Bulk Archive Digitization
Structure millions of legacy and scanned documents for search and ML — built for batch on a Rust-native core.
Digitizing a backlog of millions of legacy and scanned documents is where most pipelines stall — throughput and reliability matter more than any single clever feature.
Xberg's Rust-native core processes documents in milliseconds and is built for batch, so you can structure entire archives for search and ML on a single API key, without weeks of processing.
More use cases
RAG Pipeline Ingestion
Turn a pile of PDFs, Office docs, and HTML into clean, chunked, embedded data for your vector database — in one call.
Document-Reading Agents
Give your AI agents one tool to read any document — 100+ formats, structured output, every framework.
Replace Legacy IDP
Swap brittle, template-based processing for one API that returns schema-mapped JSON — no templates to maintain.