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

ocrapi

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.

api.datumbox.com

EasyPDFServer

For more information on how to use these APIs, including how to create an API key required for authentication, see Alma REST APIs.

Ex Libris APIs

Exude API is an Open Source project, It is used for the primary ways for filtering the stopping, stemming words from the text data. This API is in a very basic level of development need to work on for later changes.

Exude API Service

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

API v1

Generate Barcode images for a given barcode number. You can decode Barcode images and get the barcodes in a numberic form as well. Many industry standard barcode types are supported. The best and complete Barcode API on the cloud. Click here to subscribe

Barcode API

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

Fake identity generation API

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

Random Lottery Number generator API

Fungenerators name generation API generates random names relevant to the given category. Lots of categories are supported with many variations supported. Click here to subscribe

Name Generation API

Ahoy matey! We help the landlubbers to get to know about the seamen way! You can generate pirate names, get some real pirate insults and pirate filler text. Oh you can translate to pirate lingo as well. Click here to subscribe

Pirates API

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

Fun Generators API

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

Facts API

Shakespeare API. Generate random Shakespeare quotes, names, insults, lorem ipsum etc. Translate normal English to Shakespeare English. Click here to subscribe

Shakespeare API

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

Taunt as a service

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

UUID Generation API

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

FunTranslations Braille API

Funtranslations API gives access to the full set of translations available at funtranslations.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: Morse code API Morse code conversion API on the cloud. Translate to and from Morse Code.Click here to subscribe Braille API Braille conversion API on the cloud. Translate to Braille and get Braille results suitable for many display types.Click here to subscribe Starwars Translation API Ever wonder how to talk like Yoda? Well, use our API and let your APP/webpage speak like Yoda too.Click here to subscribe Sith Translator API. Click here to subscribe Cheunh Translator API. Click here to subscribe Huttese Translator API. Click here to subscribe Mandalorian Translator API. Click here to subscribe Gungan Translator API. Click here to subscribe Pirate Speak Translation API Ahoy, matey. Let's get those land lubbers speak our tounge too! Our evergreen pirate speak tranlsator API.Click here to subscribe Valley Speak Translation API Our throwback Valspeak translations API.Click here to subscribe Minion Speak Translation API Our evil master following minion speak translations API.Click here to subscribe

FunTranslations API

Funtranslations Starwars API gives access to the full set of starwars language translations available at funtranslations.com so that you can integrate them in your workflow or an app. Click here to get details and subscribe . You can also subscribe to individual translators. Here are the details. Ever wonder how to talk like Yoda? Well, use our API and let your APP/webpage speak like Yoda too.Click here to subscribe Sith Translator API. Click here to subscribe Cheunh Translator API. Click here to subscribe Huttese Translator API. Click here to subscribe Mandalorian Translator API. Click here to subscribe Gungan Translator API. Click here to subscribe

Starwars Translations API

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

Geneea Natural Language Processing

This is the Handwrytten API for sending cards written in the handwriting of your choice. Using this api, you can send cards to users. You can also customize cards with logos, which can be saved and then used like any other card in the system. For a "sandbox" account, please contact contact@handwrytten.com To move from credit card per-transaction to monthly invoicing, also contact us. https://www.handwrytten.com

Handwrytten API

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.

LanguageTool API

LibreTranslate

Use MotaWord API to post and track your translation projects.

MotaWord API

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!

NamSor API v2

Neutrino API

NLPCloud

Oxford Dictionaries

Palabras aleatorias

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.

PDF Blocks API

PdfBroker.io is an api for creating pdf files from Xsl-Fo or Html and other useful pdf utilities.

PdfBroker.io API

Introduction PDF Generator API allows you easily generate transactional PDF documents and reduce the development and support costs by enabling your users to create and manage their document templates using a browser-based drag-and-drop document editor. The PDF Generator API features a web API architecture, allowing you to code in the language of your choice. This API supports the JSON media type, and uses UTF-8 character encoding. You can find our previous API documentation page with references to Simple and Signature authentication here. Base URL The base URL for all the API endpoints is https://us1.pdfgeneratorapi.com/api/v3 For example https://us1.pdfgeneratorapi.com/api/v3/templates https://us1.pdfgeneratorapi.com/api/v3/workspaces https://us1.pdfgeneratorapi.com/api/v3/templates/123123 Editor PDF Generator API comes with a powerful drag & drop editor that allows to create any kind of document templates, from barcode labels to invoices, quotes and reports. You can find tutorials and videos from our Support Portal. Component specification Expression Language documentation Frequently asked questions and answers Definitions Organization Organization is a group of workspaces owned by your account. Workspace Workspace contains templates. Each workspace has access to their own templates and organization default templates. Master Workspace Master Workspace is the main/default workspace of your Organization. The Master Workspace identifier is the email you signed up with. Default Template Default template is a template that is available for all workspaces by default. You can set the template access type under Page Setup. If template has "Organization" access then your users can use them from the "New" menu in the Editor. Data Field Data Field is a placeholder for the specific data in your JSON data set. In this example JSON you can access the buyer name using Data Field {paymentDetails::buyerName}. The separator between depth levels is :: (two colons). When designing the template you don’t have to know every Data Field, our editor automatically extracts all the available fields from your data set and provides an easy way to insert them into the template. Testing with JWTs You can create a temporary token in Account Settings page after you login to PDF Generator API. The generated token uses your email address as the subject (sub) value and is valid for 5 minutes. You can also use jwt.io to generate test tokens for your API calls. These test tokens should never be used in production applications. Libraries and SDKs Postman Collection We have created a Postman Collection so you can easily test all the API endpoints wihtout developing and code. You can download the collection here or just click the button below. Run in Postman Client Libraries All our Client Libraries are auto-generated using OpenAPI Generator which uses the OpenAPI v3 specification to automatically generate a client library in specific programming language. PHP Client Java Client Ruby Client Python Client Javascript Client We have validated the generated libraries, but let us know if you find any anomalies in the client code. Error codes | Code | Description | |--------|--------------------------------| | 401 | Unauthorized | | 403 | Forbidden | | 404 | Not Found | | 422 | Unprocessable Entity | | 500 | Internal Server Error | 401 - Unauthorized | Description | |-------------------------------------------------------------------------| | Authentication failed: request expired | | Authentication failed: workspace missing | | Authentication failed: key missing | | Authentication failed: property 'iss' (issuer) missing in JWT | | Authentication failed: property 'sub' (subject) missing in JWT | | Authentication failed: property 'exp' (expiration time) missing in JWT | | Authentication failed: incorrect signature | 403 - Forbidden | Description | |-------------------------------------------------------------------------| | Your account has exceeded the monthly document generation limit. | | Access not granted: You cannot delete master workspace via API | | Access not granted: Template is not accessible by this organization | | Your session has expired, please close and reopen the editor. | 404 Entity not found | Description | |-------------------------------------------------------------------------| | Entity not found | | Resource not found | | None of the templates is available for the workspace. | 422 Unprocessable Entity | Description | |-------------------------------------------------------------------------| | Unable to parse JSON, please check formatting | | Required parameter missing | | Required parameter missing: template definition not defined | | Required parameter missing: template not defined |

PDF Generator API

Poemist API

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

Random Lovecraft

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.

DynamicDocs

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

Football Prediction API

Hyperlocal Demographics, Vehicle Traffic, Economic, Market Signals, and More. Use this API to request IdealSpot hyperlocal geospatial market insight and geometry data. Detailed Description Use this API as your local economy microscope by querying IdealSpot hyperlocal market insight and geometry data. We offer the most precise, extensive, and frequently-updated local market data in the US. Our data is available across the entire US and can be queried at geographic scales ranging from the micro (Census block) through the macro (nation). Better data and analysis leads to a better understanding of local market opportunities and risks. Integrate with your commercial real estate and marketing applications, machine learning workflows, and other investment analytics. Our goal is to offer the most complete snapshot of the geographically distributed consumer and retail economy. We start with the fundamentals of consumers and business establishments. To connect retailers with consumers, we provide mobility data like vehicle traffic and mobile device data. To describe consumer intent, we provide geolocated digital marketing data. We believe that accurate capital allocation through reliable local market data is foundational to creating robust, healthy, and livable communities for all. We hope you and your clients find tremendous value in this service. Features Query data and GeoJSON geometries at these scales for any US latitude and longitude: Rings (0.5 km+) Drive time (1-60 minutes) Bike time (3-60 minutes) Walk time (5-60 minutes) Public transit time (5-60 minutes) Administrative region (US, states, core-based statistical areas, counties, Census-designated places, Census tracts, zipcodes, Census block groups, opportunity zones) | Data Feature | Description | | ------- | ------------------------------| | Demographics, Housing, Spending | Updated Quarterly. Current and historical market data including population, spending, and housing. Vendor (PopStats) is relied upon by Walgreens, Ulta Beauty, Blackstone, etc | | Labor, Business Establishments, Economic Conditions | Updated Quarterly. Traditional market data including workforce, business establishment counts, and economic conditions like local GDP, unemployment rates. Vendor (PopStats) is relied upon by Walgreens, Ulta Beauty, Blackstone, etc | | Consumer segmentation	| Updated Annually. Demographics grouped into narrative-oriented segments. | | Vehicle Traffic |	Updated semi-annually. Gold standard in vehicle traffic data from INRIX. Counts by day of week, time of day and side of street. | | Rings and Travel time polygons | Estimate in Real-time. Rings alongside drive time, walk time, bike time, and public transit time polygons. Request as GeoJSON geometries for mapping or use with data queries | | Administrative region polygons | Updated Annually. GeoJSON administrative regions from US Census Bureau: block groups, tracts, counties, CBSAs, states, opportunity zones, USPS zipcodes | | Internet Search Volumes | 30 day rolling averages for geolocated advertising potential across 450 business categories from major search engines | | Social Media Interest	| 30 day rolling average for geolocated advertising potential across 450 business categories from major social networks | Coming Soon! This API powers our local market research platform at IdealSpot.com. The functionality exposed so far is only a portion of our current capabilities. We will be exposing additional API features in time so watch this space! | Data Feature | Description | | ------- | ------------------------------| Mobile device visit counts, points of interest, brands | Fresh point of interest data across 3000+ brands, millions of POI, and historical foot traffic counts using mobile data for those points of interest Origin/destination trips from mobile devices | Map origins and destinations of devices visiting an arbitrary catchment area Competition search | Search all major point-of-interest aggregators in one query Environment/climate | Expected weather patterns like temperature and precipitation Filter search API | Query data for all counties in state, all tracts in MSA, etc Road segment tiles | Plot road segments on maps in interactive applications Developer Website For more detail see https://developer.idealspot.com/

IdealSpot GeoData

Automatic language detection for any texts. Supports over 150 languages.

Language Identification (Prediction)

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.

Asynchronous Speech-To-Text API Documentation

Provided by Salesforce � Copyright 2000�2020 salesforce.com, inc. All rights reserved. Salesforce is a registered trademark of salesforce.com, inc., as are other names and marks. Other marks appearing herein may be trademarks of their respective owners. Last updated: Aug 17, 2020

Einstein Vision and Einstein Language

SelectPdf HTML To PDF Online REST API is a professional solution that lets you create PDF from web pages and raw HTML code in your applications. The API is easy to use and the integration takes only a few lines of code.

SelectPdf HTML To PDF API

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

Semantria

We aim to provide the deepest understanding of people through psychology & AI

Psycholinguistic Text Analytics

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

TAGGUN Receipt OCR Scanning API

The current api version is v3.4 The api methods listed below can be called directly from this page to test the output. You might set the api_key to pre-authenticate all requests on this page (this will work if your secret is blank). API endpoint URL: http://{apiName}.text2data.com/v3/ {method} The api can be consumed directly or using our SDK. Our Excel Add-In and Google Sheets Add-on are also using this api to process the data.

Text Analytics & Sentiment Analysis API | api.text2data.com

Tisane is a natural language processing library, providing: standard NLP functionality special functions for detection of problematic or abusive content low-level NLP like morphological analysis and tokenization of no-space languages (Chinese, Japanese, Thai) Tisane has monolithic architecture. All the functions are exposed using the same language models and the same analysis process invoked using the POST /parse method. Other methods in the API are either wrappers based on the process, helper methods, or allow inspection of the language models. The current section of the documentation describes the two structures used in the parsing & transformation methods. Getting Started This guide describes how to setup your Tisane account. The steps you need to complete are as follows: Step 1 – Create an Account Step 2 – Save Your API Key Step 3 – Integrate the API Step 1 – Create an Account Navigate to Sign up to Tisane API. The free Community Plan allows up to 50,000 requests but comes with a limitation of 10 requests per minute. Step 2 - Save Your API Key You will need the API key to make requests. Open your Developer Profile to find your API keys. Step 3 - Integrate with the API In summary, the POST /parse method has 3 attributes: content, language, and settings. All 3 attributes are mandatory. For example: {"language": "en", "content": "hello", "settings": {}} Read on for more info on the response and the settings specs. The method doc pages contain snippets of code for your favorite languages and platforms. Response Reference The response of the POST /parse method contains several sections displayed or hidden according to the settings provided. The common attributes are: text (string) - the original input reduced_output (boolean) - if the input is too big, and verbose information like the lexical chunk was requested, the verbose information will not be generated, and this flag will be set to true and returned as part of the response sentiment (floating-point number) - a number in range -1 to 1 indicating the document-level sentiment. Only shown when document_sentiment setting is set to true. signal2noise (floating-point number) - a signal to noise ranking of the text, in relation to the array of concepts specified in the relevant setting. Only shown when the relevant setting exists. Abusive or Problematic Content The abuse section is an array of detected instances of content that may violate some terms of use. NOTE: the terms of use in online communities may vary, and so it is up to the administrators to determine whether the content is indeed abusive. For instance, it makes no sense to restrict sexual advances in a dating community, or censor profanities when it's accepted in the bulk of the community. The section exists if instances of abuse are detected and the abuse setting is either omitted or set to true. Every instance contains the following attributes: offset (unsigned integer) - zero-based offset where the instance starts length (unsigned integer) - length of the content sentence_index (unsigned integer) - zero-based index of the sentence containing the instance text (string) - fragment of text containing the instance (only included if the snippets setting is set to true) tags (array of strings) - when exists, provides additional detail about the abuse. For instance, if the fragment is classified as an attempt to sell hard drugs, one of the tags will be harddrug_. type (string) - the type of the abuse severity (string) - how severe the abuse is. The levels of severity are low, medium, high, and extreme explanation (string) - when available, provides rationale for the annotation; set the explain setting to true to enable. The currently supported types are: personal_attack - an insult / attack on the addressee, e.g. an instance of cyberbullying. Please note that an attack on a post or a point, or just negative sentiment is not the same as an insult. The line may be blurred at times. See our Knowledge Base for more information. bigotry - hate speech aimed at one of the protected classes. The hate speech detected is not just racial slurs, but, generally, hostile statements aimed at the group as a whole profanity - profane language, regardless of the intent sexual_advances - welcome or unwelcome attempts to gain some sort of sexual favor or gratification criminal_activity - attempts to sell or procure restricted items, criminal services, issuing death threats, and so on external_contact - attempts to establish contact or payment via external means of communication, e.g. phone, email, instant messaging (may violate the rules in certain communities, e.g. gig economy portals, e-commerce portals) adult_only - activities restricted for minors (e.g. consumption of alcohol) mental_issues - content indicative of suicidal thoughts or depression spam - (RESERVED) spam content generic - undefined Sentiment Analysis The sentiment_expressions section is an array of detected fragments indicating the attitude towards aspects or entities. The section exists if sentiment is detected and the sentiment setting is either omitted or set to true. Every instance contains the following attributes: offset (unsigned integer) - zero-based offset where the instance starts length (unsigned integer) - length of the content sentence_index (unsigned integer) - zero-based index of the sentence containing the instance text (string) - fragment of text containing the instance (only included if the snippets setting is set to true) polarity (string) - whether the attitude is positive, negative, or mixed. Additionally, there is a default sentiment used for cases when the entire snippet has been pre-classified. For instance, if a review is split into two portions, What did you like? and What did you not like?, and the reviewer replies briefly, e.g. The quiet. The service, the utterance itself has no sentiment value. When the calling application is aware of the intended sentiment, the default sentiment simply provides the targets / aspects, which will be then added the sentiment externally. targets (array of strings) - when available, provides set of aspects and/or entities which are the targets of the sentiment. For instance, when the utterance is, The breakfast was yummy but the staff is unfriendly, the targets for the two sentiment expressions are meal and staff. Named entities may also be targets of the sentiment. reasons (array of strings) - when available, provides reasons for the sentiment. In the example utterance above (The breakfast was yummy but the staff is unfriendly), the reasons array for the staff is ["unfriendly"], while the reasons array for meal is ["tasty"]. explanation (string) - when available, provides rationale for the sentiment; set the explain setting to true to enable. Example: Context-Aware Spelling Correction Tisane supports automatic, context-aware spelling correction. Whether it's a misspelling or a purported obfuscation, Tisane attempts to deduce the intended meaning, if the language model does not recognize the word. When or if it's found, Tisane adds the correctedtext attribute to the word (if the words / lexical chunks are returned) and the sentence (if the sentence text is generated). Sentence-level correctedtext is displayed if words or parses are set to true. Note that as Tisane works with large dictionaries, you may need to exclude more esoteric terms by using the mingenericfrequency setting. Note that the invocation of spell-checking does not depend on whether the sentences and the words sections are generated in the output. The spellchecking can be disabled by setting disablespellcheck to true. Another option is to enable the spellchecking for lowercase words only, thus excluding potential proper nouns in languages that support capitalization; to avoid spell-checking capitalized and uppercase words, set lowercasespellcheck_only to true. Settings Reference The purpose of the settings structure is to: provide cues about the content being sent to improve the results customize the output and select sections to be shown define standards and formats in use define and calculate the signal to noise ranking All settings are optional. To leave all settings to default, simply provide an empty object ({}). Content Cues and Instructions format (string) - the format of the content. Some policies will be applied depending on the format. Certain logic in the underlying language models may require the content to be of a certain format (e.g. logic applied on the reviews may seek for sentiment more aggressively). The default format is empty / undefined. The format values are: review - a review of a product or a service or any other review. Normally, the underlying language models will seek for sentiment expressions more aggressively in reviews. dialogue - a comment or a post which is a part of a dialogue. An example of a logic more specific to a dialogue is name calling. A single word like "idiot" would not be a personal attack in any other format, but it is certainly a personal attack when part of a dialogue. shortpost - a microblogging post, e.g. a tweet. longform - a long post or an article. proofread - a post which was proofread. In the proofread posts, the spellchecking is switched off. alias - a nickname in an online community. search - a search query. Search queries may not always be grammatically correct. Certain topics and items, that we may otherwise let pass, are tagged with the search format. disable_spellcheck (boolean) - determines whether the automatic spellchecking is to be disabled. Default: false. lowercasespellcheckonly (boolean) - determines whether the automatic spellchecking is only to be applied to words in lowercase. Default: false mingenericfrequency (int) - allows excluding more esoteric terms; the valid values are 0 thru 10. subscope (boolean) - enables sub-scope parsing, for scenarios like hashtag, URL parsing, and obfuscated content (e.g. ihateyou). Default: false. domainfactors (set of pairs made of strings and numbers) - provides a session-scope cues for the domains of discourse. This is a powerful tool that allows tailoring the result based on the use case. The format is, family ID of the domain as a key and the multiplication factor as a value (e.g. "12345": 5.0). For example, when processing text looking for criminal activity, we may want to set domains relevant to drugs, firearms, crime, higher: "domainfactors": {"31058": 5.0, "45220": 5.0, "14112": 5.0, "14509": 3.0, "28309": 5.0, "43220": 5.0, "34581": 5.0}. The same device can be used to eliminate noise coming from domains we know are irrelevant by setting the factor to a value lower than 1. when (date string, format YYYY-MM-DD) - indicates when the utterance was uttered. (TO BE IMPLEMENTED) The purpose is to prune word senses that were not available at a particular point in time. For example, the words troll, mail, and post had nothing to do with the Internet 300 years ago because there was no Internet, and so in a text that was written hundreds of years ago, we should ignore the word senses that emerged only recently. Output Customization abuse (boolean) - output instances of abusive content (default: true) sentiment (boolean) - output sentiment-bearing snippets (default: true) document_sentiment (boolean) - output document-level sentiment (default: false) entities (boolean) - output entities (default: true) topics (boolean) - output topics (default: true), with two more relevant settings: topic_stats (boolean) - include coverage statistics in the topic output (default: false). When set, the topic is an object containing the attributes topic (string) and coverage (floating-point number). The coverage indicates a share of sentences touching the topic among all the sentences. optimize_topics (boolean) - if true, the less specific topics are removed if they are parts of the more specific topics. For example, when the topic is cryptocurrency, the optimization removes finance. words (boolean) - output the lexical chunks / words for every sentence (default: false). In languages without white spaces (Chinese, Japanese, Thai), the tokens are tokenized words. In languages with compounds (e.g. German, Dutch, Norwegian), the compounds are split. fetch_definitions (boolean) - include definitions of the words in the output (default: false). Only relevant when the words setting is true parses (boolean) - output parse forests of phrases deterministic (boolean) - whether the n-best senses and n-best parses are to be output in addition to the detected sense. If true, only the detected sense will be output. Default: true snippets (boolean) - include the text snippets in the abuse, sentiment, and entities sections (default: false) explain (boolean) - if true, a reasoning for the abuse and sentiment snippets is provided when possible (see the explanation attribute) Standards and Formats feature_standard (string) - determines the standard used to output the features (grammar, style, semantics) in the response object. The standards we support are: ud: Universal Dependencies tags (default) penn: Penn treebank tags native: Tisane native feature codes description: Tisane native feature descriptions Only the native Tisane standards (codes and descriptions) support style and semantic features. topic_standard (string) - determines the standard used to output the topics in the response object. The standards we support are: iptc_code - IPTC topic taxonomy code iptc_description - IPTC topic taxonomy description iab_code - IAB topic taxonomy code iab_description - IAB topic taxonomy description native - Tisane domain description, coming from the family description (default) sentimentanalysistype (string) - (RESERVED) the type of the sentiment analysis strategy. The values are: productsandservices - most common sentiment analysis of products and services entity - sentiment analysis with entities as targets creativecontentreview - reviews of creative content political_essay - political essays Signal to Noise Ranking When we're studying a bunch of posts commenting on an issue or an article, we may want to prioritize the ones more relevant to the topic, and containing more reason and logic than emotion. This is what the signal to noise ranking is meant to achieve. The signal to noise ranking is made of two parts: Determine the most relevant concepts. This part may be omitted, depending on the use case scenario (e.g. we want to track posts most relevant to a particular set of issues). Rank the actual post in relevance to these concepts. To determine the most relevant concepts, we need to analyze the headline or the article itself. The headline is usually enough. We need two additional settings: keyword_features (an object of strings with string values) - determines the features to look for in a word. When such a feature is found, the family ID is added to the set of potentially relevant family IDs. stophypernyms (an array of integers) - if a potentially relevant family ID has a hypernym listed in this setting, it will not be considered. For example, we extracted a set of nouns from the headline, but we may not be interested in abstractions or feelings. E.g. from a headline like Fear and Loathing in Las Vegas_ we want Las Vegas only. Optional. If keyword_features is provided in the settings, the response will have a special attribute, relevant, containing a set of family IDs. At the second stage, when ranking the actual posts or comments for relevance, this array is to be supplied among the settings. The ranking is boosted when the domain, the hypernyms, or the families related to those in the relevant array are mentioned, when negative and positive sentiment is linked to aspects, and penalized when the negativity is not linked to aspects, or abuse of any kind is found. The latter consideration may be disabled, e.g. when we are looking for specific criminal content. When the abusenotnoise parameter is specified and set to true, the abuse is not penalized by the ranking calculations. To sum it up, in order to calculate the signal to noise ranking: Analyze the headline with keywordfeatures and, optionally, stophypernyms in the settings. Obtain the relevant attribute. When analyzing the posts or the comments, specify the relevant attribute obtained in step 1.

Tisane API Documentation

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 support@visiblethread.com 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.

VisibleThread API

The Word Associations Network API allows developers to embed the ability to find associations for a word or phrase into their mobile apps or web services. Words are grouped by semantics, meaning, and psychological perception. The Word Associations Network API currently supports English, French, Spanish, German, Italian, Portuguese, and Russian vocabulary. Please register and subscribe to one of available tariff plans to get a valid API key.

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