Professional AI content detection and deepfake analysis in Zhengzhou
As generative AI (AIGC) advances rapidly, AI text, face-swapped video, cloned voiceprints and synthetic images that are hard to tell from the real thing pose unprecedented challenges in public opinion, business negotiation, litigation and personal safety. As a leading local innovation technology provider in Zhengzhou, Fengniu Tech draws on its own high-performance compute servers and advanced deep-learning detection models to offer individuals, businesses and judicial institutions comprehensive, efficient and trustworthy AI-generated content identification and deepfake detection.
Scope and Applications
In-depth analysis of whether academic papers, business copy, legal contracts and news reports were generated by mainstream large language models such as ChatGPT, Claude and DeepSeek. We assess lexical complexity, syntactic burstiness and semantic density, and output a precise similarity score.
Deepfake Video and Face-Swap Detection
We detect deepfake traces such as AI face swapping and lip syncing in video. By capturing facial edge noise, abnormal blink frequency, unnatural light transitions and cross-frame blending jitter at a microscopic level, we accurately reveal the source of the forgery.
AI Voiceprint and Cloned Audio Analysis
For suspected AI audio and phone recordings, we identify voice cloning and synthetic traces. We extract high-frequency spectral gaps, unnatural breathing sounds and phase distortion to protect your voiceprint rights and guard against online fraud.
AI Image and Digital Tampering Detection
We analyse creative images generated by Midjourney, Stable Diffusion and similar tools, as well as images erased, edited or heavily altered with Photoshop. Error level analysis (ELA) and underlying metadata (EXIF) are used to examine the integrity of the original pixels.
Standardized Analysis Workflow
1. Intake
A strict confidentiality agreement is signed
Original material is uploaded and received
2. Hybrid Extraction
Accelerated on high-performance local servers
Multi-dimensional feature extraction
3. Detailed Modelling
Modelling of similarity and artificiality factors
Comparison of anomalous frequency bands and edge pixels
4. Reporting
A professional, detailed detection report is produced
Analysis data is physically destroyed
Technical Strengths and Strong Privacy Protection
First-class local compute: Fengniu Tech owns physical high-performance large-model compute servers. All analysis runs locally and offline, with no upload to cloud APIs, eliminating the risk of data exposure on the internet at the physical source.
Privacy above all: We fully understand the trade secrets and personal privacy involved in content detection, and we strictly comply with the relevant national laws and regulations. We make this commitment to you:
- Confidentiality agreement: Before any data is received, both sides must sign a legally binding data confidentiality agreement (NDA);
- End-to-end isolated analysis: The analysis environment is physically cut off from public networks, with purely offline one-way data input;
- Zero data residue: After the conclusions and report are delivered, all original files and analysis fragments are irreversibly shredded and overwritten within 24 hours.
Frequently Asked Questions (FAQ)
Based on the local multi-dimensional hybrid neural network models we deploy, overall recognition accuracy reaches 95% or above for text generated by mainstream large models (such as GPT-4 and DeepSeek) and for deepfake videos.
You need to provide the original files to be examined. For text, send txt/docx/pdf files; for audio and video, please provide original mp3/wav/mp4 files that have not been re-compressed, so we can extract more microscopic spectral and pixel features.
We apply strict privacy protection, and we can sign a formal non-disclosure agreement (NDA) with you before testing. All analysis and detection runs in Fengniu Tech's isolated local compute environment, and once the report is delivered we keep no data at all - it is destroyed immediately at the physical level.
Our in-depth report covers several core dimensions: 1. Text: statistical feature analysis based on perplexity and burstiness, plus generation watermarks and probability distribution maps of specific large models; 2. Audio and video: microscopic pixel interpolation anomalies, noise consistency checks, lip optical-flow deviation and spectrogram harmonic discontinuity. The report provides scientific charts and confidence conclusions.
Yes. Many corporate clients and legal teams ask us to carry out an initial technical assessment when facing forged medical certificates, false resignation reports, or fraudulent AI voice-changing or synthesized recordings. Our professional technical analysis report provides strong technical data support for internal discipline inspection, compliance review or labour dispute mediation, and helps legal teams establish the facts quickly.
