Forms and surveys decision
MagicForm.app
A single competent developer can build a useful, smaller replacement in about a week and operate it for a single user; MagicForm's main durable advantage is brand trust rather than hard technical moats.
Visit website↗Built by Sanskar Tiwari, who ships 8 products in this index
$7.42/mo
$89/yr
Read off the official pricing page.
$100one-off40 h to build
$20/mo3 h/mo upkeep
On cash alone, building overtakes the subscription at 4 seats.
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 MagicForm.app alternatives, with the arithmetic →
What a replacement has to do
- Accept input (text/URL/PDF/YouTube/image) → extract/normalize content → call LLM to generate quiz questions and answers → present editable quiz UI → export/share (Google Forms/PDF/link).
What it still won’t have
- Polish and product UX refinements (in-app chat persona, polished editor)
- Scale, reliability, and monitoring of a hosted SaaS
- Any proprietary datasets or model fine-tuning the vendor may use
- Trusted integrations and branding benefits ("Trusted by top universities and companies")
What remains hard
- Brand trust
Trusted by top universities and companies
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 4 seats.
Money you would actually spend
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
Build a minimal AI Quiz Generator as a single-user SaaS using Node.js (Express) backend, Postgres DB, React frontend, and deploy to Vercel (frontend) + Railway/Heroku (backend) with the OpenAI (or compatible) API for LLM calls. Core features in scope: (1) accept content inputs: paste text, URL scrape, upload PDF (pdf-parse) and image OCR (Tesseract or a cloud OCR) and YouTube transcript fetch; (2) normalize/extract text and metadata; (3) LLM integration with prompt templates to generate multiple-choice questions, correct answers, distractors, and optional explanations; (4) editable quiz editor UI with preview; (5) export to Google Forms (use Google Forms API or form-prefill), and PDF export; (6) simple auth (Google OAuth) and per-user storage; (7) error handling for failed parsing and LLM timeouts, logging, and unit tests for parsing, LLM integration, and exports. Out of scope: multi-tenant billing, team/collaboration features, fine-tuned proprietary models, and large-scale autoscaling. Deliver automated tests for core flows and CI deploy config.
How we checked
How the score was reached
- Build verdict base78
- An open-source build was found+5
- 4 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score93
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 · 4
Every page the run actually retrieved.
- official productMagicForm.app — official product page
- official pricingMagicForm.app — Pricing
- open sourceLimeSurvey/LimeSurvey
- open sourcedidi/xiaoju-survey
Integrity checks
What held up, and what did not.
