Kudra

Kudra extracts, classifies, and transforms information from documents with AI-assisted workflows. Teams should define schemas, test varied documents, verify critical fields and tables, protect sensitive files, track provenance, and route low-confidence output to people.

Start with a small, reversible test using only authorized inputs. Configure privacy, permissions, quality, export, and spending controls; compare results with original sources and representative examples; correct errors; and retain human approval before publishing, submitting applications, contacting people, changing production systems, or making consequential decisions.

Free or trial access may be available with paid usage and enterprise options. Pages, documents, models, workflows, integrations, and support affect cost.

AI output and automated actions can be inaccurate, biased, incomplete, unsafe, stale, or misleading, while connected services may process confidential, copyrighted, personal, or regulated information. Check consent, data retention, model training, licenses, anti-spam and platform rules, renewal terms, and accessibility, and use specialist review in high-impact contexts.