Graybeard
Well-Known Member
I like this one
api example (if you don't currently have an RapidAPI account.
Visit AI Content Detector for better user experience!
rapidapi.com
Disclaimer:I have no financial interest in this api
(note: OBJECTS and NOT Chunks or tokens)
Our API is capable of detecting AI generated content from the given text using SOTA models.
Limit: 1000 words/ 6200 characters
Recommended limit: 600 characters or more
Chunk-wise analysis: Our API breaks the query into chunks where each chunk is comprised of roughly 600-700 characters and each chunk is validated. The resulting confidence is calculated using weighted average of each chunk.
api example (if you don't currently have an RapidAPI account.
![huggingface.co](https://cdn-thumbnails.huggingface.co/social-thumbnails/spaces/PirateXX/ChatGPT-Content-Detector.png)
ChatGPT Content Detector - a Hugging Face Space by PirateXX
Discover amazing ML apps made by the community
huggingface.co
Visit AI Content Detector for better user experience!
AI-Content-Detector API: How To Use the API with Free API Key | RapidAPI
With the proliferation of ChatGPT, an AI language model, the amount of AI-generated content on the web has skyrocketed. To help users distinguish between human-generated and AI-generated content, We've developed a content detection tool that's been trained on open-qa, wiki_csai, medicine...
![rapidapi.com](https://rapidapi.com/static-assets/default/favicon-8e7d522e-653f-4edd-ac27-3f6ed950e45d.png)
AI-Content-Detector Overview
Disclaimer:I have no financial interest in this api
(note: OBJECTS and NOT Chunks or tokens)
Our API is capable of detecting AI generated content from the given text using SOTA models.
Limit: 1000 words/ 6200 characters
Recommended limit: 600 characters or more
Chunk-wise analysis: Our API breaks the query into chunks where each chunk is comprised of roughly 600-700 characters and each chunk is validated. The resulting confidence is calculated using weighted average of each chunk.
JSON:
“Input”:{
“data”:[
“Enter your query here”
]
}
“Output”:{
“data”:[
{
“Real”: “Float”,
“Fake” “Float”:
},
[
[
“Confidence of chunk 1”,
“Length of chunk 1”
],
[
“Confidence of chunk 2”,
“Length of chunk 2”
]
]
]
}