Overall text detection
Analyze pasted text and review an overall AI probability score for the full passage.
Sapling AI Detector
Sapling AI Detector estimates whether text was written by a human or generated by AI, with support for pasted text, PDFs, and Word documents. It also offers an API for higher-volume screening and sentence-level review.
Overview
Sapling AI Detector is a web-based tool and API for estimating whether text is human-written or generated by an AI model. It is positioned as an AI content detector and “slop detector” that returns an overall probability score, with optional sentence-level and token-level detail for closer review.
The product supports pasted text in the browser, as well as PDFs and Word documents, and the developer documentation describes a JSON API for higher-volume workflows. Sapling also applies the same detector to adjacent use cases such as resume screening, where suspicious sentences can be highlighted for review rather than used as a standalone hiring decision.
Core features
Document analysis
Upload PDF and DOCX files or use the site’s text input flow to inspect documents without manual extraction.
Sentence and token highlighting
Review sentence-level predictions and token-level outputs to see which portions of the text look most machine-generated.
Share certificate
Generate a shareable certificate that expires after three days, which can be copied from the result view.
API access
Use the detector through the API for bulk screening, structured JSON output, and integration with ATS or other workflows.
Multi-model coverage
Work with detection designed for recent and older LLM outputs, including GPT-5, Claude 4.5, Gemini 2.5, Qwen3, DeepSeek-V3, and related model families.
Common use cases
Editorial and writing review
Paste an article, assignment, or brief into the detector to get an overall AI probability score before publishing or submitting it.
Resume screening
Upload resumes or cover letters and inspect the sentence-level highlights to focus human review on suspicious sections.
Team and pipeline integration
Send batches of text through the API to support higher-volume review inside internal tools, ATS systems, or other workflows.
Document-based review
Use the detector on PDFs and Word documents when the original content is stored in files rather than plain text.
Spot-checking AI-generated content
Check mixed or uncertain passages when you want a quick signal about whether the text may have been generated or heavily assisted by AI.
Pros and Cons
Pros
- Covers both direct web use and API-based workflows.
- Supports PDFs and DOCX files in addition to pasted text.
- Provides sentence-level and token-level detail for manual review.
- Documented against current model families such as GPT-5, Claude 4.5, Gemini 2.5, Qwen3, and DeepSeek-V3.
Cons
- Sapling warns that false positives and false negatives can occur, so results should not be treated as conclusive proof.
- Short text and highly formulaic writing can reduce accuracy.
- The site notes that longer queries may require paid access or chunking for very large inputs.
FAQ
How do I use the AI detector?
You can paste text into Sapling’s free detector, or upload a PDF or DOCX file for analysis. The result includes an overall AI probability score and, when available, sentence-level highlighting.
What kinds of content does it analyze?
The source materials show detection for text, PDFs, and Word documents. The product pages also mention detection of AI-generated resumes and job applications through the same detector flow.
Which AI models can it detect?
The detector is documented for recent models including GPT-5, Claude 4.5, Gemini 2.5, Qwen3, DeepSeek-V3, and other current models. The API documentation also mentions support for OpenAI GPT, Google Gemini, Anthropic Claude, Llama, and Mistral families.
Can teams integrate it into an internal workflow?
Yes. Sapling offers an AI Detector API for high-volume screening, and the documentation describes JSON responses with overall scores and sentence-level predictions. The product pages also note enterprise and contact-sales options for larger teams.
Are the results definitive?
No AI detector should be treated as conclusive on its own. Sapling states that false positives and false negatives can occur, and short or highly formulaic text can affect accuracy.
Quick Facts
- Product type
- AI content detector
- Platform
- Web app and API
- Primary users
- Individuals, recruiters, and teams
- Supported files
- Text, PDF, DOCX
- API endpoint
- `https://api.sapling.ai/api/v1/aidetect`
- Source domain
- sapling.ai
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