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News · 2026-10-30

GhostTube Seer brings AI image generation into ghost hunting

@neuronium_ai @neuronium_ai

Ghost hunters have long used phone sensors and custom software to look for signs of paranormal activity. Now Amy Wayne and Jarrad Cutting are adding generative AI to the hunt: their app GhostTube Seer turns readings from a phone’s magnetometer into words and phrases, then uses them to generate images. The app has more than a million downloads, according to its Google Play page, and requires a paid monthly subscription. Its arrival puts a new tool in the hands of ghost hunters—and a question before a community already uneasy about AI-made stories and images.

Cover: GhostTube Seer brings AI image generation into ghost hunting

What Seer does

Seer scans an empty room. Users can decide whether anything is there. Wayne and Cutting say the app can create images of the supernatural, and users can post those images to a shared feed and comment on one another’s work.

The app has appeared regularly in the duo’s videos since its release in 2023. In a recent video on their YouTube channel, Amy’s Crypt, they tried it in a room they had chosen in the Winchester House, a mansion associated with ghost stories.

“Can you show what happened in this room before?” Cutting asked. Seer produced an abstract image of wooden walls and golden curtains. The pair guessed it might depict one of the mansion’s bedrooms. The app also generated images of people and animals, including a woman reading, a woman in a black shawl and a flock of white birds. Wayne and Cutting connected each image to a story about the house.

For other people in the paranormal community, AI is less a tool than an unwelcome presence. Since ChatGPT launched in 2022, the internet has filled with AI-generated ghost stories and supernatural images. The popular horror-fiction forum r/nosleep has banned AI-generated material.

That tension is part of a longer history. Technology has often shaped interest in the paranormal, says Alex Matsuo, a researcher and author who also works in the technology industry. Thomas Edison once tried to develop a “spirit phone” to communicate with the dead; the idea has a modern echo in chatbots designed for that purpose. Spirit photography, widely discussed in the 19th and early 20th centuries, was also tied to new photographic techniques.

What the images can’t answer

Matsuo tried Seer when it first appeared and remains skeptical of its results. Her central question is what data large language models are trained on to decide what a ghost is.

She also raises questions about how image generators use copyrighted work, and whether ghost-hunting chatbots could steer users into their own paranormal echo chambers. I think those questions matter more than whether an app can produce a convincing image: a generated picture can look like evidence without telling users what, if anything, it is evidence of.

AI is not limited to Seer. Paranormal researcher Sean Austin, who appeared in a Travel Channel ghost-hunting series, launched Spirit Phone Innovations. It uses what Austin calls “advanced AI” to analyze audio signals and search for electronic voice phenomena, or EVP, a known method of looking for paranormal evidence.

Matsuo says human experience should remain at the center of ghost hunting. Many people enter the field after trauma or loss, she says, and for some it is a way to cope with grief. The search can also be an attempt to find answers to the unknown or confirm that ghosts exist.

The places at stake

The tools are changing, but so are the places where people use them. In late 2025, a former psychiatric hospital in Pennsylvania, a popular destination for visitors who considered it haunted, was sold to a data-center developer planning to demolish it. Local residents organized and stopped the plan in May.

My guess is that the deeper divide is not between people who accept AI and people who reject it. It is between treating paranormal investigation as a search for patterns and treating it as a human response to loss, uncertainty and place. An app can generate the image; it cannot settle what the image means to the person looking at it.

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