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Sapling AI Content Detector

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Developer · Sapling

Sapling AI Detector can scan pasted text, PDFs/DOCX files with extractable text, or web pages, displaying both the overall and sentence-level probabilities of AI generation, and offers a browser extension and an API. Detection results may include false positives and false negatives, so they should be verified in conjunction with the language and text length.

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What is Sapling AI Content Detector?

Sapling uses probabilistic models to analyze text, rather than determining authorship. The page displays scores for entire paragraphs and individual sentences, allowing users to review the revised text or use a browser extension to analyze selected web page content.

PDF and Word files are first extracted into text before being scanned, while images require OCR beforehand. Web page inspection, report sharing, the batch document panel, and the API serve as separate workflow entry points; the specific limits are subject to confirmation based on the plan and the API specifications.

The official website notes that short, generic, or essay-like text is more prone to misclassification and clarifies that language support is uneven. The listed multilingual models do not include dedicated Chinese-language support; other languages are scored using the English model, resulting in lower reliability. Accuracy should be interpreted in the context of the specific version, dataset, and threshold.

Key features

  • Full-text and sentence-level probabilities

  • PDF/DOCX Text Extraction Check

  • Web Content Analysis

  • Browser extension

  • Share reports and document workflows

  • Detection API

Use cases and audience

Editing, research, and teams that require text proofreading

  • Auxiliary long-text proofreading
  • Locating generative writing prompts in web pages and documents
  • Integrate detection into the controlled content workflow
Input

Text, extractable PDF/DOCX files, or web page URLs

Output

AI-generated probabilities, sentence tagging, and shareable reports

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