Documents and notes decision

Presentia AI

A competent developer can build a usable replacement: core functionality (input->LLM->slide render->.pptx export) is implementable and prior open-source projects exist to accelerate it; the vendor's UI polish, themes, support, and commercial positioning are what you'd give up.

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Subscription$9.99/month ✓ verified
Initial build46 hours
Monthly upkeep6 hours + $50
Evidence3/3 runs agree

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Presentia AI alternatives, with the arithmetic →

What a replacement has to do

  • User supplies a topic or uploads a document -> server extracts text -> call LLM to generate per-slide content and layout -> optionally call image model to generate slide visuals -> render slides to an editable web editor and export .pptx

What it still won’t have

  • Polish and polish QA of the vendor's browser editor and UI/UX
  • Priority support and commercial licensing guarantees
  • Prebuilt curated themes and templates (12 themes, 6+ templates)
  • Team/collaboration features labeled 'coming soon' or prioritized in paid tiers
  • Any proprietary model optimizations or internal prompt engineering maintained by the vendor

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 6 seats.

Paid seatsseats

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

AI build APIs + hosting

Time you would spend

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal AI presentation generator using Next.js for the frontend, Node.js/Express for the API, PostgreSQL for metadata, S3-compatible storage for assets, and python-pptx (or pptxgenjs) for .pptx export. Core features in scope: (1) upload PDF/DOCX/TXT and extract plaintext, (2) LLM pipeline to produce slide titles, bullets, and speaker notes, (3) optional image-generation integration to produce slide images, (4) render editable slides in-browser (simple editor: title, bullets, image), (5) export high-fidelity .pptx and store projects. Out of scope: team collaboration, advanced template marketplace, animations, and enterprise billing. Include error handling for bad uploads and API failures, write automated tests for extraction, LLM pipeline, and PPTX export, and provide deployment scripts (Docker + simple cloud hosting instructions).
How we checked3 sources · 3/3 runs agreed · evidence score 67

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 3 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score67

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 3

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded