching documents and web pages.
To use the service you need an API key.
Contact us at [email protected] to request an API key.
The services are split into Documents and Webscans.
Documents
Upload documents and dictionaries so you can :
Measure the readability of your document
search a document for all terms from a dictionary
retrieve all paragraphs from a document or only matching paragraphs
Webscans
Analyze web pages so you can:
Measure the readability of your web content
Identify & highlight content issues e.g. long sentences, passive voice
The VisibleThread API allows you to programatially submit webpage urls to be scanned,
check on the results of a scan, and view a list of previous scans you have performed.
The VisibleThread API is a HTTP-based JSON API, accessible at https://api.visiblethread.com
Each request to the service requires your API key to be successful.
Getting Started With Webscans
Steps:
Enter your API key above and hit Explore.
Run a new scan by submitting a POST to /webscans (title and some webUrls are required).
The scan runs asynchronously in the background but returns immediately with a JSON response containing an "id" that represents your scan.
Check on the status of a scan by submitting GET /webscans/{scanId}, if the scan is still in progress it will return a HTTP 503. If
it is complete it will return a HTTP 200 with the appropriate JSON outlining the urls scanned and the summary statistics for each url.
Retrieve all your previous scan results by submitting GET /webscans.
Retrieve detailed results for a url within a scan (readability, long sentence and passive language instances) by submitting
GET /webscans/{scanId}/webUrls/{urlId} (scanId and urlId are required)
Getting Started With Document scans:
Steps:
Enter your API key above and hit Explore
Run a new scan by submitting a POST to /documents (document required). The scan runs asynchronously in the background but returns
immediately with a JSON response containins an "id" that represents your scan
Check on the status of a scan by submitting GET /documents/{scanId}, if the scan is still in progress it will return a HTTP 503. If
it is complete it will return a HTTP 200 with the appropriate JSON outlining the document readability results. It will contain detailed
analysis of each paragraph in the document
Retrieve all your previous scan results by submitting GET /documents
Searching a document for keywords
The VisibleThread API allows you to upload a set of keywords or a 'dictionary'. You can then perform a search of a already uploaded document
using that dictionary
Steps (Assuming you have uploaded your document using the steps above):
Upload a csv file to use as a keyword dictionary by submitting a POST to /dictionaries (csv file required). This returns a JSON
response with the dictionary Id
Search a document with the dictionary by submitting a POST to /searches (document id and dictionary id required).
Get the resuhlts of the search by submitting **GET /searches/{docId}/{dictionaryId}" . This will return JSON response containing
detailed results of searching the document using the dictionary.
To view the list of all searches you have performed submit a GET /searches.
Below is a list of the available API endpoints, documentation & a form to try out each operation.

DocSpring is a service that helps you fill out and sign PDF templates.

A full featured Facts API. REST access with json/xml/jsonp result support. On this day birth and death support, random fact, keyword search support etc. Below is the documentation for the Random Facts API calls. You can try them out right here. Click here to subscribe

Braille conversion API on the cloud. Translate from English text to Braille and get Braille results suitable for many display types.Click here to subscribe

Semantria applies Text and Sentiment Analysis to tweets, facebook posts, surveys, reviews or enterprise content.

The powerful Optical Character Recognition (OCR) APIs let you convert scanned images of pages into recognized text.

Fungenerators API gives access to the full set of generators available at fungenerators.com so that you can integrate them in your workflow or an app. Click here to get details and subscribe . Here are the individual API links:
QR Code API
Generate QR Code images for text, url, email , business cards etc. You can decode QR Code images and get the contents as well. The best and complete QR Code API on the cloud. Click here to subscribe

PDF Blocks is a secure, reliable, and fast API to work with PDF documents. Actions include: Merge PDF documents, add or remove passwords, add watermarks, remove, extract, reverse, and rotate pages, and more.

Rev.ai provides quality speech-text recognition via a RESTful API. All public methods and objects are documented here for developer reference.
For a real-time speech to text solution, use Rev.ai's Streaming API.
Base Endpoint
The base url for this version of the API is
> https://api.rev.ai/speechtotext/v1
All endpoints described in this documentation are relative to this base url.
Quick Start
Follow the getting started checklist
Get your Access Token
You can generate your access token on the settings page of your account. This access token only needs to be generated once and never expires. You can re-generate your token, however this will invalidate the previous token.
Submit a File
To submit an audio file for transcription to Rev.ai:
Retrying Failed Requests
Some errors can be resolved simply by retrying the request. The following error codes are likely to be resolved with successive retries.
| Status Code | Error |
|---|:---|
| 429 | Too Many Requests |
| 502 | Bad Gateway |
| 503 | Service Unavailable |
| 504 | Gateway Timeout |
Note: With the exception of the 429 status code, it is recommended that the maximum number of retries be limited to 5 attempts per request. The number of retries can be higher
for 429 errors but if you notice consistent throttling please contact us at.

The Football Prediction API allows developers to get predictions for upcoming football (soccer) matches, results for past matches, and performance monitoring for statistical models.

Datumbox offers a Machine Learning platform composed of 14 classifiers and Natural Language processing functions. Functions include sentiment analysis, topic classification, readability assessment, language detection, and much more.