Mock sample for your project: SelectPdf HTML To PDF API

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.

Use MotaWord API to post and track your translation projects.

NamSor API v2 : enpoints to process personal names (gender, cultural origin or ethnicity) in all alphabets or languages. By default, enpoints use 1 unit per name (ex. Gender), but Ethnicity classification uses 10 to 20 units per name depending on taxonomy. Use GET methods for small tests, but prefer POST methods for higher throughput (batch processing of up to 100 names at a time). Need something you can't find here? We have many more features coming soon. Let us know, we'll do our best to add it!

Random sentences from the complete works of H.P. Lovecraft. CORS-enabled.

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

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

ADVICEment's DynamicDocs API automates your document generation and creates dynamic, optimized, interactive PDFs. Write your templates in LaTeX and call the API with JSON data to get your PDFs in seconds.
The template files are stored in your dashboard and can be edited, tested and published online. Document templates can contain dynamic text using logic statements, include tables stretching multiple pages and show great-looking charts based on the underlying data. LaTeX creates crisp, high-quality documents where every detail is well-positioned and styled.
Integrate with ADVICEment DynamicDocs API in minutes and start creating beautiful dynamic PDF documents for your needs.
For more information, visit DynamicDocs API Home page.

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.

Generate random fake identities (name, address, email, phone , credit card info etc). Click here to subscribe

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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.

Fungenerators taunt generation API generates random taunts / insults, relevant to the given category. Many categories are supported and new ones are added very frequently. Click here to subscribe