Aiscern is a multimodal trust verification platform built to help verify the authenticity of digital content across text, images, audio, and video. It combines AI detection, synthetic media analysis, and trust signals in one unified platform. Instead of simply labeling content as AI-generated or human-made, Aiscern helps users assess whether digital content can be trusted.
Hey Product Hunt! 👋
I’m Anas, founder of Aiscern. We built Aiscern around a simple problem: AI-generated content is becoming incredibly convincing, while trustworthy verification tools are often expensive, fragmented, or limited to text.
**What is Aiscern?**
A free multimodal AI detection and trust verification platform that analyzes **text, images, audio, and video** using an ensemble of detection models. Instead of relying on a single detector, Aiscern cross-checks signals to provide a more informed assessment of content authenticity.
**What you can do with it:**
• 4 modalities: Text, Image, Audio, Video
• Multi-model analysis and cross-verified signals
• Shareable verification reports
• Batch processing for teams
• Free scans with no account required
We’re building Aiscern with a bigger vision: **a trust layer for the synthetic internet** — something journalists, educators, businesses, security teams, and everyday users can actually access.
We’re launching from **Mandi Bahauddin, Pakistan 🇵🇰**, and would genuinely love your feedback.
**What’s the hardest type of content for you to verify today — a deepfake video, cloned voice, AI image, or AI-written text?**
Drop it below. We’d love to hear what you’re seeing in the wild.
*P.S. We believe detection companies should be transparent about benchmarks and limitations, so we’re committed to publishing both.*