Unmask AI Content
Instantly detect AI-generated text and images with open-source, privacy-first analysis. No sign-up required.
Is it AI?
How It Works
Multiple detection signals combined into a single confidence score. No black boxes — every metric is transparent.
Text Detection
Analyze text using perplexity scoring, burstiness analysis, entropy measurement, and a RoBERTa-based ML classifier — all combined into a weighted ensemble.
Image Detection
Detect AI-generated images through FFT frequency analysis, EXIF metadata inspection, and a dedicated image classifier model — no detail goes unnoticed.
Developer API
RESTful API with API key authentication, full OpenAPI documentation, and rich JSON responses including confidence scores, analysis metrics, and flagged segments.
Why AI Detection Matters
AI-generated content is accelerating across the web. As large language models produce text indistinguishable from human writing and image generators create photorealistic visuals at scale, the ability to verify content authenticity has become a critical tool for publishers, educators, and platforms.
of Google searches now trigger an AI Overview response
growth in AI-referred web sessions between January and May 2025
weekly active ChatGPT users generating and consuming AI content
more likely — AI text scores lower on perplexity and burstiness than human writing
Frequently Asked Questions
Everything you need to know about AI content detection with DeepFlag.
- What is DeepFlag.ai?
- DeepFlag.ai is a free, open-source AI content detector that analyzes text and images to determine whether they were generated by an AI. It combines multiple detection signals into a single confidence score and shows a transparent per-metric breakdown — no black boxes. No sign-up is required to use the tool.
- How does AI text detection work?
- Text detection uses a weighted ensemble of four signals: perplexity scoring (AI text tends to choose highly predictable word sequences), burstiness analysis (AI text has low sentence-length variation), entropy measurement (AI text shows less randomness in word selection), and a RoBERTa-based ML classifier trained on human and AI-written samples. Each signal contributes to a final confidence score from 0 to 100%.
- How does AI image detection work?
- Image detection runs three checks: FFT (Fast Fourier Transform) frequency analysis to identify unnatural patterns in pixel distribution that AI generators leave behind, EXIF metadata inspection to flag missing or inconsistent camera data typical of synthetic images, and a dedicated image classifier model trained on real versus AI-generated images. All three signals are combined into one confidence score.
- Is my text or image stored or used for training?
- No. All content you submit is processed in real time and immediately discarded. DeepFlag.ai does not store, log, or use your submissions for model training. No account is required, so there is no user profile to associate with your queries.
- Is DeepFlag.ai free to use?
- Yes. The web detector is completely free and requires no sign-up. A Developer API is also available for teams that need to integrate AI detection into their own applications or content moderation pipelines.
- Does DeepFlag.ai have an API?
- Yes. The DeepFlag API is a RESTful service with API key authentication and full OpenAPI documentation. Responses include a confidence score, per-metric breakdowns, and flagged segments — making it easy to build automated content moderation workflows.