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Documents in Any Language

Detect the language automatically and OCR across a wide range of scripts — Arabic, Chinese, Cyrillic, Hindi, Japanese, and more.

Extract
document → structured outputextract()
lang: ar
مرحبا بكم في الشركة
التقرير السنوي ٢٠٢٦
税务报告 · 2026
{
"language": "hi",
"blocks": 18
}

What it is

OCR for documents in any language — Arabic, Chinese, Cyrillic, Hindi, Japanese, and dozens more — with automatic language detection, so global teams are not boxed into an English-first pipeline.

Why it's hard

Most pipelines are quietly English-first and degrade on everything else: right-to-left scripts render backwards, non-Latin alphabets come back as noise, and mixed-language pages confuse single-language OCR.

What Xberg does

Xberg detects the language automatically and OCRs across a broad range of scripts, including right-to-left and non-Latin. You do not declare the language — the system figures it out and extracts cleanly.

  • Automatic language detection per document — no manual declaration.
  • Handles right-to-left scripts (Arabic, Hebrew) and non-Latin alphabets (CJK, Cyrillic, Devanagari).
  • Copes with mixed-language pages rather than forcing one language per file.
  • Runs in the same extraction path as the rest of your documents.

Open-source primitives, composed into one backend. Curated cohort of design partners. Apply to work with us.

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