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Marker vs Nanonets

MarkerNanonets

Convert PDFs and documents to clean Markdown.

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

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Votes00
PricingFreemiumFreemium
CategoryDocument AiDocument Ai
Tags
practical-ossopen-sourcedocument-airag
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
  • Handles many input formats (PDF, images, DOCX, PPTX, XLSX, HTML, EPUB) and outputs Markdown, JSON, HTML, or chunks sized for RAG
  • Preserves structure: tables, equations as LaTeX, code blocks, reading order, and image extraction, with headers/footers removed
  • Selective OCR keeps it fast by only invoking the vision model on bad or scanned pages, with a CPU-only no-OCR path available
  • Optional --use_llm hybrid mode works with Gemini, Claude, OpenAI-compatible, Azure, Vertex, OpenRouter, or local Ollama models
  • Apache-2.0 code with CLI, Python API, batch processing, and a simple API server
  • 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
  • Model weights are not freely commercial: a modified OpenRAIL-M license caps free use at under $5M funding/revenue and requires paid licensing above that
  • Best accuracy needs a GPU plus a local inference server (vLLM via Docker, or llama.cpp on CPU/Apple Silicon), adding setup
  • Very complex layouts with nested tables and forms may still convert poorly
  • The built-in API server is explicitly basic and not intended for large-scale production use
  • 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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