Models/MiniCPM-OCR 1.0

Text / OpenBMB · ModelBest

MiniCPM-OCR 1.0

A 1.3B document OCR model from the MiniCPM-V family for English and Chinese scans, photos and PDFs: text, tables, formulas, charts, seals and key fields.

Verified sourceReleased Oct 27, 2026Source checked 11/9/2026

LOCALRENTED GPUOPEN WEIGHTS

Freshness 93 out of 100. Release age: 18 days old, Oct 27, 2026. Measures age, not quality.

Popularity 70 out of 100. 143,265 downloads in 30 days; 457 lifetime likes. Checked Nov 13, 2026. Measures adoption, not quality.

What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source

Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source

Scores as of Nov 14, 2026. Statistics checked Nov 13, 2026. Statistics are marked for refresh after 72 hours.Full scoring method

WORKFLOWS FOR THIS MODEL 2

What do you want to do?

Choose a task. Get the software, files, settings, and steps to run it.

MAKE IT PERSONALChoose your hardware

Image understanding

Convert PDFs to Markdown locally with MiniCPM-OCR 1.0

Run OpenBMB’s MiniCPM-OCR SDK with a local llama.cpp server to turn a whole PDF into Markdown in reading order, with tables and formulas, on Windows, Mac or Linux.

Freshness 93 out of 100. Release age: 18 days old, Oct 27, 2026. Measures age, not quality.

llama.cppMiniCPM-OCR SDK

2 packagesmacOS / Windows / Linux

Open vision guide

Image understanding

Extract text from documents locally with MiniCPM-OCR 1.0

Run OpenBMB’s 1.3B MiniCPM-OCR 1.0 with Ollama on Windows, Mac or Linux, extract a document page image to a text file, and check it against the original.

Freshness 93 out of 100. Release age: 18 days old, Oct 27, 2026. Measures age, not quality.

Ollama

3 packagesmacOS / Windows / Linux

Open vision guide

Open a guide for its software, hardware requirements, and setup steps.

At a glance

Parameters: 1.3B
License: Apache 2.0
Software: Ollama, llama.cpp, vLLM, SGLang

MY HARDWARE

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Best for

Turn a scanned or photographed page into text on your own computer.
Extract tables and formulas from documents (via the SDK for full PDFs).

Tradeoffs

Trained for English and Chinese documents.
Whole-PDF parsing uses OpenBMB’s SDK plus a separate layout model (covered in its own guide).
Publisher benchmarks only; check output on your own documents.

Ways to run it

Ollama · Windows, macOS, Linux

OpenBMB’s official package.

ollama run openbmb/minicpm-ocr1.0 "Text Recognition: ./page.png"

Official instructions

minicpm-ocr SDK + vLLM · Linux GPU

Whole-PDF parsing to Markdown or JSON.

Official instructions

What to expect

Start with the Q4_K_M Ollama package for single pages; use the SDK when you need whole PDFs with layout.

Explore its uses

OCRDOCUMENT PARSINGVISIONOLLAMAGGUF

REFERENCE LIBRARY

Sources and files

Primary sources and files behind this model page.

3 SOURCES

01Model cardhuggingface.co 02GitHubgithub.com 03Ollama packageollama.com

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