Mock sample for your project: API v1

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

Check texts for style and grammar issues with LanguageTool. Please consider the following default limitations: your daily request limit depending on your plan maximum number of requests per minute: 20 (free) / 80 (Premium) maximum number of characters per minute: 75,000 (free) / 300,000 (Premium) maximum number of characters per request: 20,000 (free) / 60,000 (Premium) for the free version, also consider the limitations documented here Note: any parameters or outputs not part of this documentation are internal and must not be relied on Need more generous limits? Just contact us.

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.

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.

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.

Expects only running software, real reactions, and beautifully crafted APIs to serve your every desire to transcribe a piece of paper to digital form.

An API Rest to get random words

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

Below is the documentation for the API calls. You can try them out right here.

Authentication
For all calls, supply your API key. Sign up to obtain the key .
Our API supports both unencrypted (HTTP) and encrypted (HTTPS) protocols.
However, for security reasons, we strongly encourage using only the encrypted version.
The API key should be supplied as either a request parameter user_key or in Authorization header.
Authorization: user_key
API operations
All API operations can perform analysis on supplied raw text or on text extracted from a given URL.
Optionally, one can supply additional information which can make the result more precise. An example
of such information would be the language of text or a particular text extractor for URL resources.
The supported types of analyses are:
lemmatization ⟶
Finds out lemmata (basic forms) of all the words in the document.
correction ⟶
Performs correction (diacritization) on all the words in the document.
topic detection ⟶
Determines a topic of the document, e.g. finance or sports.
sentiment analysis ⟶
Determines a sentiment of the document, i.e. how positive or negative the document is.
named entity recognition ⟶
Finds named entities (like person, location, date etc.) mentioned the the document.
Encoding
The supplied text is expected to be in UTF-8 encoding, this is especially important for non-english texts.
Returned values
The API calls always return objects in serialized JSON format in UTF-8 encoding.
If any error occurs, the HTTP response code will be in the range 4xx (client-side error) or
5xx (server-side error). In this situation, the body of the response will contain information
about the error in JSON format, with exception and message values.
URL limitations
All the requests are semantically GET. However, for longer texts, you may run into issues
with URL length limit. Therefore, it's possible to always issue a POST request with all
the parameters encoded as a JSON in the request body.
Example:
POST /s1/sentiment
Content-Type: application/json
{"text":"There is no harm in being sometimes wrong - especially if one is promptly found out."}
This is equivalent to GET /s1/sentiment?text=There%20is%20no%20harm...
Request limitations
The API has other limitations concerning the size of the HTTP requests. The maximum allowed size of any
POST request body is 512 KiB. For request with a URL resource, the maximum allowed number of
extracted characters from each such resource is 100,000.
Terms of Service
By using the API, you agree to our
Terms of Service Agreement.
More information
The Interpretor Public Documentation

The Digital Linguistics (DLx) REST API

A full featured, REST based UUID generator with json/xml/jsonp result support. You can try them out right here. Click here to subscribe