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Pruneify detects AI-generated patterns and formats raw LLM responses into clean, usable structures — using pure logic, zero black-box ML. Built for developers, researchers, writers, and anyone who works with AI daily.

Heuristic-based AI detection — transparent rules, not guesswork
Clean up LLM output and formatting in one click
100% client-side processing — your data never leaves your browser

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No sign-up required. Free and unlimited.

Paste text

The implementation is designed to provide a comprehensive solution that ensures optimal results for your workflow…

74% AI-Like

Formatted output

# Summary - Implementation provides a solution - Optimized for workflow Next step: copy cleaned text or download it as TXT.

Sound Familiar?

You copied an LLM response into your doc… and it's a mess.

Bullet points everywhere. Broken JSON. Unnecessary filler phrases. You spend more time cleaning the output than you did writing the prompt.

You don't know if the content you received is actually AI-generated.

Your intern submitted a report. A client sent a proposal. A student turned in an essay. You have no idea how to verify it without uploading it to a sketchy detector that might store your data.

Every AI detector out there is a black box.

GPTZero, Turnitin — they all use ML models you can't see, audit, or trust. And they still produce false positives on your own writing.

The problem isn't that LLMs exist. It's that nobody built the right tools for the humans working with them every day.

Imagine This Instead.

You paste. You know. In seconds.

Drop in any text and get an instant heuristic scan: a 0–100 AI-likelihood score with clear explanations. No mystery. No ML guesswork. Just logic you can read.

Your output is clean before it ever leaves the tool.

One click converts messy LLM output into clean, normalized text you can safely copy or download as a TXT file — with obvious LLM footprints stripped out before your draft ever leaves the browser.

You finally trust what you're working with.

Whether you're a teacher reviewing essays, a dev parsing API responses, or a writer cleaning up drafts — you have full transparency into what's AI-influenced and what isn't.

There's a new way to work with LLM content — and it doesn't require handing your data to another AI.

Pruneify — LLM Detector & Formatter

The no-BS tool for anyone who generates, receives, or works with LLM content. Detect patterns. Format outputs. Keep moving.

How It Works

Paste Your Text

Drop in any LLM-generated content — up to 10 MB

Run the Scan

Get a heuristic breakdown — AI-likelihood score, flagged phrases, structural patterns in under 2 seconds

Review & reuse

Copy cleaned text or download a TXT file you can paste anywhere.

Why this tool?

Zero server upload

Your text never leaves your browser. No uploads, no stored prompts, no training on your data.

Transparent heuristics

Readable rules for burstiness, phrases, and vocabulary richness — not another opaque classifier.

Output you can reuse

Normalization and formatting tuned for docs, tickets, and reports instead of raw model chatter.

Files up to 10 MB

Handle large documents. Analysis completes in under 2 seconds for typical inputs.

Last 20 actions stored

Undo and history one click away. Restore previous states without re-running analysis.

No signup required

Free and unlimited. No email, no account wall. Start analyzing immediately.

Before & After

Raw LLM output

As an AI language model, I can certainly help you with that. Below is a comprehensive, step-by-step breakdown that will walk you through everything you need to know in order to get started quickly and effectively...

First, we will outline the high-level strategy. Then, we will delve into implementation details, followed by testing, optimization, and monitoring recommendations. Finally, we will wrap up with a summary and next steps you can take to ensure long-term success.

It's important to note that leveraging these cutting-edge solutions requires a robust and scalable approach. The seamless integration of these components facilitates a comprehensive solution that—when properly implemented—boasts significant advantages over traditional methods…

Pruned & formatted

You can use this approach to get started quickly and adjust it as you go.

First, outline the high-level strategy. Then describe the implementation details, followed by testing, optimization, and monitoring. Finally, close with a short summary and a clear list of next steps.

Pruneify removes boilerplate like “As an AI language model…”, normalizes punctuation (— → --, … → ...), fixes curly quotes, and cleans up spacing so the draft is easier to read and reuse — without sending it to another model.

Common use cases

Educators

Scan essays for AI-like patterns while keeping student work on-device.

Writers & editors

Strip boilerplate from drafts and normalize tone before handing to an editor.

Engineers & ops

Clean up LLM-generated tickets, docs, and runbooks into predictable formats.

API testing

Normalize and validate LLM API responses so they are easier to feed into your own JSON, CSV, or Markdown pipelines.

Research & analysis

Assess AI-likeness in surveys, transcripts, and datasets with transparent heuristics.

Content moderation

Flag synthetic text in submissions while keeping sensitive content local.

I built Pruneify because I was tired of either guessing whether content was AI-generated, or spending 20 minutes cleaning up LLM outputs by hand. This isn't another AI wrapped in AI — it's programmatic, transparent, and fast. No model. No guesswork. Just rules that work.
— Founder, Pruneify

Stop Guessing. Start Knowing.

Use Pruneify free — no signup, no limits. Your data never leaves your browser.

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