Type: Free

Docanalyzer is a free, open-source tool for analyzing and visualizing text documents. It can be used for a variety of tasks, including:

  • Topic modeling: Identifying the main topics discussed in a document or collection of documents.
  • Sentiment analysis: Determining the overall sentiment (positive, negative, or neutral) of a document.
  • Entity recognition: Identifying named entities (e.g., people, places, organizations) in a document.
  • Relationship extraction: Identifying relationships between entities in a document.
  • Text summarization: Generating a concise summary of a document.

Docanalyzer is easy to use and does not require any prior programming knowledge. It can be used to analyze documents of any size, from a single paragraph to a large corpus of text.

Here are some specific examples of how Docanalyzer can be used:

  • A researcher could use Docanalyzer to identify the main topics discussed in a collection of scientific papers.
  • A marketing analyst could use Docanalyzer to analyze customer reviews to understand customer sentiment.
  • A journalist could use Docanalyzer to identify key people and organizations involved in a news story.
  • A student could use Docanalyzer to generate a summary of a research paper for a class assignment.

Docanalyzer is a powerful tool for analyzing and understanding text data. It is used by academics, researchers, businesses, and individuals all over the world.


  • Free and open-source
  • Easy to use
  • No prior programming knowledge required
  • Can be used to analyze documents of any size
  • Supports a variety of text analysis tasks, including topic modeling, sentiment analysis, entity recognition, relationship extraction, and text summarization


  • Gain insights into your text data
  • Identify trends and patterns
  • Understand customer sentiment
  • Improve your writing
  • Save time and effort

Sign In


Reset Password

Please enter your username or email address, you will receive a link to create a new password via email.