AI tools for decks and data analysis in 2026
Deck tools divide into those that build the structure for you and those that make an existing structure look right. Analysis tools divide into conversation and code. Choose by what you already have and how much reproducibility is demanded.
Published · updated
How we ranked these
Stated before the list, so you can disagree with the weighting rather than the result.
The ranking
- 01
Gamma4.6¥1,440/mo
Turns a bulleted outline into a finished deck or web page. Japanese UI included.
Excellent for internal decks and quick proposals. Keep PowerPoint for anything that must match a strict template.
- 02
Canva4.6¥11,800/年
Template-driven design for decks, social images and video, with Magic Studio AI on every plan.
The right tool for volume and consistency. Bring in a designer when the work has to stand out rather than ship.
- 03
Napkin AI4.4$9/mo
Paste prose and get diagrams, flowcharts and mind maps back — the fastest route to figures for a deck.
Cheap and genuinely time-saving for documents that need a figure. Not a substitute for a real diagramming tool.
- 04
Julius4.4$20/mo
Hand it a CSV or spreadsheet and it analyses, charts and writes the report — an AI data analyst.
A genuine time-saver for ad-hoc analysis. Read the generated code before anything reaches a decision.
- 05
Hex4.5$36/mo
SQL and Python notebooks with an AI agent on top, plus internal data apps you can publish.
Strong choice for a data team that already has a warehouse and wants to stop shipping screenshots.
- 06
Miro4.5$8/mo
Online whiteboard with AI diagramming, summarisation and screenshot-to-prototype.
Clear value for teams already on Miro. Not a reason to switch whiteboards by itself.
Questions we get
- Gamma or Canva?
- If you know the points but not the structure, Gamma. If the structure is settled and it needs to look right, Canva — which is also the answer when it has to match a corporate template, because of the brand kit.
- How do Julius and Hex differ?
- Julius takes a file and works through it in conversation. Hex is SQL and Python notebooks with an agent on top. A one-off look favours Julius; a monthly aggregation that other people touch needs the method to survive as code, which favours Hex.
- Our Japanese decks break the layout.
- Templates built abroad assume Latin character widths, so Japanese text crowds or wraps badly. The fastest fix is shortening headings to about half the length a Latin template accommodates.
- Can we analyse tables containing personal data?
- Drop name, email, phone and address columns first. Most analysis needs 'which segment', not 'who'. Check also whether inputs can be excluded from model training before signing anything.