Ever spent hours trying to figure out if a piece of content was written by a human or AI?
I did. Reviewing articles, essays, or even social media posts manually is tedious, and honestly… I needed a faster way.
Luckily, I found two free tools for quick checks:
Both work well in the browser, but as a programmer, I started thinking: can I automate AI detection using code?
Using Python + OpenAI to Detect AI Content
Even though MyDetector and DeChecker don’t have APIs, we can use OpenAI GPT models to check if content is AI-generated.
Here’s a simple example using Python:
import openai
# Make sure you set your OPENAI_API_KEY in your environment
openai.api_key = "YOUR_OPENAI_API_KEY"
text_to_check = """
Once upon a time, in a world dominated by AI content...
"""
prompt = f"""
Determine if the following text was likely written by AI or a human.
Answer with only "AI-generated" or "Human-written", and explain briefly.
Text:
{text_to_check}
"""
response = openai.ChatCompletion.create(
model="gpt-4",
messages=[
{"role": "system", "content": "You are an expert AI content detector."},
{"role": "user", "content": prompt}
],
temperature=0
)
result = response['choices'][0]['message']['content']
print(result)
This approach lets you automate detection, even without an official API from MyDetector or DeChecker. You can also batch-check multiple texts, integrate with your workflows, or combine it with other AI detection tools.
Why Automate AI Detection?
- Speed: Process dozens or hundreds of texts in seconds.
- Scalability: Useful for content teams, educators, or researchers.
- Flexibility: You can tweak prompts, use different GPT models, or combine with other tools.
Takeaways
- Manual detection is slow and tedious.
- Free browser tools like MyDetector and DeChecker are handy.
- With a little Python + OpenAI API, you can automate AI content detection and integrate it into your workflow.
Try it out and see how quickly you can detect AI-generated text!
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