MinerU vs olmOCR

Short answer

MinerU: Document parser that converts PDFs, scans and Office files into clean Markdown or JSON for LLMs and RAG. olmOCR: Ai2's vision-language OCR that turns PDFs and scans into clean Markdown, including tables, equations and handwriting. Both are in our Document processing category.

Choose MinerU if you want: no GPU server needed, an actively maintained project (olmOCR is stale) and larger community (83.0k vs 19.8k GitHub stars).

Choose olmOCR if you want: fewer license conditions (Permissive vs Custom / conditional) and simpler deploy (one container vs a multi-container stack).

Last updated · computed from each project's official docs and live GitHub data · sources

MinerU vs olmOCR side by side

MinerUolmOCR
CategoryDocument processingDocument processing
What it isDocument parser that converts PDFs, scans and Office files into clean Markdown or JSON for LLMs and RAG.Ai2's vision-language OCR that turns PDFs and scans into clean Markdown, including tables, equations and handwriting.
LicenseMinerU Open Source License (Apache-2.0 with additional terms)Apache-2.0
License typeCustom / conditionalPermissive
License conditionsCommercial use is allowed without a separate license, unless you and your affiliates exceed 100 million monthly active users or USD 20 million monthly revenue. If you offer an online service to third parties based on MinerU, you must state prominently that it uses MinerU.Permissive. Internal and commercial use, modification and redistribution allowed; keep the license and notices.
StatusActiveStale (no commit in 180+ days)
GitHub stars83.0k19.8k
Last commitNov 3, 2026Mar 25, 2026
Latest releasemineru-4.1.5-releasedv0.4.27
Minimum hardware2 GB RAM30 GB disk
Recommended hardwareNot publishedNot published
RAM measured by usNot tested yetNot tested yet
GPUOptional. The basic tier runs ONNX models on CPU; the standard/advanced tiers work on CPU with 8 GB RAM (Vulkan recommended). PyTorch and vLLM/lmdeploy engines need a GPU with 8 GB+ VRAM and 16 GB RAM. The official Docker image targets NVIDIA GPUs only.Required for local inference: a recent NVIDIA GPU with at least 12 GB of GPU RAM (tested on RTX 4090, L40S, A100, H100). Without a GPU you can point it at a remote vLLM or OpenAI-compatible server.
Est. server costfrom €11.99/moGPU server (not estimated)
Deploy methodPython package (uv/pip) with web UI; Docker Compose for NVIDIA GPUsDocker (GPU image with model included)
Known gotchas4 listed3 listed
TelemetryOn by defaultNot documented
Calls home by defaultNot documentedNot documented
SSO (OIDC / SAML / LDAP)Not documentedNot documented
Audit logNot documentedNot documented
RBACNot documentedNot documented
DetailsFull MinerU guide →Full olmOCR guide →

Key differences

  • License: MinerU: MinerU Open Source License (Apache-2.0 with additional terms) (Custom / conditional). olmOCR: Apache-2.0 (Permissive).
  • Official hardware: MinerU: minimum 2 GB RAM. olmOCR: not published.
  • GPU: MinerU: optional / see notes. olmOCR: needed for practical use.
  • Est. server cost: MinerU: from €11.99/mo. olmOCR: GPU server (not estimated).
  • Deploy: MinerU: Python package (uv/pip) with web UI; Docker Compose for NVIDIA GPUs · multi-container stack. olmOCR: Docker (GPU image with model included) · single container.
  • Status: MinerU: Active. olmOCR: Stale (no commit in 180+ days).
  • GitHub stars: MinerU: 83.0k. olmOCR: 19.8k.
  • Last commit: MinerU: Nov 3, 2026. olmOCR: Mar 25, 2026.
  • Latest release: MinerU: mineru-4.1.5-released (Nov 3, 2026). olmOCR: v0.4.27 (Mar 12, 2026).

Same for both: Category: Document processing.

MinerU vs olmOCR: FAQ

MinerU or olmOCR: which should a small business choose?

Choose MinerU if you want: no GPU server needed, an actively maintained project (olmOCR is stale) and larger community (83.0k vs 19.8k GitHub stars). Choose olmOCR if you want: fewer license conditions (Permissive vs Custom / conditional) and simpler deploy (one container vs a multi-container stack).

Which is cheaper to self-host, MinerU or olmOCR?

MinerU: from €11.99/mo. olmOCR: GPU server (not estimated). Our estimate is the cheapest Hetzner Cloud plan that meets each project's official RAM and vCPU figure; it covers the server only.

How much hardware do MinerU and olmOCR need?

MinerU: minimum 2 GB RAM. olmOCR: not published. olmOCR needs a GPU for practical use.

What is the license difference between MinerU and olmOCR?

MinerU: MinerU Open Source License (Apache-2.0 with additional terms) (Custom / conditional). Commercial use is allowed without a separate license, unless you and your affiliates exceed 100 million monthly active users or USD 20 million monthly revenue. If you offer an online service to third parties based on MinerU, you must state prominently that it uses MinerU. olmOCR: Apache-2.0 (Permissive). Permissive. Internal and commercial use, modification and redistribution allowed; keep the license and notices. This is a summary, not legal advice.

Is MinerU or olmOCR more actively maintained?

MinerU: Active, last commit Nov 3, 2026. olmOCR: Stale (no commit in 180+ days), last commit Mar 25, 2026. GitHub data refreshed Nov 3, 2026.

Which is easier to deploy, MinerU or olmOCR?

MinerU installs via Python package (uv/pip) with web UI; Docker Compose for NVIDIA GPUs (multi-container stack); olmOCR via Docker (GPU image with model included) (single container). MinerU lists 4 known gotchas and olmOCR lists 3; see each app page.

Related

Sources

Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.