Why text becomes hard to use
Long text can preserve detail while hiding structure. Important ideas repeat, decisions get buried, and relationships are easy to miss.
AI summaries make long text shorter, but they can still leave you reading linearly. A map gives the material a shape.
What DeeplyClear extracts
DeeplyClear helps turn text into nodes and relationships so you can inspect the shape of the material instead of only reading it line by line.
- Main themes
- Supporting ideas
- Decisions
- Risks
- Open questions
- Next steps
Useful text sources
Start with any text that contains an idea worth understanding.
- Articles
- Notes
- Docs
- Specs
- Transcripts
- AI outputs
What you get
What a text map can reveal
A map helps expose structure that is easy to miss when ideas stay inside paragraphs.
- Main argument
- Supporting points
- Examples
- Contradictions
- Questions
- Summary path
FAQ
Common questions
Can I create a mind map from pasted text?
Yes. You can paste text into DeeplyClear and use it as the source material for a structured visual map.
What kind of text works best?
Text works best when it includes enough context: goals, examples, decisions, questions, requirements, or themes. Very short text may need more detail before it becomes a useful map.
Does the text need formatting first?
No. Rough text can work. You can clean up the generated structure afterward by renaming nodes, merging repeated ideas, and adding missing context.
Can the text map become a summary?
Yes. Once the map exposes the structure, it is easier to produce a concise summary or Clarity Tour from the important themes and relationships.
Next step
Use this workflow in DeeplyClear
Turn notes, docs, prompts, or product thinking into a map you can inspect, refine, and explain.