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message: "If you cite DotCheck engines or measured holdout gates, use the citation below."
title: "DotCheck AI-likeness engines (inhouse@14, inhouse-text@12, inhouse-video@4)"
authors:
- name: "DotCheck"
url: "https://dotcheck.ai"
repository-code: "https://huggingface.co/DotCheck"
license: "Apache-2.0"
date-released: "2026-08-25"
abstract: >-
DotCheck serves binary AI-likeness scores for images (wire inhouse@14 /
Vermeer@14.2, pair stack: max-side 256 transport + native 224 center),
text (inhouse-text@12 / Valla@12.2, eight language heads), and video stamps
(inhouse-video@4 / Muybridge@4.4, same pair views then stamp-cap max)
using commercial-clean SigLIP2 spines plus Apache-2.0 heads. Live heads
are published 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@14, inhouse-text@12, inhouse-video@4)"
url: "https://dotcheck.ai/docs"
year: 2026
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