Online Term Extractors

This page provides a set of free terminology extraction tools available online.


Online Terminology Extraction is the extraction of terms from a text through a web service based on linguistic and/or statistical routines and algorithms. Given some text it will return a list of terms with (hopefully) the most relevant first. Terms can be returned in a variety of formats and can be used for a variety of things:
  • Customisation of a Machine Translation system;
  • Supporting the translation process (multilingual terminology management);
  • Raise a website visibility and SEO by using extracted terms as keywords, tags and meta-tags;
  • Maintaining a company thesaurus (the more classical approach).

The list is divided into two groups, the first one, with more detailed descriptions, includes the easier-to-use tools where all you have to do is just to specify a source text or paste the source URL, press a button and get the term list. There is no software to install, no manual to read, and, of course, no price to pay. The second group includes also SEO tools and APIs.


Terminology Extraction by Translated uses Poisson statistics, the Maximum Likelihood Estimation and Inverse Document Frequency between the frequency of words in a given document and a generic corpus of 100 million words per language. It uses a probabilistic part of speech tagger to take into account the probability that a particular sequence could be a term. It creates n-grams of words by minimizing the relative entropy. Terminology Extraction by Translated can be also used to improve search results in traditional search engines (es. Google) by giving a better estimation of how much a keyword is relevant to a document.

Uploading: Texts may be submitted for analysis through entering it into the text window.

Languages supported: English, Italian, French.

Supported file formats: .txt


TerMine: Developed specifically for bio medical-area.

Technical terms are important for knowledge mining, especially in the bio-medical area where vast amount of documents are available. The amount of terms (e.g., names of genes, proteins, chemical compounds, drugs, organisms, etc) is increasing at an astounding rate in the bio-medical literature. Existing terminological resources and scientific databases cannot keep up-to-date with the growth of neologisms. A domain independent method for term recognition is very useful to automatically

Uploading: Texts may be submitted for analysis through any of the following ways:
  • entering the text you would like to analyze in to the topmost text window;
  • specifying a text file (*.txt or *.pdf) from your computer's hard drive;
  • entering a URL of the Web resource (*.html or *.pdf.
Languages supported: all Unicode-compliant languages.

fivefilters : This is a free software project to enable easy term extraction through a web service.

Given some text it will return a list of terms with the most relevant first.

The list is returned in JSON format. It is a free alternative to Yahoo's Term Extraction service. It is being developed as part of the Five Filters project to promote alternative, non-corporate media.

Languages supported: English

AlchemyAPI employs sophisticated statistical algorithms and natural language processing technology to analyze data, extracting keywords that can be utilized to index content, generate tag clouds, and more. API endpoints are provided for performing keyword extraction on Internet-accessible URLs and posted HTML files or text content.

Extracted meta-data may be returned in XML, JSON, RDF, and Microformats rel-tag formats.

topic keywords from HTML, text, or web-based content.

Languages supported:English, French, German, Italian, Portuguese, Russian, Spanish, Swedish.


Maui - indexer: Maui automatically identifies main topics in text documents. Depending on the task, topics are tags, keywords, keyphrases, vocabulary terms, descriptors, index terms or titles of Wikipedia articles. It also shows how keyphrases can be extracted from document text.

File formats supported: text, PDF, Microsoft Word.

Vocab Grabber analyzes any text, generating lists of the most useful vocabulary words and shows how those words are used in context. VocabGrabber creates a list of vocabulary from the text, which can be then sorted, filtered, and saved. By selecting any word on the list it is possible to see a snapshot of the Visual Thesaurus map and definitions for that word, along with examples of the word in the text.

Languages supported: English

Supported file formats: all formats.

Uploading: Copy/paste iinto the box, and click on the "Grab Vocabulary!" button.

A lot more:

Anchovy: a free multilingual cross-platform glossary editor and term extraction tool based on the open Glossary Markup Language (GlossML) format.

ArayaBilingual Terminology Extractionan automated terminology extraction service which is based on a statistical method and results in bilingual term pairs. 

Bibclassify - A module in CDS Invenio (CERN’s document server software) for automatic assignment of terms from SKOS vocabularies, developed on the High Energy Physics vocabulary. Developed in the collaboration between CERN and DESY.

Dandelion dataTXT: a web-based multi-lingual named entity extraction extraction API.

Extractor - Commercial software for keyword extraction in different languages. There is also a demo. Developed at the National Research Council of Canada.

Multi-purpose topic indexing algorithm Maui - Suitable for automatic term assignment, subject indexing, keyword extraction, keyphrase extraction, indexing with Wikipedia, autotagging, terminology extraction. Developed at the University of Waikato. Maui is also available on sourceforge.

Orchestr8 Keyword Extraction - An API based application that uses statistical and natural language processing methods. Applicable to webpages, text files and any input text in several languages.

Wikifier – An online demo of detecting Wikipedia articles in text developed at the Language and Information Technologies research group at the University of North Texas.

Wikipedia Miner – An API for accessing Wikipedia data, which also provides a tool for mapping any document to a set of relevant Wikipedia articles, similar to indexing with Wikipedia. Developed at the University of Waikato. Demo 1 and demo 2.

SEO keyword extraction - An online keyword and keyphrase extraction tool for search engine optimization.

TerminologyExtractor - TerminologyExtractor is a tool that extracts word and collocation lists, with frequencies, from Microsoft Word document, HTML, Rich-Text Format and plain text files.

Terms-Gekko - online terminology extraction tool for translators and linguists by Gekko-Labs.

TexLexAn - An open-source text summariser and keyword extractor.

Topia term extractor - Part-of-speech and frequency based term extraction tool implemented in python.

Yahoo term extraction - Web-service based content analysis via term extraction, includes a demo.

 - Last updated: 13/02/2014 -