Translate Documents
Translate extracted content into another language while keeping structure — headings stay headings, tables stay tables.
Illustrative example. This capability is on our roadmap and is not wired to a live demo yet — request early access.
What it is
Translate a document's content into another language while keeping its structure intact — headings stay headings, tables stay tables, and lists stay lists.
Why it's different
Pasting into a generic translator gives you a wall of text — the structure that made the document usable is gone. Teams need the content in a language they read, with the formatting preserved.
What Xberg does
Xberg translates the extracted content into your target language while preserving document structure, so the translated output is as usable as the original.
- Structure survives — headings, tables, and lists are preserved.
- Translate into the target language your team actually reads.
- Runs on the same extracted content as the rest of the pipeline.
- Content translation, not a word-for-word transliteration.
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.