Writing and content decision

SupWriter

A technical user can reproduce a useful humanizer (paste, LLM rewrite, basic heuristics, PDF upload) in about a week, but SupWriter's claimed multi-detector scoring, proprietary training samples, Chrome extension and integrations are non-trivial to match, so keeping the paid product is reasonable for full parity.

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You pay

$9.99/mo

$120/yr

Read off the official pricing page.

You’d pay instead

$100one-off34 h to build

$15/mo3 h/mo upkeep

On cash alone, building overtakes the subscription at 3 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 SupWriter alternatives, with the arithmetic →

What a replacement has to do

  • User pastes text -> service rewrites human-like via LLM -> returns rewritten text and basic detection/score

What it still won’t have

  • Proprietary humanization engine and tuned training samples
  • Multi-detector, sentence-level scoring across many paid detectors (Turnitin, GPTZero, Originality.ai, Copyleaks)
  • Chrome extension and MCP connector integrations out of the box
  • Writing DNA / voice-matching and advanced fine-tuning sliders
  • Priority support and enterprise features

What remains hard

  • Proprietary dataTraining samples 1.2M+ Training samples
  • Brand trustLoved by 10,000+ writers worldwide
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 3 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 single-user web app (React frontend + Node.js/Express backend) deployed on a single small cloud VM or managed platform (e.g. Vercel frontend + Render/Heroku backend). Core features in scope: 1) paste or upload (PDF) text, 2) call OpenAI (or Anthropic) to rewrite/humanize text via prompt templates, 3) show original vs rewritten text and simple human-likeness score (heuristic tokens/duplication), 4) per-request credit usage and a basic account page, 5) export rewritten text and history. Out of scope: integrating paid third-party detectors (Turnitin/GPTZero/etc.), Chrome extension, multi-detector sentence-level scoring, advanced Writing DNA training. Include error handling for API failures, input validation, PDF text extraction errors, and automated unit/integration tests for backend endpoints and prompt-output parsing.
How we checked5 sources · 3/3 runs agreed · evidence score 64

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-3
  • Evidence score64

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 →

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 2 moats quoted from the page