Get an Overview and Summarize any Text, Article, or Discourse

InfraNodus uses a combination of network visualization, language processing, and GPT AI to help you grasp the meaning of any text. It reveals the main ideas and also the gaps, so you can better understand the content and generate new ideas.

Watch an Introduction


Get an overview and a summary of any text or article.

InfraNodus: Overview, Summary, Insight

Here is how you can use InfraNodus to obtain insights about a text's structure, reveal the most important topics, and the connections between them.

1. Live Text Input
and Data Import

Write or import a text, research abstracts, PDF documents, CSV spreadsheets, Google search queries, etc.

2. Topic Modeling
and Structural Insights

Using network analysis and NLP, allows us to identify the main topics, the relations between them, but also the gaps in the discourse.

3. Use the AI to
Generate New Ideas

The built-in GPT AI can be used to both summarize and to challenge the text with the new ideas.

Text Analytics

Word frequency, historical trends, topical groups, most influential ideas, structural gaps in a discourse, and more.

Relational Insight

Use text visualization to see how the different concepts relate to one another. Compare different texts to discover the nuance.

Sentiment Analysis

Reveal the sentiment in your data using AFINN or ML-based BERT AI model: positive, negative, neutral.


You can summarize a discourse based on the topics identified or on the key statements inside the text itself.


Use English, German, French, Russian, Spanish, Portugese, Swedish, Chinese, etc.

Share & Export Data

You can export the insights as a spreadsheet for further analysis or as hi-res PNG or SVG images.

Private by Default

All your data is private by default and you can export and erase it anytime.

AI-powered Insights

You can use powerful AI algorithms to better understand or to challenge the discourse.

InfraNodus Workflow


You can use standard text, hashtags or file import to add your data.

Text to network graph visualization

Reveal the patterns in your data using network analysis.

Topic modeling and text mining using text network analysis

Use the interactive graph to find the most relevant excerpts.

Get the relevant excerpts using the graph

Find the structural gaps so you know where the new ideas are hiding.

Structural holes in knowledge graphs generate new ideas

Selected Use Cases

See how InfraNodus can be used for researching, literature review, writing, and ideation.


Use Case: Get an Overview of Any Discourse or a Book

Problem: How to read a book in a few minutes?

If you want to study a discourse, a book, or a certain field, you need to read through a lot of data. This may take too much time and resources.

Solution: Visualize the main topics and their relations with InfraNodus

Use the Google search app to import Google or Google Scholar search results for your query to InfraNodus. Or upload a PDF with a book / research article contents, a CSV file export from Zotero with the research paper abstract, or any other corpus of text.

Use the built-in NLP tools, network visualization, graph science, and GPT AI to quickly get an idea of the main topics within, how they are related, and to find the gaps that can help you develop this discourse further or ask the right questions to advance your own research.

Google Results Overview Demo    Sign Up to Try

Use Case: Creative Writing and Thinking

Problem: How to write about a certain topic and generate new ideas?

Whether you are brainstorming, doing research or writing you may experience writer's block or simply get stuck for new ideas.

Solution: InfraNodus will represent your text as a network providing a visual overview and helping you find the gaps where the new ideas are hiding. It will then use the AI to help you generate research questions that bridge those gaps.

Our studies have shown that network representation of text encourages one to think in terms of connections, helping you make the new links between the different parts of your text and make your discourse more coherent.

You will also be able to see the structural gaps in your writing: that's where the new ideas our hiding.

Learn More    Try It Out

Use Case: Text Mining and Topic Modeling

Problem: What are the main topics inside a text?

The current solutions are either too simplistic or too technically challenging.

Solution: Topic modeling based on text network analysis and visualization.

InfraNodus will represent the text as a network and use powerful graph analysis algorithms to identify and visualize the main keywords, topics, and their relations.

Learn More    Try It Out

Use Case: Coming Up with Ideas for a New Article

Problem: Need to develop a discourse on a certain topic?

The difficult part is to begin, to gather everything together and to start writing.

Solution: InfraNodus live text visualization and insight recommender system.

Start writing your ideas and InfraNodus will visualize them as a graph. The Insight Recommender system will show the connections between your ideas and reveal the structural gaps — recommending you the interesting questions to ask to develop your discourse further.

Tutorial    Sign Up to Try



See a Demo Graph     Create Your Own



How Text Network Analysis Works

Network analysis and graph visualization help you cope with the informational overload and make sense of data.

Here is how it works:


1. Add Any Text or Data

You can use this approach for your research, creative writing, marketing feedback study, SEO purposes, news analysis, etc.

Add any text (speech-to-text available), notes, or import your Gephi graph, Evernote data, Twitter feed, or Google search results snippets.

The text is converted into a graph where the words are the nodes and the co-occurrences are the connections between them, so you can see all your disjointed bits and pieces of data at once, as a big picture.

More in our Whitepaper
Create a Text Network Graph

2. Get a Visual Overview

The network will then be generated from the text or data you added. The most influential words in the graph (nodes with the highest betweenness centrality) are shown bigger, while the words (nodes) that occur more often together are aligned into topical clusters and have distinct colors.

The graph will show you not only the main topics and the most influential terms, but also the relations between them, making it a much better visual summary tool than the traditional tagclouds.

Overview Data with Text Network Visualization

3. Generate Insight

InfraNodus will identify the structural gaps in the network: parts of the graph that could be connected but are not.

It will propose you the different ways how you can bridge these gaps to produce insight and generate new ideas.

You can also export your data as a CSV file (with the InfraNodus insights) for further analysis or to use as a training data for your neural network applications.

Generating Insight with Structural Gaps

Our Methodology in Detail

To learn more about the algorithms used in InfraNodus and for citations, please, refer to this peer-reviewed paper:

Paranyushkin, D (2019). InfraNodus: Generating Insight Using Text Network Analysis, Proceedings of WWW'19 The Web Conference, (ACM library, PDF).

If you want to know more about the algorithms used, here is the first paper we published on the subject:

Paranyushkin, D (2011). Identifying the pathways for meaning circulation using text network analysis, Nodus Labs. (Google scholar)

Become a Supporter!

InfraNodus is open-source software and is developed without external funds or investors. We develop and maintain this tool and the associated research based on your contributions only. We believe it is a working model for crowdfunded software made by users for users.

You can support our work if you become a subscriber and get access to the cloud version or if you become our patron on Patreon. Enterpise, government, and educational versions are also available.

Pricing Options

This tool and the associated research in ecological network thinking are developed solely on the monthly contribution provided by users like you. We believe this is a working model for crowd-funded R&D, and we thank you for your support!

All quotas are per each text. There is no limitation on the number of texts you can process every month.

About InfraNodus

Gregory Bateson coined a beautiful term: "ecology of the mind". What is a mind that is ecological? It has the ability to have an overview, but it can also zoom into any idea. It embraces diversity, but it can also obsess over one thing when needed. It can discover the obvious, but it can also reveal the things that are hidden and ponder the gaps that have not yet been bridged. Rational and poetic.

InfraNodus is a tool that is developed to help you think this way. It is made to promote ecological dynamics and diversity on the cognitive level. InfraNodus visualises and analyses ideas as a network, revealing the relations and patterns within them, so you can understand the dynamic complexity of how knowledge evolves and explore the nuances of meaning.

We believe that it is especially important today to make this kind of instruments available to everybody. That's why we develop InfraNodus so that it can accessible to everyone, solely thanks to our users' monthly contributions and based on their feedback. This is not a start-up, we don't have investors and an exit strategy. We are here to stay and to evolve.

We are constantly improving InfraNodus based on our users' feedback. We are also currently developing an API to make this way of thinking available to other applications and to enable the use of InfraNodus insights for machine learning and AI applications.

If you like our cause, please, sign up for an account and give it a try, support us on Patreon, or simply let us know that it resonates, because this is the best way to motivate each other.

Dmitry Paranyushkin, the founder




InfraNodus is used by researchers, writers, marketing professionals and corporations. Here's what some of our supporters have to say:

Technical Support

Check out our support pages, so you can see how to create the new network graphs, how to read and interpret them, how to discover the hidden patterns in your data and share the results of your research.

1. How to Create a New Graph

The most basic way to create a new graph is to use the hashtags. Each hashtag is a node, their co-occurrence is the connection between them. You can also use normal text to build your text graphs automatically. More on Creating the Graphs

2. How to Read and Interpret Network Visualization

Studies have shown that diagrams and especially network representation of data makes you think more of connections in your data. You can identify the main elements as well as the relations between them and — most importantly — discover the gaps in your knowledge using the graphs. More on Reading the Graphs

3. Find the Right Excerpt in Text

Network graphs are great for non-linear reading. Look at the graph, find the part you like, click on the nodes, and you'll see the excerpt of your original data that contains this exact combination. More on Nonlinear Reading

4. How to Import Text and PDF files

You can import and visualize your text files or PDF documents. In order to do that, just upload the file and InfraNodus will do the rest. More on Visualizing PDFs