EncypherAI is a tool that embeds invisible metadata in AI-generated content to verify authenticity, track provenance, and build trust. It acts like a digital watermark for AI text that contains cryptographic proof of AI origin without altering the visual content.
Features
Invisible Embedding
Metadata is embedded using Unicode variation selectors that are invisible to humans but detectable by machines, ensuring the content appears unchanged while maintaining verifiable information.
Streaming Support
Allows integration with streaming responses from Large Language Models (LLMs) like OpenAI and Anthropic, enabling real-time content verification without disrupting AI text generation.
Content Verification
Enables built-in HMAC authentication to verify the integrity of content and detect any tampering, ensuring that the content remains secure and authentic.
Framework Agnostic
Integrates with any Python framework or application with minimal configuration, providing flexibility and ease of use across different tech environments.
HMAC Verification
Allows users to verify AI-generated content authenticity using cryptographic signatures that detect tampering and maintain secure key management.
Flexible Metadata
Enables embedding of various metadata types, from simple identifiers to complex JSON, with automatic serialization and customizable embedding density.
AI Content Verification
Enables content to be inherently trusted by providing built-in proof of origin, preventing unauthorized alterations.
Open Source Access
Provides free access to all core functions for hobbyists and small companies with full source code under AGPL-3.0 license.
Commercial Licensing
Offers commercial license options for companies with over $1M in revenue, including priority support and usage tracking.
Integration Guidance
Provides guidance and support for integrating EncypherAI into existing software solutions, tailored for growth and enterprise-level companies.
License Compliance Assistance
Helps organizations ensure that they are compliant with the licensing terms, especially when modifying or using the software commercially.
Priority Feature Requests
Allows enterprise clients to request prioritized development of specific features or integrations to meet their business needs.
Cryptographic Metadata Embedding
Automatically embeds invisible metadata into AI-generated text to ensure each piece of content is verifiable and tamper-proof.
Open Source Development
Leverages open source technology under the AGPL-3.0 license, allowing community contributions and transparency in metadata processes.
Offline Verification
Enables users to verify the metadata without requiring an online server, ensuring privacy and security.
Open-source and Dual Licensing
The package is available under AGPL-3.0 and dual-licensed for commercial use, encouraging open development and integration.
Cryptographic Metadata Tagging
EncypherAI embeds an encrypted signature within AI-generated text, allowing for mathematically verified authenticity, ensuring that human-written text is not falsely identified as AI-generated.
Open Source Transparency
The tool is open-source, enabling educators, developers, and companies to inspect the code, fostering trust and collaboration in integrating the solution across various platforms.
Dual Licensing Model
EncypherAI offers a dual licensing approach, allowing free use under an open-source license for community users, and a commercial license for companies needing private integration without open-sourcing their own code.