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Discover What Everyone Else Is Missing
Get a clear overview of any text, topic, or AI knowledge base. Uncover content gaps to generate new ideas and insights.
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Powered by network analysis, knowledge graphs, and AI.
1. Get a visual summary
Analyze your notes, ideas, PDFs, CSVs, Google search results, surveys, tweets, spreadsheets.
2. Discover content gaps
Reveal the most important topical clusters and gaps between them using a text network.
3. Generate insight using AI
Use the leading built-in AI models to bridge those gaps and enrich your perspective.
Import your data from anywhere
Use a live editor, upload files, scrape websites.
Topic modeling & sentiment analysis
Includes the key text analytics insights.
Interactive text visualization
Harness the power of visual thinking.
GPT-5 AI-enhanced workflow
AI that thinks with you, not for you.
Multilingual
English, German, French, Portugese, Spanish, etc.
Fully shareable
Share online, embed, or export high-res images.
Private by default
Your data is private, exportable, and hosted in EU.
Browser extension & API
Analyze web pages, YouTube, connect to your own data.
Step by Step Workflow:
You can use the built-in text editor, upload your files, or import data from Google, YouTube, Twitter, websites, RSS feeds, Evernote, Obsidian, scientific databases, spreadsheets etc.
Reveal the patterns using the text network knowledge graph, identify the main topical clusters, top keywords, structural gaps, and trends. You can also use them to augment your RAG prompts.
Use the interactive graph to find the most relevant excerpts and discover the relations between the ideas. Select the relevant parts of the graph to explore in more detail using the built-in AI.
Find the content gaps: connect the topical clusters and ideas that are not yet linked, discover what everyone else is missing. Use our API to generate research questions that can be used in your LLM workflows.
Use the built-in GPT-5 powered AI chat bot and underlying knowledge graph structure to generate text overviews, summary, research questions, facts, and innovative ideas.
Multiple Import Sources
You can ingest data from multiple sources and formats automatically, no need for a scraper anymore. Here are some of the most popular ones, you can also use the API and MCP to connect to your own data sources:
PDFs & Markdown
Multiple text files import: txt, pdf, md.
CSVs & Spreadsheets
Import by columns, advanced filtering
Plain Text
Copy and paste any text in real time
Google & SEO
Search results, Scholar, related search queries
YouTube
Transcripts, comments, search results
Websites
Scrape whole websites, URLs, and sitemaps
Amazon
Product search results and customer reviews
News & RSS
RSS feeds, latest news, XML files
Perfect for Ideation, Research, and Marketing
InfraNodus can be used throughout the full cycle: from brainstorming and generating ideas, to mapping existing knowledge or discourse, to studying the market and developing content promotion strategies — helping you see where to go next.
- Research & Ideation \
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Generate insights, brainstorm new ideas.\
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Watch the Video - Consulting & Marketing \
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Reveal untapped trends and market opportunities.\
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Learn More - SEO: Reveal Content Gaps \
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Optimize your strategy for search engines and LLMs.\
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Case Study - Qualitative Analysis \
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Analyze open-ended surveys, interviews, etc.\
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Case Study
Use Case: Get an overview of any topic or document and discover unique insights
Problem: How can you go beyond generic AI insights?
Current AI tools offer generic summaries and shallow insights. They are designed to provide the most likely responses, not to explore new or overlooked perspectives.
Solution: AI-powered interactive knowledge graph for brainstorming and ideation
InfraNodus will represent any text as a network and use powerful graph analysis algorithms to identify and highlight the most influential keywords, topics, and their relations. You, the human, can work together with the built-in AI to see patterns, topical clusters, and — more importantly — reveal the blind spots between them.
Topical Overview Case Study Try It Now
Watch: Text Analysis with AI
Use Case: Analyze your market and find untapped opportunities
Problem: The current patchwork of tools focuses on what's already there, not on what's missing
It's possible to track current trends and see what competitors are doing, but the more compelling question is what they haven’t done yet—what ideas remain unexplored or untested.
Solution: Use InfraNodus to study what your competitors are talking about an what they are missing.
Using InfraNodus, you can import search results on a specific topic from Google or scientific databases to gain a clearer picture of what’s already been done in the field. Then, analyze your competitors’ websites and reports for a deeper look into their discourse. Finally, identify the gaps—the ideas everyone’s talking about but no one’s connecting.
Competitive Intelligence Case Study Try It Now
Use Case: SEO and LLM Content Optimization
Problem: How to make sure your content is shown at the top of search / LLM results?
Everyone uses the same tools and competes for the same keywords. What’s often missing is relational insight and a holistic understanding of the context.
Solution: Use InfraNodus to target the content gaps for maximum informational gain.
Visualize what people are searching for and compare it to what they find. Find the keyword relations that they are missing. Targe those combinations to create high ranking content.
Analyze the content of search results and target the existing gaps with your content. Use the built-in AI to generate content ideas.
Keyword Research Case Study Try It Now
Use Case: Qualitative research and thematic analysis of open-ended responses and customer reviews
Problem: Struggling to understand what your customers truly think?
Open-ended survey responses are difficult to analyze. Basic positive / negative categorizations fall short, and tag clouds often miss the context.
Solution: Uncover patterns in open-ended survey responses using network graphs.
InfraNodus visualizes customer feedback as a word graph, where words used within the same response are interconnected.
This representation will reveal the patterns and context in your customers' responses and reviews, allowing you to easily identify key topics as well as hidden relationships that other tools might miss.
Thematic Analysis Case Study Try It Out
InfraNodus Graph Examples
You can use knowledge graphs to get an overview of a discourse, reveal the content gaps, or steer LLM's reasoning.
Real-Time Data Analysis
Reveal the main topics and gaps in the News of the day, Google search results, Tweets, and Amazon customer reviews.
News of the Day - Hourly Update (RSS feeds)
Google Search Results for "productivity tools" and "productivity apps"
Most Popular Tweets of the Week
Customer Reviews of LG 27UN880-B Monitor (Amazon.Com)
Research Papers, Notes, and Books
Use InfraNodus for research, thinking, and writing: analyze PDF files, Evernote or Obsidian notes, books, articles.
Google Search Results for "data visualization tools"
"I Have a Dream" Text Visualization
Machine Learning for Body Movement
Mind Maps, Knowledge Graphs, and Reasoning Ontologies
Use the [[wiki links]] syntax to create custom knowledge graphs or import your Obsidian notes. Use them in LLM flows as reasoning ontologies or for augmenting the quality of responses with specific context and knowledge.
Start Using InfraNodus
Sign up for an account now, so you can get insight using this tool for your own data and texts.
How Does InfraNodus Work?
InfraNodus visualizes any text as a knowledge graph. Drawing an analogy from social sciences, words are represented as nodes, while their co-occurrences create the connections between them. This network representation enables the use of advanced graph theory algorithms to identify clusters of related ideas (topic modeling), highlight the most influential concepts and hidden intermediaries, and reveal gaps within the discourse. You can use the powerful filters to perform sentiment analysis and reveal the main topics in each segment. This approach can be used to enhance your perspective on any discourse and explore nuances of meaning that might otherwise remain hidden.
Additionally, AI-driven algorithms are employed to generate insights and new ideas for any discourse based on the topical clusters and gaps discovered. You can use the graph as a steering device to guide the model's attention to the parts of the discourse that you find relevant and to maintain direct connection with the source material to avoid LLM hallucinations.
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, www.infranodus.com ( ACM library, PDF).
Ecological Thinking and Cognitive Variability
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 in on 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 hidden and ponder the gaps that have yet to be bridged. Focused, yet adaptive. Rational, yet poetic.
InfraNodus is a tool that is developed to help you think this way. It is made to promote ecological dynamics and diversity on a cognitive level. Too often, people get stuck in certain ideas or thought patterns. InfraNodus can be used as a "mind antivirus" against obsessive loops — biased ideas, mundane patterns, totalitarian thinking, propaganda, and narrow-mindedness — proposing a pan~archic form of thinking that spans a range of states and modalities.
Step-by-Step Tutorials About Our Company
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Discover the power of ecological thinking and cognitive variability using knowledge graphs and AI-driven insights.
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Pricing Options
Your support is what makes it possible for us to develop this tool. All quotas are per each text. There is no limitation on the number of texts you can process every month. Prices do not include VAT for EU private customers.
Lock in current prices for life and save up to 35% (€100-€200) on our annual plans.
MonthlyAnnualSave up to 35%
Advanced Account
€32/mo
saving €204 or 35%
- 14-day free trial
- everything on the Basic +
- API access
- MCP server
- Dedicated support
- 2 Mb per upload
- 5 Mb per PDF upload
- Extended data import quotas
- 80 GPT-5 credits / hour
- Live graph updates (max 5)
- Commercial use
Basic Account
€12/mo
saving €84 or 35%
- 14-day free trial
- Community support
- Full graph analytics
- MCP server
- Chrome / Firefox extension
- Obsidian graph view plugin
- Import data from web sources
- Max 40 imports per source
- 300 Kb per file upload
- 1Mb per PDF upload
- 40 AI credits / hour
- Personal / Academic use
Premium Account
€66/mo
saving €156 or 16%
- 14-day free trial
- everything on Advanced +
- API integration support
- Advanced MCP server
- Training: 1 hour / month
- 10 Mb per upload
- 50 Mb per PDF upload
- Max import quotas
- 200 GPT-5 credits / hour
- Live graph updates (max 20)
- Fast-track required features
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Show Plan Comparison
Sign Up for a Free 14-Day Trial
| Feature | Basic | Advanced | Premium |
|---|---|---|---|
| Free Trial | 14 days | 14 days | 14 days |
| Full Text Analytics | Yes | Yes | Yes |
| Full Graph Analytics | Yes | Yes | Yes |
| Chrome / Firefox / Safari Extension | Yes | Yes | Yes |
| Obsidian Plugin | Yes | Yes | Yes |
| Learning Portal Full Access | Yes | Yes | Yes |
| API Access | Limited | Yes | Yes |
| MCP Server Access | Limited | Yes | Yes |
| Discord Community Support | Yes | Yes | Yes |
| Customer Support | 72 Hrs | 48 Hrs | 24 Hrs |
| Upload Limit (TXT, MD, JSON, CSV files) | 300 Kb | 2 Mb | 10 Mb |
| Upload Limit (PDFs) | 1 Mb | 5 Mb | 50 Mb |
| Batch File Upload (max) | 2 | 10 | 50 |
| Batch File Upload (.md - markdown) | 20 | 100 | 500 |
| Number of Google Search Results Analyzed | 40 | 60 | 100 |
| Number of YouTube Search Results Analyzed | 40 | 100 | 1000 |
| Number of Amazon Reviews Analyzed | 100 | 500 | 1000 |
| Number of Tweets (X) Analyzed | 50 | 100 | 200 |
| GPT-5 AI Credits (per Hour) | 40 | 80 | 200 |
| API Requests (per Week) | 70 | 350 | 3000 |
| Graphs per Month | unlimited | unlimited | unlimited |
| Texts per Month | unlimited | unlimited | unlimited |
| Files per Month | unlimited | unlimited | unlimited |
| Imports per Month | unlimited | unlimited | unlimited |
| Max Number of Graphs | 50 | 100 | 1000 |
| Live Graph Updates (Twitter, RSS, Google) | No | 5 | 20 |
| Multiple Accounts Discount | No | 10% | 20% |
| Commercial Use | No | Yes | Yes |
All plans come with a free 14-day trial and you can cancel or pause at any time.
We offer student discounts and educational licenses
Once you've created an account, feel free to reach out to our support team with details about your use case, your institution details, and how you help promote InfraNodus. We’ll be happy to discuss a discounted or subsidized license and will apply it before your free trial ends.
InfraNodus vs. Other Tools
Traditional tools and AI chatbots are limited by their inability to understand the underlying structure and relationships in your data. InfraNodus provides a unique approach to text analysis that reveals the hidden patterns and insights in your data.
without InfraNodus
AI Chatbots & Analysis Tools
- Use bulletpoints and long text
- Provide generic responses
- Black-box approach hides reasoning
- No graph, no deeper understanding of context
- Generic LLM responses
Traditional Mind Mapping
- Limited to hierarchical structures
- Manual creation is slow and prone to bias
- Does not reveal patterns and relations
- Limited import sources
Standard Text Analysis
- Meaningless tag clouds that lack context
- Only shows positive / negative sentiment
- Results in tables that hide relationships
- Limited interactive exploration
with InfraNodus
AI-Powered Knowledge Graphs
- Reveal patterns in your data
- Original insights from the structure
- Interactive graph shows you what's happening
- GraphRAG finds gaps in your knowledge
- InfraNodus MCP augments your LLM
Network Visualization & Analysis
- Systematic approach to text analysis
- Auto-generated knowledge graphs
- Uses network science to reveal unique insights
- Import data from anywhere
Text Network Analysis
- Reveals main topics, relations, and content gaps
- Sentiment analysis with topic modeling
- Emphasizes relationships through a graph
- Combines metrics with exploration
Testimonials from Our Users
InfraNodus is used by researchers, consultants, writers, marketing professionals, corporations, and NGOs — Greenpeace, Procter & Gamble, and others. Here's what some of our users have to say:
We used the Network Structure and interconnectedness features to assist with analysis of a three year university sustainability plan that crossed faculty and staff. It allowed us to create workgroups that will now do the work. Both features were priceless for developing effective cross constituency system design.
Mary Earick
Associate Research Professor, Plymouth State University
Thanks to Infranodus I have now an impressively rich network of knowledge about my preferred area of studies, The Development of Interfaces Artificial Intelligence/Artificial Biology. I keep wondering about how many weeks or even months I would spend trying to collect all this information and knowledge by myself only.
Dr Joaquim A. Machado
Brazil
I am using InfraNodus to expose the relationships between characters and problems in the text. I tried to use other text-analysis tools. InfraNodus is — for me — absolutely the best. Thank you for developing a great tool and service.
Philip
Writer
Thank you very much for the huge perspectives opened by InfraNodus! A real change of vision and thinking... at least for me.
Didier
Information Specialist
It's particularly useful for anyone in research, marketing, or fields requiring deep textual understanding. Its utility in SEO and market research, where it identifies gaps between informational demand and supply, is especially notable. It's so good for ideation! It just blows my mind how well it helps in my researches.
Andrew
E-Learning Specialist
I want to express my appreciation for your text analysis product, which I find highly beneficial for extracting information and gaining insights from various content sources. As a daily user and visual learner, this system helps me connect the dots and visualize data dimensions within the text, ultimately assisting me in making well-informed decisions.
Tory Hutchins
Researcher
I am so thankful to have found your product! It has allowed me to explore graph theory in a way I never thought possible. With your tool, I have been able to create a graph that illustrates the interconnectedness between companies, governments, and industries. It has been an invaluable resource for me, and I highly recommend it.
Financial Services Executive
North America
We used the Network Structure and interconnectedness features to assist with analysis of a three year university sustainability plan that crossed faculty and staff. It allowed us to create workgroups that will now do the work. Both features were priceless for developing effective cross constituency system design.
Mary Earick
Associate Research Professor, Plymouth State University
Thanks to Infranodus I have now an impressively rich network of knowledge about my preferred area of studies, The Development of Interfaces Artificial Intelligence/Artificial Biology. I keep wondering about how many weeks or even months I would spend trying to collect all this information and knowledge by myself only.
Dr Joaquim A. Machado
Brazil
I am using InfraNodus to expose the relationships between characters and problems in the text. I tried to use other text-analysis tools. InfraNodus is — for me — absolutely the best. Thank you for developing a great tool and service.
Philip
Writer
Thank you very much for the huge perspectives opened by InfraNodus! A real change of vision and thinking... at least for me.
Didier
Information Specialist
It's particularly useful for anyone in research, marketing, or fields requiring deep textual understanding. Its utility in SEO and market research, where it identifies gaps between informational demand and supply, is especially notable. It's so good for ideation! It just blows my mind how well it helps in my researches.
Andrew
E-Learning Specialist
I want to express my appreciation for your text analysis product, which I find highly beneficial for extracting information and gaining insights from various content sources. As a daily user and visual learner, this system helps me connect the dots and visualize data dimensions within the text, ultimately assisting me in making well-informed decisions.
Tory Hutchins
Researcher
I am so thankful to have found your product! It has allowed me to explore graph theory in a way I never thought possible. With your tool, I have been able to create a graph that illustrates the interconnectedness between companies, governments, and industries. It has been an invaluable resource for me, and I highly recommend it.
Financial Services Executive
North America
We used the Network Structure and interconnectedness features to assist with analysis of a three year university sustainability plan that crossed faculty and staff. It allowed us to create workgroups that will now do the work. Both features were priceless for developing effective cross constituency system design.
Mary Earick
Associate Research Professor, Plymouth State University
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Become an Expert in Network Thinking
Our support portal contains a wealth of information on AI-enhanced text analysis, network science, data visualization, and their applications. You can learn how to create new network graphs, interpret them, discover hidden patterns in your data and share the results of your research.
You are welcome to contact us at any time via our Discord community or by submitting a support ticket. We are always happy to help you with any questions you might have and recommend the most effective ways to use InfraNodus for your research, writing, marketing, or any other purposes.
InfraNodus FAQ
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1. What is InfraNodus?
InfraNodus is a visual AI text analysis tool that helps identify patterns and gaps in data. It can be used for brainstorming and ideation, mapping existing knowledge or discourse, studying the market, developing content promotion strategies, and much more.
While it offers standard features such as topic modeling and sentiment analysis, it also provides unique capabilities thanks to its use of a knowledge graph for representation. It can be used both to prime an LLM for better responses and as a heuristic tool for researchers to study content using the graph as a map to navigate the data. You can learn more on the How it Works page.
2. How does InfraNodus compare to other tools?
Most tools are either too technical or too simplistic, and almost none use visualization as a means of exploring data — typically relying on it only to provide summaries and insights. InfraNodus bridges this gap by offering insights usually available only through advanced NLP tools, but within an easy-to-use visual interface.
It also introduces the knowledge graph as an interactive exploratory device that enables both a broad overview and a deep dive into nuanced relationships and content gaps. Its ecological thinking framework fosters cognitive variability, helping users shift attention between scales (zooming in and out) and modes of thinking (focused vs exploratory).
As such, it's not just a research tool, but also a thinking tool that proposes a methodology that rooted in ecological dynamics. InfraNodus' advanced AI capabilities help generate insights from the knowledge graph and also make them accessible to agentic AI workflows through its API.
3. How to use InfraNodus?
The easiest way to understand how InfraNodus works is to use one of its many content import apps to visualize the existing discourse: for instance, Google search results for a certain topic. The next step is to analyze your own texts or a collection of documents to discover the main topical clusters and content gaps inside.
The basic analysis workflow begins with gaining a general overview of the generated knowledge graph. From there, you explore the main clusters identified through topic modeling and reveal the text statements associated with them, using AI to summarize these statements for a clearer understanding of the core ideas.
Next, the graph can be used to uncover interesting relationships between concepts or highlight content gaps — the blind spots between topical clusters that could be better connected. These areas often hold potential for generating new ideas and insights. The final step involves removing the top layer of already-analyzed concepts to uncover what's hidden beneath, allowing you to reiterate the analysis and discover deeper insights.
4. How to discover the content gaps in your knowledge
You can use the InfraNodus knowledge graph to reveal the main topics in any discourse. Some topics are not very well connected: these are the content gaps that can be used to generate new ideas and insights. More on Discovering Content Gaps