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⚙️ Skill Framework 技能框架 ★ 12k+ GitHub Stars document parsing ocr

Docling – Docling 文档理解

IBM's document parsing and understanding library

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Category分类
Skill Framework 技能框架
skill
GitHub StarsGitHub 星数
12k+
Community adoption社区认可度
License许可证
Open Source
Free to use 免费使用
Tags标签
document, parsing, ocr
4 tags total个标签

What Is Docling? Docling 是什么?

Docling is an open-source developer framework for building AI applications with 12k+ GitHub stars. IBM's document parsing and understanding library

As a developer framework for building AI applications, Docling is designed to help developers and teams build production-ready AI applications with reliable, tested abstractions. It handles the complexity of connecting LLMs to external data and tools, so engineers can focus on business logic instead of plumbing.

The project is maintained on GitHub at github.com/DS4SD/docling and is actively developed with a strong open-source community. With 12k+ stars, it is one of the most widely adopted tools in its category.

A well-regarded project with 12k+ stars, Docling has proven itself in production deployments. Worth trying if you need this capability without cloud API costs or data privacy concerns. The self-hosted version requires more setup than the managed alternative, but gives you full control over the deployment.

A well-regarded project with 12k+ stars, Docling has proven itself in production deployments. Worth trying if you need this capability without cloud API costs or data privacy concerns. The self-hosted version requires more setup than the managed alternative, but gives you full control over the deployment.

— AI Nav Editorial Team

Getting Started with Docling Docling 快速开始

Install Docling via pip and follow the official README for configuration examples. Most Python frameworks can be installed in one line: pip install docling

💡 Tip: Check the Releases page for the latest stable version and migration notes, and Discussions for community Q&A.

Key Features 核心功能

  • 🔓
    Open Source — MIT/Apache licensed—inspect, fork, modify, and self-host with no vendor lock-in.

Use Cases 应用场景

Docling is widely used across the AI development ecosystem. Here are the most common scenarios:

🏗️ LLM Application Development

Build production-grade apps powered by language models with structured pipelines, retry logic, and observability.

📚 RAG & Knowledge Systems

Create document Q&A and knowledge base systems that ground LLM responses in proprietary data.

🤖 Agent Orchestration

Compose multi-step AI workflows where models plan, use tools, and iterate autonomously toward goals.

🔌 Model Provider Abstraction

Write once, run with any LLM provider—switch between OpenAI, Anthropic, and local models without code changes.

Similar Skill Frameworks 相似 技能框架

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Frequently Asked Questions 常见问题

What languages does Docling support?
Docling primarily targets Python, with many frameworks also providing JavaScript/TypeScript SDKs. Check the GitHub repository for the full list of supported languages and official client libraries.
Is Docling production-ready?
Yes. Docling is used in production by thousands of engineering teams globally. The project has a stable API, comprehensive test suite, and an active maintainer team that releases regular security and bug-fix patches.
How do I install and get started with Docling?
Install via pip: `pip install docling` (Python) or `npm install docling` (Node.js). The GitHub repository README contains a quickstart guide with working code examples. Most frameworks have active community support on Discord or GitHub Discussions.
Does Docling work with local LLMs like Ollama?
Most modern AI frameworks support local LLM backends via Ollama's OpenAI-compatible API at http://localhost:11434/v1. Set the `base_url` parameter to your local endpoint to run entirely offline without any cloud API costs.