EncypherAI
Embed. Verify. Trust.
29 followers
Embed. Verify. Trust.
29 followers
EncypherAI is an open-source initiative building foundational infrastructure for verifiable AI content. We develop lightweight developer tools that embed cryptographic metadata directly into AI-generated text, like an invisible fingerprint, enabling provable content attribution without relying on unreliable detection methods.
This lets platforms, educators, and publishers verify the origin of AI content instantly and without guesswork.
🔍 Tired of false positives and unreliable AI content detection?
EncypherAI is an open-source Python tool that embeds verifiable metadata into AI-generated text at the moment of creation, so you can prove where it came from, not just guess.
🔒 How it works: EncypherAI adds a secure, invisible signature during generation via Unicode. Anyone can later verify it with unmatched accuracy. No false positives, no false negatives.
✅ Easy to integrate with OpenAI, Anthropic, and local models
✅ Cryptographic verification (not style-based guessing)
✅ Tamper detection built-in
✅ Lightweight, fast, and developer-friendly
This is already sparking conversations with leading LLM providers building toward responsible AI infrastructure. Let’s bring trust back to the written word. Embed. Verify. Trust.
📚 Try it out:
Website: https://encypherai.com
Docs: https://docs.encypherai.com
GitHub: https://github.com/encypherai/encypher-ai
Would love your feedback or a GitHub star if you believe in the mission!