Pangram Launches Two Models for AI Image and Video Detection

What happened

Pangram announced two computer-vision models on November 4, 2026: Pangram Image 1.0 for detecting AI-generated images and the smaller, faster Pangram Image Flash 1.0 for analyzing AI video frame by frame. The release also introduces heatmap output, native video uploads, Chrome extension integration and API (the interface one piece of software uses to talk to another) support for images and video.

In an official launch post on X , Pangram said the model identifies 99.2% of AI-generated images while maintaining a 0.27% false-positive rate. Pangram started with 129 real social-media videos and used 14 video generators to create 100 synthetic videos per generator, sampled from the real set, for 1,529 videos in total.

Each generator received the real video’s first frame and a vision-language model’s description of the action. Image 1.0’s heatmap is intended to localize synthetic material within an image, such as an AI-generated element inside an otherwise real photograph.

Paired Image and Video Tests For its image evaluation, Pangram created synthetic mirrors of 100 real photographs with 12 image generators. Prompts closely matched each original photo, producing 1,200 synthetic images; Pangram reports 99.96% accuracy for Image 1.0 on that company-created set.

The figure describes performance on this targeted pairing of real and synthetic images, rather than a universal accuracy rate for every image encountered online. The video comparison applied a similar synthetic-mirror principle.

Because each real video and its synthetic counterpart share a scene and subject, the design tests whether a detector can distinguish similar clips without rewarding a shortcut that associates particular content with AI. The DF26 Video Benchmark Pangram evaluated Flash 1.0 with DF26 , a benchmark described in a preprint submitted on September 7, 2026.