Show HN: Deidentify data before LLM with Go (github.com)

AlienGiraffe, Inc. has launched an open-source Go library called "deidentify," designed to detect and remove personally identifiable information (PII) from both text and structured data. This powerful tool supports various PII types, including names, emails, phone numbers, and more, while ensuring that data utility is preserved through consistent, deterministic replacements. The library stands out for its format preservation, context-awareness in data deidentification, and ability to handle structured data, making it suitable for diverse applications in the AI and machine learning community. The significance of the deidentify library lies in its ability to address privacy concerns and compliance requirements in data processing. With features like thread safety for concurrent processing and support for international address formats, it enhances data privacy without sacrificing usability. Additionally, the library utilizes deterministic replacements, allowing for reproducible anonymization results, which is crucial for maintaining referential integrity in systems dealing with sensitive information. As organizations increasingly turn to AI and ML technologies, tools like deidentify will become essential for ensuring that personal data is managed responsibly and ethically.