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PrivateGPT vs Nanonets

PrivateGPTNanonets
PrivateGPTPrivateGPT

Ask questions about your documents, fully offline.

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NanonetsNanonets

AI agents and document models that turn unstructured documents into structured data

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Votes00
PricingFreeFreemium
CategoryDocument AiDocument Ai
Tags
practical-ossopen-sourceself-hostedrag
document-aiidpocrdata-extractionai-agentsworkflow-automation
Best for—
  • Finance and operations teams automating document-heavy workflows
  • Enterprises needing on-prem or compliant deployments
  • Teams wanting high-accuracy extraction plus end-to-end agents
Pros
  • Keeps data private and local by running on your own OpenAI-compatible inference server
  • Provides ready-made building blocks (messages API, RAG with citations, tools, embeddings, MCP) so you don't rebuild backends from scratch
  • Works with many inference backends (Ollama, llama.cpp, vLLM) rather than locking you to one
  • Includes a polished workbench UI for testing document upload, retrieval and tools
  • Permissive Apache-2.0 license
  • Proprietary OCR-3 model ranks highly on public IDP extraction benchmarks
  • Usage-based pricing means no seat licenses or platform fees
  • Free tier with $50 credits and no card required to start
  • Strong enterprise controls: SSO/SCIM, RBAC, audit logs, on-prem/VPC deployment
  • Broad library of ERP, accounting, storage, and LLM integrations
Cons
  • It does not run models itself; you must separately set up and run a local LLM server
  • The project has been repositioned as an API layer, so it is now developer-oriented rather than a simple end-user app
  • Some advanced capabilities are partial or unsupported (for example prompt caching and OAuth/organizations are listed as not supported)
  • Full production/enterprise deployment is largely pushed toward the separate commercial Zylon product
  • Per-block usage pricing can be hard to predict at scale
  • Key features (classification, ERP connectors, compliance) are gated to paid tiers
  • Growth and Enterprise pricing is quote-only, not published
  • Starter plan caps at 3 users
  • Breadth of features can mean a learning curve for simple extraction-only needs

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