Drop an image, video, or audio file here, or paste one
JPG, PNG, WebP, HEIC, MP4, MOV, WebM, MP3, WAV, M4A · up to 32MB · videos up to 5 minutes
Files are deleted after analysis and never used for model training.
SynthID Detector reads embedded watermarks in AI-generated images, text, audio, and video. It returns a watermarked, not found, or uncertain verdict without requiring the original model or private key.
Watermark signals found
Uncertain
No watermark signals found
SynthID Detector checks AI-generated and edited images, text, audio, and video in one interface. It analyzes supported formats through a single upload workflow.
Image
Text
Audio
Video
SynthID Detector checks supported content from Google tools such as Gemini, Imagen, Veo, and NotebookLM, alongside OpenAI tools such as ChatGPT, DALL·E, and Sora. It also covers selected content from other AI platforms, including Claude, Midjourney, Firefly, and Grok.
OpenAI
SynthID Detector analyzes image patterns, artifacts, and frequency signals when no readable watermark is found. It combines these clues into a fallback AI-image score to support content review.
Likely AI
92
Uncertain
51
Likely real
8
Verifies C2PA-signed provenance manifests, signer identity, generation parameters, and edit history against the C2PA trust list. Identifies verified or unverified credentials alongside SynthID results.
Returns a calibrated 0–100 AI score with five verdicts: likely AI, leaning AI, uncertain, leaning real, or likely real. Applies sentence-level and word-probability analysis to text submissions.
Extracts EXIF, XMP, IPTC, ICC color profiles, and PNG text metadata, including camera data, geolocation, creator, copyright, and capture date when available. Flags missing or stripped metadata as a supplementary detection signal.
Analyzes English text with a transformer model benchmarked on the RAID dataset, examining sentence rhythm, phrase patterns, token distribution, and chatbot residue. Detects potential AI-written text from Claude, ChatGPT, and other language models.
Detects invisible Unicode characters, text-direction controls, tag characters, homoglyphs, smart punctuation, and zero-width characters. Identifies each character type and converts between US and UK spelling.
Analyzes SynthID signals after JPEG or MP3 compression, cropping, resizing, rotation, noise injection, color grading, and H.264 or HEVC re-encoding. Recovers readable signals from many edited or recompressed files when the watermark remains detectable.
Checks for potential watermark evasion involving paraphrasing, homoglyphs, machine translation, semantic rewriting, generative reprocessing, image-to-image pipelines, and humanization tools. Flags possible evasion attempts without treating detection as guaranteed.
Reports word count, sentence count, average sentence length, reading time, and a readability score for every text check, shown next to the AI analysis.
SynthID Detector checks suspicious images, profile pictures, product photos, and screenshots for available watermarks and AI-generation signals. CudekAI provides findings to support authenticity reviews.
SynthID Detector analyzes suspicious profile pictures, product listings, impersonation images, and manipulated receipts for watermark and AI-generation signals. It gives fraud investigators and trust teams an additional screening tool.
SynthID Detector serves journalists and media professionals verifying images, audio clips, and video segments before publication or citation.
CudekAI supports education, publishing, government, finance, healthcare, insurance, and enterprise organizations.
SynthID Detector is available to the general public for individual AI content checks, with user feedback contributing to ongoing detection improvement.
01
Upload an image, video, or audio file, or paste text for analysis. Submit any supported format through the same workflow.
02
Analyze watermark patterns, C2PA credentials, metadata, and AI probability. Receive results after processing.
03
Review the watermark verdict, AI score, credential status, metadata, and hidden-character warnings in one report.
SynthID Detector assesses detection performance across content transformations using published performance data. CudekAI publishes detection performance data so a reviewer can assess the reliability of a verdict before acting on it.
SynthID Detector returns an inconclusive result when signals are unreadable or evidence is insufficient. It treats verdicts as probabilistic evidence, not proof, and reviews disagreements between provenance and visual signals.
SynthID Detector requires no account for a standard check and deletes uploaded files after analysis. CudekAI does not use submitted content for model training.
Connect detection workflows through REST API endpoints with OpenAPI specifications and JSON output. CudekAI also provides AI Detector API and MCP Server options for content moderation and verification integrations.
The watermark verdict gives me a useful starting point when reviewing suspicious images. I can check the available findings before drawing conclusions.
Natalie Reed
Content Reviewer
The C2PA and metadata checks add useful context to image verification. I can review provenance details alongside the detection results.
Marcus Hale
Digital Forensics Analyst
I use the AI probability score to prioritize files that need a closer look. It helps guide my review without making the decision for me.
Priya Nair
Trust and Safety Specialist
Having watermark analysis and metadata findings in one report makes content checks easier to organize. I can review the main signals in one place.
Lucas Moreno
Media Researcher
The file analysis gives me another way to assess questionable AI-generated content. I still consider the available evidence before deciding whether a file is authentic.
Hannah Clarke
Content Manager