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George Kioko
George Kioko

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Humanize AI Text at Scale Without Paying for Another LLM Call

LLMs are good at producing a first draft. They are also good at producing the same first draft over and over.

The problem is not that the grammar is wrong. The problem is that AI text often has a recognizable texture: uniform sentence length, too many transition phrases, overly clean structure, low burstiness, and phrasing that sounds like it came from a template.

For content teams, SEO operators, newsletter writers, agencies, and AI-agent builders, that creates a last-mile problem. You can generate the draft quickly, but you still need it to sound natural before publishing, sending, or handing it to a client.

That is where a humanization step belongs.

The Problem

Most "make this sound human" workflows call another LLM. That can work, but it adds new costs and new failure modes:

  • Another API call for every piece of text.
  • Possible meaning drift.
  • Slower bulk processing.
  • External model rate limits.
  • Harder cost control.
  • Less predictable output.

If you are building a content pipeline, those tradeoffs matter. A rewrite step should be fast, cheap, and stable enough to run automatically after the draft is generated.

The goal is not to hide bad work. The goal is to turn a robotic first draft into text that reads like a person edited it.

The Solution

AI Text Humanizer API on Apify applies a deterministic humanization pipeline instead of routing the text through another LLM.

It supports:

  • 12 transform passes for phrase cleanup, rhythm changes, sentence variation, and final polish.
  • Five writing styles: casual, professional, academic, creative, and technical.
  • Three humanization levels: light, medium, and heavy.
  • Before-and-after AI detection scoring.
  • Bulk processing for up to 20 texts per request.
  • A Standby HTTP API for real-time integrations.
  • Standard Apify actor runs for batch workflows.

Actor link: https://apify.com/george.the.developer/ai-text-humanizer-api

Quick Start

Run it directly on Apify with this input:

{
  "text": "Furthermore, it is important to note that artificial intelligence has significantly impacted the landscape of modern technology.",
  "style": "casual",
  "aggressiveness": "medium",
  "preserveMeaning": true
}
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The output includes the original text, humanized text, length changes, settings, removed AI phrases, and detection scores before and after the rewrite.

Code Example

Standby API request

const response = await fetch(
  'https://george-the-developer--ai-text-humanizer-api.apify.actor/humanize',
  {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      Authorization: `Bearer ${process.env.APIFY_TOKEN}`,
    },
    body: JSON.stringify({
      text: 'Furthermore, it is important to note that AI has revolutionized content production for modern teams.',
      style: 'professional',
      aggressiveness: 'medium',
      preserveMeaning: true,
    }),
  }
);

const result = await response.json();

console.log(result.humanized);
console.log(result.detection);
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Standard Apify actor run

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
  token: process.env.APIFY_TOKEN,
});

const run = await client.actor('george.the.developer/ai-text-humanizer-api').call({
  text: 'In conclusion, leveraging robust solutions provides a comprehensive advantage for organizations.',
  style: 'casual',
  aggressiveness: 'medium',
  preserveMeaning: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();

console.log(items[0].humanized);
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Bulk processing

const response = await fetch(
  'https://george-the-developer--ai-text-humanizer-api.apify.actor/humanize/bulk',
  {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      Authorization: `Bearer ${process.env.APIFY_TOKEN}`,
    },
    body: JSON.stringify({
      texts: [
        { text: 'First AI-generated paragraph...', style: 'casual' },
        { text: 'Second AI-generated paragraph...', style: 'professional' },
        { text: 'Third AI-generated paragraph...', style: 'technical' },
      ],
      aggressiveness: 'medium',
    }),
  }
);

const { results } = await response.json();
console.log(results.map((item) => item.humanized));
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What the Output Gives You

A humanization API is more useful when it returns more than rewritten text.

This actor returns a before-and-after view:

{
  "original": "Furthermore, it is important to note that...",
  "humanized": "It is worth noting that...",
  "originalLength": 142,
  "humanizedLength": 98,
  "detection": {
    "before": { "score": 87, "verdict": "ai_generated" },
    "after": { "score": 31, "verdict": "likely_human" },
    "improvement": 56
  },
  "settings": {
    "style": "casual",
    "aggressiveness": "medium",
    "preserveMeaning": true
  }
}
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That makes the tool easier to automate. You can reject weak rewrites, retry with heavy, or route content to manual review when the score does not improve enough.

Use Cases

AI content pipelines

Generate a first draft with an LLM, then run the output through the humanizer as the final editing step before publishing.

SEO content operations

Turn structured outlines and AI drafts into copy with more natural sentence rhythm, fewer repeated transitions, and less template-like phrasing.

Agency deliverables

Agencies can standardize the last-mile editing step across blog posts, product descriptions, newsletters, and client reports.

Email and LinkedIn copy

Cold messages that sound like an AI template get ignored quickly. Use a lighter style pass to make generated copy less stiff before it enters an outreach workflow.

AI agent output

If an agent writes summaries, reports, or recommendations, add humanization before the final response is saved, emailed, or posted.

Pricing

AI Text Humanizer API uses Pay Per Event pricing:

  • $0.003 per text humanized.
  • 100 texts cost $0.30.
  • 1,000 texts cost $3.00.
  • 10,000 texts cost $30.00.

Detection-only requests are free according to the actor documentation. Bulk humanization charges per text.

Style Guide

Use casual for blog posts, social copy, newsletters, and everyday writing.

Use professional for LinkedIn posts, client reports, sales copy, and business communication.

Use academic for research-adjacent writing where the tone needs to stay formal.

Use creative for storytelling, brand copy, and more expressive articles.

Use technical for documentation, API guides, and engineering writing where precision matters.

For aggressiveness:

  • Start with medium.
  • Use light when preserving structure is more important than changing tone.
  • Use heavy when the original draft is highly formulaic.

FAQ

Is this another GPT wrapper?

No. The actor documentation describes it as a deterministic transform pipeline with no external API calls.

Does it preserve meaning?

The input schema includes preserveMeaning, and it defaults to true. For sensitive content, still review the output before publishing.

Can I process multiple texts at once?

Yes. The bulk endpoint supports up to 20 texts per request.

Can I only run AI detection?

Yes. The actor includes detection endpoints for checking text without humanizing it.

Should I use this to misrepresent authorship?

No. Treat it like an editing tool. It is best used to improve drafts you are responsible for, not to hide dishonest or low-quality work.

Get Started

Run AI Text Humanizer API on Apify:

https://apify.com/george.the.developer/ai-text-humanizer-api

Use it as a final polish step in content pipelines, AI agents, agency workflows, and automated publishing systems.

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