Klippa vs OneKE

OneKE is an open-source framework designed for schema-guided information extraction (NER, RE, EE) using instruction-tuned LLMs. It supports bilingual Chinese-English, uses a JSON-like instruction format, and includes a negative sample dictionary to reduce false positives. It's built on a 13B-parameter model and can be quantized to 4-bit for low-power devices. Klippa is an enterprise platform covering the full document lifecycle: OCR, data extraction, classification, anonymization, verification, and fraud detection. It offers dedicated APIs for ID verification (with liveness and NFC) and document verification, plus a workflow builder and prompt builder for AI extraction templates. Klippa integrates with 10+ ERP systems (Exact, NetSuite, SAP) and supports e-invoicing via Peppol. While OneKE excels in research and custom extraction tasks, Klippa provides out-of-the-box automation for real-world business documents with compliance certifications.

OneKE is completely free and open-source, allowing unlimited usage with no per-document costs. You only pay for compute (GPU) if self-hosting. Klippa's pricing is contact-based, typical for enterprise SaaS: likely per-document or subscription tiered by volume. For a low-volume research project, OneKE is costless; for a high-volume invoice processing operation, Klippa's automation can reduce manual labor costs by 80% per its claims, offsetting the subscription fee. OneKE requires additional investment in technical expertise and infrastructure; Klippa includes managed services and support.