How to tell if an image is AI-generated (2026 guide)
Modern image generators — Midjourney, DALL·E, GPT-4o, Stable Diffusion, Flux — have erased most of the obvious "tells" (six fingers, melted text). Eyeballing is no longer reliable. The dependable approach is forensic: check the signals a generator leaves behind. Here are the six anyone can check.
The 6 forensic signals
- Generator fingerprints. Many files carry metadata signatures from Stable Diffusion, Midjourney, DALL·E, Adobe Firefly, Flux, or a C2PA "content credentials" manifest. Their presence is near-conclusive — though they're often stripped.
- EXIF / camera provenance. A real photo usually carries a camera make/model EXIF chain. Generators and screenshots strip it.
- Edit-history traces. Photoshop/GIMP-class markers show the image was post-processed.
- Error-Level Analysis (ELA). Compression error that's unnaturally uniform across the frame is typical of fully synthetic or re-rendered images.
- Sensor-noise statistics. Real camera sensors produce organic, uneven noise; diffusion outputs look too clean or too uniform.
- Geometry / resolution priors. Resolutions that exactly match common generator latent grids (e.g., perfect squares divisible by 64) are weakly suspicious.
No single signal is proof — the trick is to fuse them into one calibrated risk score.
Try it free → Drop any image into DEEF.AI. The free scan runs 100% in your browser — your file is never uploaded — and fuses all six signals into a risk score in seconds.When to run a deep scan
For high-stakes cases (legal, KYC, journalism), the heuristic free scan is screening-grade. A paid Neural Deep Scan adds a cloud neural-ensemble model for materially higher confidence and produces a court-ready report with a SHA-256 fingerprint that locks the exact file analyzed.
A practical checklist
- Run the free in-browser scan first — it's instant and private.
- Read the per-signal evidence, not just the score.
- If the verdict matters, run a Neural Deep Scan and save the evidence report.
- Remember: detectors output probabilities, not certainties — corroborate for important decisions.
FAQ
Can you tell just by looking?
Sometimes, but it's unreliable in 2026. Use forensic signals instead of intuition.
What's the most reliable free way?
A forensic detector that fuses multiple signals. DEEF.AI's free scan does this in-browser with no upload.
Are detectors 100% accurate?
No. Treat the result as calibrated decision support and corroborate for high-stakes use.
DEEF.AI provides screening-grade decision support. No detector is 100% accurate.
如何判断一张图片是不是 AI 生成的（2026 指南）
如今的图像生成器——Midjourney、DALL·E、GPT-4o、Stable Diffusion、Flux——已经抹掉了大部分明显破绽（六根手指、糊掉的文字）。靠肉眼看已经不可靠。可靠的办法是取证：检查生成器留下的信号。下面是人人都能查的 6 个。
6 个取证信号
- 生成器指纹。很多文件带有 Stable Diffusion、Midjourney、DALL·E、Adobe Firefly、Flux 的元数据签名，或 C2PA「内容凭证」清单。一旦出现几乎是决定性证据——但常被剥离。
- EXIF / 相机溯源。真实照片通常带相机品牌型号的 EXIF 链；生成器和截图会剥离它。
- 编辑痕迹。Photoshop/GIMP 类标记说明图片经过后期处理。
- 误差级别分析（ELA）。全图异常均匀的压缩误差，是完全合成或重渲染图像的典型特征。
- 传感器噪声统计。真实传感器噪声有机、不均匀；扩散模型输出往往过于干净或均匀。
- 几何 / 分辨率先验。恰好吻合常见生成器潜变量网格的分辨率（如可被 64 整除的完美正方形）属弱可疑。
单一信号都不是铁证——关键是把它们融合成一个校准过的风险分。
免费试试 → 把任意图片拖进 DEEF.AI。免费扫描 100% 在你的浏览器里运行——文件绝不上传——几秒内把 6 个信号融合成风险分。什么时候该跑深度扫描
对高风险场景（法律、KYC、新闻），免费的启发式扫描属初筛级。付费的神经深度扫描叠加云端神经网络集成模型，置信度显著更高，并生成含 SHA-256 指纹的可举证报告，锁定被检的确切文件。
实用清单
- 先跑免费的浏览器内扫描——即时且私密。
- 看逐信号证据，而不只看分数。
- 若结论重要，跑一次神经深度扫描并保存证据报告。
- 记住：检测器输出的是概率而非定论——重要决策请另行佐证。
常见问题
能只靠肉眼看出来吗？
有时能，但 2026 年已不可靠。请用取证信号而非直觉。
最可靠的免费方法是什么？
融合多信号的取证检测器。DEEF.AI 免费扫描在浏览器内完成、不上传。
检测器能 100% 准确吗？
不能。把结果当作校准过的决策辅助，高风险用途请另行佐证。
DEEF.AI 提供初筛级决策辅助。没有任何检测器能做到 100% 准确。