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AI text and image detectors compressed for client-side browser use

A developer has successfully compressed an AI text detector, originally based on the RoBERTa model, from approximately 500 MB to 97 MB, enabling it to run client-side in a web browser. Additionally, an image detector was reduced to 26 MB. These compressed models utilize ONNX Runtime Web for execution, with performance optimizations including mixed-precision quantization and WebGPU support. The project aims to provide a privacy-preserving AI detection tool that does not require users to upload their data. AI

IMPACT Enables privacy-preserving AI detection tools that run directly in the browser.

RANK_REASON Developer-created tool/optimization for existing models.

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI text and image detectors compressed for client-side browser use

How we ranked this

Signal score
0 / 100
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Newsworthiness bucket
Tool
Developer-created tool/optimization for existing models.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Alternative_Detail31 ·

    Compressed a RoBERTa AI-text detector from ~500 MB to ~97 MB so it runs client-side in the browser, plus a 26 MB image detector [P]

    <!-- SC_OFF --><div class="md"><p>I wanted an AI text and image detector that doesn't need you to upload anything, so I took two existing open detectors and got them running fully client-side with ONNX Runtime Web.</p> <p>Demo: <a href="https://tinydetect.ritabratamaiti.com/">htt…