Sold by: Mejuvante AI
Deployed on AWS
Rewrites AI-generated text to sound natural and human adjustable tone, synonym variation, and protected terms. Rule-based NLP, no external LLM calls.
Overview
MJ Humanizer: AI Text Humanization Tool
Transform AI-generated content into natural, human-sounding text without sacrificing data privacy or control. MJ Humanizer uses classical NLP techniques and rule-based transformations to rewrite AI-produced text - no external LLM calls, no data leaving your environment, and no content retention between requests.
The Problem
AI-generated content often carries detectable patterns - repetitive sentence structures, predictable phrasing, and unnatural word choices. Teams publishing AI-assisted content need a reliable way to eliminate these patterns while maintaining accuracy, brand voice, and compliance with data governance policies.
How MJ Humanizer Solves It
MJ Humanizer processes text entirely within your own deployment using deterministic, rule-based NLP transformations. Every request is handled locally and statelessly, delivering predictable results without the latency or variability of external language model calls.
Key Capabilities
Complete Data Privacy
- All text processing happens within your own environment
- No external API calls to third-party LLMs
- Zero data retention between requests
- Suitable for teams with strict data governance and compliance requirements
- Safe for sensitive content workflows including legal, healthcare, and financial documents
Configurable Output Controls
- Adjustable tone settings: choose between formal or informal output
- Synonym aggressiveness slider (0.0 to 1.0) for light touch-ups or thorough rewrites
- Protected terms lists to keep brand names and technical vocabulary intact
- Match your brand voice precisely while eliminating AI-generated phrasing patterns
High-Throughput Stateless Processing
- Each request processed independently with no session state
- Deterministic rule-based transformations deliver consistent, predictable results
- Low latency compared to LLM-based alternatives
- Reliable integration into automated content pipelines and batch workflows
Use Cases
- Content Teams: Clean up AI-drafted blog posts, articles, and marketing copy to sound natural before publication
- Compliance-Sensitive Organizations: Humanize AI-generated text without sending content to external services
- Automated Pipelines: Integrate into CI/CD or content workflows where consistent, fast text transformation is required
- Brand Consistency: Protect specific terminology while transforming surrounding AI-generated phrasing
How It Works
- Submit AI-generated text along with your configuration preferences (tone, synonym aggressiveness, protected terms)
- MJ Humanizer applies rule-based NLP transformations locally within your deployment
- Receive humanized text output with no data stored and no external calls made
Why Choose MJ Humanizer Over LLM-Based Solutions
- Privacy: No content leaves your environment - unlike solutions that route text through external language models
- Predictability: Rule-based transformations produce consistent results without the randomness of generative AI
- Speed: Classical NLP processing delivers faster response times than LLM inference
- Control: Fine-tune output with precise configuration rather than prompt engineering
- Simplicity: Stateless architecture means no session management, no token limits, and no API key dependencies on third-party AI providers
Technical Overview
- Rule-based NLP engine with synonym substitution and sentence restructuring
- Stateless REST API design for easy integration
- No external dependencies on third-party language models
- Configurable parameters exposed via API for programmatic control
MJ Humanizer is built by MeJuvante for teams that need reliable, private, and configurable AI text humanization at scale.
Highlights
- Complete data privacy with no external API calls - MJ Humanizer processes all text entirely within your own deployment using classical NLP techniques. Unlike LLM-based solutions, no content ever leaves your environment, making it suitable for teams with strict data governance, compliance requirements, or sensitive content workflows. Every transformation happens locally with zero data retention between requests.
- Configurable output with adjustable tone and synonym variation - Control your results with formal or informal tone settings, a 0.0-1.0 synonym aggressiveness slider for light touch-ups or thorough rewrites, and protected terms lists that keep your brand names and technical vocabulary intact. Match your brand voice precisely while eliminating AI-generated phrasing patterns.
- Fast, stateless processing for high-throughput content pipelines - Each request is processed independently with no session state or data retention between calls. MJ Humanizer uses deterministic, rule-based transformations that deliver predictable results without the latency or variability of external language model calls, enabling reliable integration into automated content workflows.
Details
Sold by
Categories
Delivery method
Type
Supported services
Delivery option
Text Humanizer MCP Server
Latest version
Operating system
Linux
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
MJ Humanizer Studio Access | Access to MJ Humanizer's rule-based AI text humanization engine. Rewrite AI-generated content to sound natural and human using classical NLP techniques - synonym substitution, sentence structure variation, and phrasing cleanup. All processing runs entirely within your own deployment with no external API calls and zero data retention between requests. Configurable tone, synonym aggressiveness, and protected terms included. | $199.00 |
Vendor refund policy
AWS Marketplace automatically refunds cancellations made within 48 hours of purchase, per AWS Marketplace policy - no request to MeJuvante is needed. Beyond that window, refund eligibility for Custom Engagement contracts is defined in the customer's individual agreement at the time of purchase. For contracts without specific refund terms, MeJuvante offers a full refund within 14 days of the engagement start date, provided implementation work has not yet begun.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Text Humanizer MCP Server
Supported services: Learn more
- Amazon Bedrock AgentCore
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Initial release. MCP server exposing humanize_text tool for rewriting AI-generated text into natural, human-sounding content. Supports adjustable tone (formal/informal), synonym-swap aggressiveness, protected terms, and dash-formatting preservation.
Additional details
Usage instructions
DEPLOYMENT
Container port: 8000 Health check endpoint: GET /ping
Required environment variables:
- DJANGO_SECRET_KEY (required): A secret key used internally by the Django application. Generate one using: openssl rand -hex 32
- DJANGO_TEST_DB_SQLITE (optional): Set to "True" to use SQLite instead of PostgreSQL. Recommended for standalone MCP deployment.
- DEBUG (optional): Set to "False" for production use.
- DJANGO_ALLOWED_HOSTS (optional): Set to "*" or your specific deployment hostname.
Example deployment command: docker run -d -p 8000:8000 -e DJANGO_SECRET_KEY=<your-generated-secret-key> -e DJANGO_TEST_DB_SQLITE=True -e DEBUG=False -e DJANGO_ALLOWED_HOSTS="*" <container-image-uri>
USAGE
MJ Humanizer exposes a "humanize_text" tool via the MCP protocol.
-
Health check: GET /ping -> {"status": "Healthy"}
-
List tools: POST /mcp {"jsonrpc": "2.0", "id": 1, "method": "tools/list"}
-
Call the tool: POST /mcp {"jsonrpc": "2.0", "id": 2, "method": "tools/call", "params": {"name": "humanize_text", "arguments": {"text": "It is important to note that this demonstrates significant patterns.", "tone": "informal", "aggressiveness": 0.15, "keep_em_dashes": false, "protected_terms": []}}}
Parameters:
- text (required, string): the text to humanize
- tone (optional, string): "formal" or "informal". Defaults to "informal".
- aggressiveness (optional, number, 0.0-1.0): synonym-swap rate. Defaults to 0.15.
- keep_em_dashes (optional, boolean): if true, skips dash normalization. Defaults to false.
- protected_terms (optional, array of strings): terms that must never be replaced.
Response: JSON-RPC result containing the humanized text in the content field.
SUPPORT
For support or questions, contact work@mejuvante.co.in .
Support
Vendor support
MeJuvante provides support to help customers with onboarding, job description setup, candidate matching configuration, product usage questions, and troubleshooting.
Email Support For general inquiries, technical assistance, or refund requests, contact the support team at: working@mejuvante.com
Phone Support You can also reach the team by phone:
- +49 6196 777 17 10
- +91 7795248194
Additional support details and resources are provided in your subscription confirmation email. Please reference your subscription ID when contacting support to ensure prompt assistance.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
mjPRO is an enterprise-grade, cloud-enabled procurement platform that digitizes the complete PR-to-Payment journey. It helps organizations streamline sourcing, RFQs, bid evaluation, negotiation, approvals, purchase order creation, supplier collaboration, and procurement analytics through a structured, transparent, and scalable digital platform.
MJ QR Studio is an AI agent that instantly generates QR codes for URLs, plain text, and contact details. Deploy it securely within your own AWS environment for fast, on-demand QR generation without third-party data exposure. Ideal for marketing teams, product packaging, and business card automation.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.