Design and diagrams decision

DrLambda

A single developer can build a useful PDF/DOCX→PPTX generator with LLM summarization and templated PPTX export in about a week, but reproducing the full product (avatars, many bundled image models, enterprise SSO/SCIM, audited security posture, and a team knowledge base) requires more engineering and compliance work.

Visit website
You pay

$8.25/mo

$99/yr

Read off the official pricing page.

You’d pay instead

$100one-off40 h to build

$50/mo3 h/mo upkeep

On cash alone, building overtakes the subscription at 8 seats.

No open-source build does this yet

Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.

What a replacement has to do

  • Upload a document or paste text → extract and summarize content with an LLM → lay out content into slides → export as PPTX/PDF

What it still won’t have

  • Built-in avatar video rendering and voice cloning
  • Large catalogue of image models bundled (25+ models)
  • Enterprise features: SSO/SCIM, audit logs, SOC2-adjacent hosting, contractual no-model-training guarantees, custom data-residency
  • Polished multi-model model-selection UI and team knowledge base with Qdrant search
  • 200+ server-side one-off PowerPoint/PDF tools

What remains hard

  • Brand trustTrusted Across Industries
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 8 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 slide-generator web app using: React frontend, FastAPI backend (Python), python-pptx for PPTX export, Tika/pytesseract for PDF text extraction/OCR, OpenAI or similar LLM for summarization (calls metered), and S3-compatible storage. Core features in scope: (1) upload PDF/DOCX and OCR/scaffold text; (2) generate an outline and per-slide text using LLM prompts; (3) render a templated PPTX with titles, bullets, and embedded images; (4) simple review UI to edit slide text before export; (5) authentication via email link (no SSO). Explicitly out of scope: avatar videos, multi-model image-selection UI, SSO/SCIM, enterprise audit logs, HIPAA/BYO encryption. Include error handling for failed OCR/LLM calls, unit tests for extraction and PPTX generation, CI job to run tests, and basic rate-limiting and logging.
How we checked3 sources · 3/3 runs agreed · evidence score 62

How the score was reached

  • Partly verdict base52
  • 3 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score62

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 quoted from the page