Native-Language Extraction with ADE: Reduce Translation Tax

Native-Language Document Extraction with ADE! Most extraction tools depend on translation pipelines, which introduce loss of meaning, misclassification, and extra steps for teams working with non-English documents. This blog breaks down why this “translation tax” creates accuracy gaps in medical, financial, legal, and administrative workflows. Agentic Document Extraction (ADE) removes that dependency by supporting complete native-language processing from input to output. The blog walks through how ADE enables: • Direct parsing of non-English text • Schema definitions written in natural, domain-specific language • Structured output in the original language • Higher precision on technical and operational terms • Zero translation overhead for users The post also highlights real use cases, including health record analysis, financial document verification, and employment workflow checks, showing how native-language extraction improves accuracy and reduces manual review. Link to the blog in the comments!