TypeLLM vs Klippa

Klippa's scope is business documents and identity: OCR and data extraction from invoices, receipts, purchase orders and IDs; document conversion and classification; anonymization and redaction; document verification with fraud detection; identity verification with liveness, NFC and selfie checks; proof of identity/income/age; a Human-In-The-Loop workflow builder; a prompt builder for AI extraction templates; plus OCR, document-verification and identity-verification APIs and SDKs, and a price-tag scanning SDK. It ships into accounting and ERP stacks — Exact Globe/Online, Multivers, AFAS, NetSuite, Microsoft Dynamics, Odoo, Informer, Twinfield, Visma, Asperion, SAP — and a separate SpendControl module covers expense reporting, authorization flows, CO2 registration, mileage/allowances and physical or virtual corporate cards. TypeLLM operates one level down, inside your model server. You define each output field as a JSON Schema entry with a type (string, integer, number, boolean, enum) and plain-English instructions; the extension constrains generation so values come back typed. Fields can generate in parallel or follow a depends_on dependency graph, enum choices come with permutation-invariant decision probabilities, thinking mode can be enabled per field, images can be passed alongside text, and 0.2.x adds a thread-shared client with per-call timeout/cancel/seed, fewer requests for mixed number/string fields, single-send input token counts, and a text_max_tokens default of 128. No overlap: Klippa consumes documents; TypeLLM constrains tokens.

Neither vendor publishes list pricing on this data — both are contact-sales, which means the real cost comparison is not apples-to-apples at all. Klippa is a commercial platform sale: expect a quote scoped by document volume, modules (extraction, verification, identity checks, SpendControl), API/SDK usage and ERP integration, and note its stated floor — organizations processing under 100 documents a month are told manual work is cheaper. Your cost of ownership is the subscription plus implementation and integration effort. TypeLLM is not a hosted SaaS you buy seats for; it is an extension for open autoregressive LLMs you serve yourself on SGLang, so your spend is GPU infrastructure, engineering time and the free 0.2.x library, and the stated benefit is minimal compute versus generating then parsing free text. If you have no GPU infrastructure and no appetite to run SGLang, TypeLLM has no purchase path for you regardless of price. Picking one on price alone is the wrong exercise: one is an operational document budget line, the other is an inference-stack line item. Get quotes only for the problem you actually have.