This article shares the author’s research findings on Google SynthID invisible watermark technology. Through reverse engineering, the author successfully identified watermark features and attempted to implement localized watermarking functionality. Although the current results are incomplete, it provides valuable technical exploration ideas and implementation directions. The article includes technical detail sharing and a disclaimer, emphasizing that the research is for learning purposes only. This research is significant for understanding the identification and traceability technology of AI-generated content, and has reference value for technical personnel and researchers in related fields.
