ScriptGrain vs Noren

ScriptGrain measures your voice as 45 attributes and scores every draft against the measured profile. Noren builds a portable, human-editable profile designed to travel between Claude, GPT and Gemini.

The actual difference

Noren produces a readable profile you take to whichever model you like. ScriptGrain measures 45 attributes and then scores every draft against that measurement, so the profile is not only a description you carry around but a target the output is held to and graded on.

Noren's Pro plan is $12 a month with 300 credits (one credit is a full draft), or $49.99 once for an automated voice extraction with 100 credits; the free tier gives 10 credits a month. ScriptGrain publishes its plans in full: free, £12/mo, £29/mo, £99/mo, £299/mo, with the API and MCP server on every plan.

ScriptGrain is not a replacement for the assistant you already use. It measures your voice from writing you have published and hands that profile to ChatGPT, Claude, Muse or any MCP client through its connector, then scores every draft against it. ScriptGrain makes your AI better at being you.

How the connector works

Every AI voice tool compared: prices, scores and API access, checked

	ScriptGrain	Noren
Entry price	£12/mo (Writer, 1 voice profile)	$12/mo (Pro)
Free tier	Yes, See your own voice profile and try one draft. No card.	Free: 10 engine credits a month and a hand-built Markdown voice profile, no card
Voices on entry plan	1 (3 on Operator, £29/mo)	One living profile on Pro; the Markdown profile is yours to edit and export
How the voice is built	45 measured style attributes, extracted from writing you have already published	You "give Noren examples of things you have already written" and it captures "the words you reach for, how long your sentences tend to be, how you make a point, what you avoid". Profiles also record anti-patterns, the words you would never use, and the profile itself is readable, editable and exportable for use with different models.

Noren figures read from their pricing page on 20 September 2026.

What Noren is built for

Noren is a portable voice layer. That's the whole pitch, and it's a clean one. Its own positioning line is "AI that writes like you, not like ChatGPT", and the product works by sitting between you and whichever model you prefer: Claude, GPT or Gemini. You reach it through a macOS desktop app, a browser Studio or a Chrome extension.

So the job it's hired for is narrow and sensible. You already use a model. You don't like how it sounds. Noren gives you a description of your voice that the model can work from.

That matters more than it sounds. Plenty of tools try to own the whole writing workflow and lock you into it. Noren does the opposite: the profile is a plain Markdown file that belongs to you. If you stop paying, you still have it. If you change models, it still works. And there's a bring-your-own-key mode for people who would rather run their own model access than buy credits. To be fair, that's a generous design, and it's the main reason Noren deserves a place on any shortlist.

How Noren handles voice

You give Noren examples of things you've already written. It reads them and pulls out a set of habits: the words you reach for, how long your sentences tend to be, how you make a point, what you avoid. That last one is the interesting part. Noren records "anti-patterns", meaning the words and moves you'd never use, alongside the ones you do.

The output is a human-readable, editable, exportable Markdown profile. Its sample profile page shows what that looks like in practice: rhythm statistics such as median and mean sentence length, a long-to-short ratio and commas per sentence, plus named "signature moves" backed by quotes from the source author. You can open the file, read it like a style note and change a line you disagree with.

There are two ways in. The free tier gives you a hand-built profile and 10 engine credits a month, no card. Paid routes automate the extraction: Pro is $12 a month with 300 credits and a "living profile" refined monthly, and there's a one-off $49.99 extraction that includes 100 credits. One credit is one full draft. (Prices as read on usenoren.ai on 2026-09-20; check the page before you commit.)

Then the profile travels. You paste it or carry it into a model, and the model takes it from there.

Worth noticing: Noren doesn't publish a per-draft voice-match score. What it does publish is a self-run extraction benchmark: automated extraction compared with a hand-written voice guide from the same corpus, reported as 90% pattern coverage and 0 fabrications. That tells you the profile is a faithful description of the samples. It doesn't tell you whether a particular draft, written tomorrow by a model on a busy afternoon, stayed faithful to the profile. Those are different questions.

How ScriptGrain handles voice

ScriptGrain starts from the same raw material: writing you or your brand has already published. It needs at least one sample of 50 or more words. Three or more pieces and about 3,000 words is the recommendation, and extraction usually takes under a minute (median 39 seconds, measured 2026-09-28).

What comes out is a profile of 45 attributes in 8 layers: lexical, syntactic, tone and register, rhetorical, punctuation and format, function words, content patterns, and quirks and cadence. Some are what you'd expect. Average sentence length and its variance. Contraction rate. Comma density. Semicolon and dash habits. Others sit higher up: formality on a 0 to 10 scale, confidence versus hedging, opening style, argument structure (evidence-first, conclusion-first or narrative), paragraph openers, pronoun mix. The full list lives in the writing voice attributes reference, and the method is written up in the voice measurement framework.

The difference is what happens next. Every draft is scored from 0 to 1 against the profile. That's the voice match. On-voice drafts typically land between 0.85 and 0.95. Partial matches sit between 0.5 and 0.8. Anything under 0.45 is clearly a different voice. And the score doesn't arrive alone: it comes with per-feature deltas, draft value against profile value, so you can see that the draft runs longer in sentence length or lighter on contractions than you do.

From there, Polish revises a draft toward a target score (default 0.9). Drafts are written with the profile as a constraint, and the app learns from the edits you save.

Delivery is different too. The profile reaches ChatGPT, Claude, Gemini, Cursor, Meta Muse and any MCP client through the MCP server and REST API, read live each time. It's never a pasted prompt. Both are on every plan, Free included.

The same job in each tool

Take one job. A small team wants a product announcement that sounds like their founder: short sentences, dry asides, conclusion first, no corporate padding.

In Noren, you feed in the founder's past writing. Noren extracts the habits, including the anti-patterns (say, the founder never writes "leverage" and never opens with a greeting). You review the Markdown, tighten a line or two and carry the profile into the model of your choice. You write the draft there. Then you read it. Does it sound like the founder? You decide, by ear, and edit accordingly. For a person with a good ear and a few drafts a week, that's a perfectly workable loop. The profile has done its job; the judgement is yours.

In ScriptGrain, the same samples go in and the 45-attribute profile comes back. The model, reached over MCP or the API, reads that profile live while it drafts. Then the draft is scored. Say it lands in the partial band, somewhere between 0.5 and 0.8. The deltas show why: sentences too even in length, openers too formal, hedging higher than the profile allows. You run Polish toward the 0.9 default and the score moves into the on-voice range. You didn't rely on your ear alone, and neither did the colleague who reviews it next week.

So the honest comparison is this. Noren gets you a good description and leaves the verdict to you. ScriptGrain gets you a description, a verdict and a route back to the target. Whether you want the extra machinery depends on who's writing and who's checking.

Which one fits which situation

Pick Noren if:

You're one writer, mostly in your own head, and you trust your ear to judge a draft.
You want a profile you can open, read and hand-edit as a plain Markdown file, with no lock-in.
You prefer to run your own model access through a bring-your-own-key setup.
You want to start free with a hand-built profile and keep costs low.

Pick ScriptGrain if:

Several people produce copy and someone needs an objective answer to "does this sound like us?"
You need drift caught early. Voice drift is easy to miss one paragraph at a time and obvious in a score.
Your tools are spread across ChatGPT, Claude, Cursor or an MCP client and you want one measured profile read live by all of them.
You manage more than one voice, which is where the Studio and Agency plans (10 profiles, unlimited profiles) come in.

Use both if you want Noren's readable, editable profile as a thinking tool and ScriptGrain's score as the check. Fair enough, that's a legitimate pairing, not a hedge.

If you're still weighing the field, the AI writing voice tools matrix and the wider comparison index put other options side by side.

Using ScriptGrain alongside Noren

There's very little to migrate, because the raw material is the same: your published writing. Nothing in Noren's Markdown profile needs converting. Keep it. Run the same samples through ScriptGrain and compare what each one says about you. Where Noren names a signature move and ScriptGrain shows a number for the same habit, you'll learn something about both.

A practical routine looks like this. Draft in whichever model you like, guided by your Noren profile if that's your habit. Then score the result against your ScriptGrain profile and read the deltas. If you only want the measurement, the writing style analysis tool and the brand voice consistency checker work on a draft you already have, and the AI cliché checker catches the stock phrases the profile would flag anyway. Voice-match scoring is free; drafts, polish and humanise use plan credits.

If your work lives inside a chat assistant, it's the same story: ScriptGrain reads into ChatGPT and Claude through MCP, so the profile isn't something you re-paste at the top of every conversation.

Two things to watch. First, keep the profiles honest: if you hand-edit the Noren file, note the change, because the ScriptGrain profile won't know about it. Second, don't chase a score for its own sake. A 0.9 on a profile built from weak samples just means you matched something mediocre well. Good samples first. Everything else follows.

A full list of the plans is on the pricing page. Run both for a month and keep the one you actually reach for.

Where Noren is stronger

"AI that writes like you, not like ChatGPT." A portable voice-profile layer that works across Claude, GPT and Gemini via a desktop app, browser studio and Chrome extension.

The profile is portable and human-readable, you can read it, edit it, export it, and carry it to another model
Anti-patterns are a genuinely good idea: recording what you would never write is as identifying as what you do
Works where you already are, across multiple LLMs, rather than asking you to move your writing into one app

If model portability matters to you, you want one voice profile that follows you to Claude today and something else next year, Noren is designed for exactly that, and an editable profile you own outright is a real advantage.

Questions

Is ScriptGrain better than Noren?

They solve the problem differently. Noren produces a readable profile you take to whichever model you like. ScriptGrain measures 45 attributes and then scores every draft against that measurement, so the profile is not only a description you carry around but a target the output is held to and graded on. If model portability matters to you, you want one voice profile that follows you to Claude today and something else next year, Noren is designed for exactly that, and an editable profile you own outright is a real advantage.

How much does Noren cost compared with ScriptGrain?

Noren's entry plan is $12/mo (Pro) (Annual saves 31%; voice extraction $49.99 once), with this free tier: Free: 10 engine credits a month and a hand-built Markdown voice profile, no card. ScriptGrain starts at £12/month (Writer, 1 voice profile) with a free plan: See your own voice profile and try one draft. No card. Noren figures read from their pricing page on 20 September 2026.

Does Noren learn my writing voice?

You "give Noren examples of things you have already written" and it captures "the words you reach for, how long your sentences tend to be, how you make a point, what you avoid". Profiles also record anti-patterns, the words you would never use, and the profile itself is readable, editable and exportable for use with different models. ScriptGrain instead measures 45 style attributes from writing you have already published, and scores every draft against that measured profile.