anon.li Drop vs Private AI Files: Side-by-Side Comparison (2026)

anon.li Drop: Browser-based E2E encrypted file sharing with zero-knowledge architecture. built by anon.li. Core capabilities include Client-side AES-256-GCM encryption and decryption in the browser, Encrypted file names and drop titles, Multi-file uploads with smart chunking (up to 250GB on Pro)..

Private AI Files: Multi-modal PII detection and redaction for docs, images, and audio. built by Private AI. Core capabilities include PII detection and redaction in documents (PDF, DOCX, and more), Scanning of embedded graphics within documents for PII, Document copy generation with PII blurred..

Both serve the Data Masking market but differ in approach, feature depth, and target audience.

anon.li Drop differentiates with Client-side AES-256-GCM encryption and decryption in the browser, Encrypted file names and drop titles, Multi-file uploads with smart chunking (up to 250GB on Pro). Private AI Files differentiates with PII detection and redaction in documents (PDF, DOCX, and more), Scanning of embedded graphics within documents for PII, Document copy generation with PII blurred.

anon.li Drop is developed by anon.li founded in 2026-01-01T00:00:00.000Z. Private AI Files is developed by Private AI. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

anon.li Drop and Private AI Files serve similar Data Masking use cases: both are Data Masking tools, both cover PII. Review the feature comparison above to determine which fits your requirements.