Distinguishing AI-generated content from human-written text in Vietnamese remains difficult due to the limited availability of dedicated open-source tools. In this paper, we present VietAIDetector, an open-source software tool designed for practical Vietnamese AI-generated text detection. Operating on a zero-shot scoring engine derived from VietBinoculars~\cite{nguyen2025vietbinoculars}, the software requires no domain-specific retraining and accepts raw text, DOCX files, native PDF documents, and scanned PDFs via integrated optical character recognition. To handle long documents beyond conventional input lengths, the tool combines sliding-window chunking with document-level score aggregation. VietAIDetector offers an interactive Gradio web interface with configurable operating thresholds, including Youden's J statistic, the Closest Point approach, and a low false-positive rate criterion, with results exportable as downloadable PDF reports. Empirical validations confirm that this chunking pipeline mitigates threshold drift on multi-thousand-token documents while maintaining practical runtime throughput under GPU deployment. The tool is publicly available at https://github.com/trieuntu/VietAIDetector.

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