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.
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.
No sign-up required. Free and unlimited.
Bullet points everywhere. Broken JSON. Unnecessary filler phrases. You spend more time cleaning the output than you did writing the prompt.
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.
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.
You drop in any text and get an instant heuristic scan: a 0–100 AI-likelihood score with color-coded explanations. No mystery. No ML. Just logic you can read.
One click converts messy LLM output to structured Markdown, valid JSON, clean CSV, or a polished PDF. No more manual cleanup.
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.
The no-BS tool for anyone who generates, receives, or works with LLM content. Detect patterns. Format outputs. Keep moving.
Drop in any LLM-generated content — up to 10 MB
Get a heuristic breakdown — AI-likelihood score, flagged phrases, structural patterns in under 2 seconds
Export to TXT, Markdown, JSON, or CSV instantly
Your text never leaves your browser. No uploads, no stored prompts, no training on your data.
Readable rules for burstiness, phrases, and vocabulary richness — not another opaque classifier.
Normalization and formatting tuned for docs, tickets, and reports instead of raw model chatter.
Handle large documents. Analysis completes in under 2 seconds for typical inputs.
Undo and history one click away. Restore previous states without re-running analysis.
Free and unlimited. No email, no account wall. Start analyzing immediately.
As an AI language model, I can certainly help 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...
# Summary - Clear overview of the goal - 3–5 concrete steps - Bullet-pointed follow-up actions Tone: direct, human, no boilerplate.
Scan essays for AI-like patterns while keeping student work on-device.
Strip boilerplate from drafts and normalize tone before handing to an editor.
Clean up LLM-generated tickets, docs, and runbooks into predictable formats.
Format and validate LLM API responses for JSON, CSV, or Markdown pipelines.
Assess AI-likeness in surveys, transcripts, and datasets with transparent heuristics.
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
Use Pruneify free — no signup, no limits. Your data never leaves your browser.
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