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message: "If you cite DotCheck engines or measured holdout gates, use the citation below."
title: "DotCheck AI-likeness engines (inhouse@5, inhouse-text@9, inhouse-video@2)"
authors:
- name: "DotCheck"
url: "https://dotcheck.ai"
repository-code: "https://huggingface.co/DotCheck"
license: "Apache-2.0"
date-released: "2026-07-26"
abstract: >-
DotCheck serves binary AI-likeness scores for images (wire inhouse@5 /
Vermeer), text (inhouse-text@9 / Valla, seven languages), and video frame
bags (inhouse-video@2 / Muybridge) using linear/logistic heads on frozen
commercial-clean backbones. Live heads are published under Apache-2.0 on
Hugging Face; everyday product scoring runs through DotCheck.
keywords:
- ai-detection
- image-classification
- text-classification
- video
- siglip2
preferred-citation:
type: soft
authors:
- name: "DotCheck"
title: "DotCheck engines (inhouse@5, inhouse-text@9, inhouse-video@2)"
url: "https://dotcheck.ai/docs"
year: 2026
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