Reality Defender launches public API and free tier

NEW YORK — Reality Defender, a deepfake detection platform, announced the launch of its public developer API and SDK, along with a free tier offering 50 detections per month.

The API enables any developer to integrate enterprise-grade deepfake detection into their applications with just two lines of code, marking a significant step toward natively building trust infrastructure into critical applications.

"By opening up access to our detection platform, we hope to help build a broader ecosystem of trust and safety, combatting deepfake fraud at scale," said Alex Lisle, CTO of Reality Defender. "Whether for fraud detection, identity verification, content moderation, or other purposes, developers can now build our enterprise-grade detection into their platforms."

The API leverages Reality Defender's multi-model approach and introduces a context-aware detection model that looks beyond faces to identify deepfake images using proprietary techniques. Currently supporting audio and image detection, the platform will expand to include other modalities including video in the coming months.

The free tier is designed for developers and production-ready applications across multiple sectors, including: OSINT and media analysis tools, trust and safety platforms, financial services, and brand protection systems.

"We live in an AI-first world, and fraud has never been so prevalent or sophisticated," said Ben Colman, Co-Founder and CEO of Reality Defender. "Just as antivirus and spam detection became essential decades ago, today's threats demand deepfake detection to become a foundational layer of trust."

The API and free tier are available immediately at realitydefender.com/api. Developers can access documentation, SDKs, and begin their integration today.