> For the complete documentation index, see [llms.txt](https://academy.synap.ac/doc/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://academy.synap.ac/doc/integrations/other-integrations/plagiarism-and-ai-detectors.md).

# Plagiarism & AI Detectors

Customers integrate Synap with plagiarism and AI detection tools, including Turnitin and PlagiarismChecker.

Synap does not provide a built-in integration for these services. However, we have supported several implementations. You can build an integration using Synap APIs and webhooks.

### Typical approach

1. Create custom response or attempt attributes for the data you need.
2. Configure an **Exam Submitted** webhook to trigger the workflow.
3. Use the V3 API to retrieve the submitted response data.
4. Send the response to your chosen detection service using its API key.
5. Receive and extract the relevant result data.
6. Store the result in the response or attempt attributes.

### Store results

Attributes can store structured or unstructured detection results. For example, you can store:

* Free text, such as a summary or unstructured result data.
* Numeric values, such as a plagiarism percentage or detection score.
* Enums, files, and URLs.

These attributes keep the detection data attached to the relevant response or attempt.

### Get help

Implementation details depend on the detection service and your process. Contact us for guidance on your integration.


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