eleyed - 2026 Pricing, Features, Reviews & Alternatives

eleyed is a privacy-first document redaction platform that detects and removes personally identifiable information from text documents and PDF files before distribution. The system is built on a zero retention architecture that prevents any submitted content from being written to disk or retained in logs or backups. The platform is designed for legal professionals, human resources teams, healthcare organizations, financial services firms, developers and any entity that requires secure handling of sensitive documents.

The service offers automated detection and redaction of a comprehensive range of sensitive data types, including personal names, email addresses, phone numbers, physical addresses, identification numbers, national provider identifiers, protected health information and payment card data. Content can be submitted by uploading PDF files in native, scanned or photographed formats or by pasting plain text directly into the web interface. Custom term and pattern definitions enable organizations to include additional data types for redaction. All processing occurs in memory and documents are discarded immediately after the redaction process completes.

The redaction engine operates entirely on proprietary servers and does not route content through external artificial intelligence services. An API-first architecture supports seamless integration into existing workflows, machine learning pipelines and artificial intelligence systems at scale. The web-based service requires no software installation or configuration and delivers redacted documents within seconds of submission. Payment processing is handled exclusively through a single payment provider, with eleyed retaining only minimal transaction data to support activity tracking.

Analytics are self-hosted and cookie-free to eliminate third-party tracking and consent requirements. The service maintains user transaction history that records operation details and timestamps to support auditing and accountability. This approach ensures compliance with data protection standards by preventing persistent storage of sensitive content.