TextHumanize — Dual License

Copyright (c) 2025-2026 TextHumanize Contributors (ksanyok)

This software is available under a dual license model:


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 OPTION A — FREE LICENSE (Personal / Non-Commercial / Academic)
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Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to use,
copy, modify, and distribute the Software for:

  • Personal projects (not generating revenue)
  • Academic and research purposes
  • Educational use
  • Open-source projects (non-commercial)
  • Evaluation and testing

Subject to the following conditions:

1. The above copyright notice and this license shall be included in all
   copies or substantial portions of the Software.

2. You may NOT use the Software in any product, service, or internal tool
   that generates revenue, directly or indirectly, without a Commercial
   License (Option B below).

3. Attribution to the original project is required:
   "Powered by TextHumanize — https://github.com/ksanyok/TextHumanize"


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 OPTION B — COMMERCIAL LICENSE
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Commercial use of the Software requires a paid license. A "Commercial License"
grants you the right to use, modify, and integrate the Software into products,
services, and internal tools that generate revenue.

Commercial use includes, but is not limited to:
  • SaaS platforms that process text using the Software
  • Internal business tools (content pipelines, editorial systems)
  • Products or services sold to customers
  • Agencies or consultancies using the Software on behalf of clients
  • Any use within a company with > 1 employee that benefits from the Software

Commercial License tiers:

  ┌─────────────────────┬─────────────┬──────────────────────────────────┐
  │ Tier                │ Price/year  │ Includes                         │
  ├─────────────────────┼─────────────┼──────────────────────────────────┤
  │ Indie               │ $199/year   │ 1 project, 1 developer           │
  │ Startup             │ $499/year   │ Up to 3 projects, up to 5 devs   │
  │ Business            │ $1,499/year │ Unlimited projects, up to 20 devs│
  │ Enterprise          │ Contact us  │ On-prem, SLA, priority support   │
  └─────────────────────┴─────────────┴──────────────────────────────────┘

All commercial licenses include:
  • Full source code access
  • All future updates within the license period
  • Email support (response within 48h for Startup+)
  • Bug-fix priority for Business+
  • License key for CI/CD verification (optional)

Enterprise licenses additionally include:
  • On-premises deployment support
  • SLA with guaranteed response times
  • Security audit documentation
  • Custom integration assistance
  • Dedicated support channel

To purchase a commercial license or request a quote:
  • Email: ksanyok@me.com
  • GitHub: https://github.com/ksanyok/TextHumanize/issues (tag: "licensing")


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 DISCLAIMER
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.


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 PROPRIETARY TECHNOLOGY — ASH™ (Adaptive Statistical Humanization)
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The following technologies, methods, and algorithms are the original
intellectual property of Oleksandr K. (ksanyok), developed specifically
for the TextHumanize project. The names, concepts, and implementations
are proprietary and may not be used, copied, or adapted to create
competing products or services without explicit written permission.

  1. ASH™ (Adaptive Statistical Humanization)
     Unified technology combining five proprietary methods into a
     coherent humanization pipeline.

  2. Perplexity Sculpting™
     Method of reshaping the perplexity curve of AI-generated text
     to match human writing patterns by introducing controlled
     "surprise" tokens at statistically smooth regions.

  3. Statistical Signature Transfer™ (SST™)
     Method of computing a multi-dimensional statistical fingerprint
     of text and systematically shifting it toward the human-text zone
     using targeted, metric-guided transformations.

  4. Watermark Forensics™
     Method of detecting and neutralizing statistical watermarks
     (such as Kirchenbauer-style green/red token bias) embedded
     by large language models, using multi-scheme hash analysis
     and targeted synonym replacement.

  5. Cognitive Load Modeling™
     Method of simulating human cognitive constraints — attention drift,
     working memory limits, fatigue signatures — to introduce natural
     quality variation throughout a document.

  6. Adversarial Ensemble Self-Play™
     Method of iterative, detector-guided humanization using an ensemble
     of architecturally diverse detection systems that generate per-sentence
     problem maps, with targeted fixes applied only to flagged sentences.

These method names (marked with ™) and their underlying algorithms are
the proprietary creations of the author. Use of these names or reimplementation
of these specific methods in competing products requires a separate license
agreement. The ™ designations indicate trademark claims by the author.

Contact: ksanyok@me.com
