docling vs GLM-OCR
Document parsing and OCR projects compared
docling and GLM-OCR both turn documents into structured content for downstream applications. docling offers a broad conversion library for many formats, while GLM-OCR focuses on OCR for images and PDFs with hosted or self-hosted inference options.
docling: Parse Documents for AI Workflows
Docling converts documents from formats such as PDF, Office files, images, and audio into structured representations and exports. It suits developers building document-processing and generative AI pipelines that need format coverage, OCR, or local execution.
GLM-OCR: Recognize Text and Structure in Documents
GLM-OCR is a multimodal OCR model and SDK for extracting text and layout from complex documents. Use it through a hosted API or deploy the pipeline with supported inference servers for local control.
| docling | GLM-OCR | |
|---|---|---|
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Stars | 68.3k | 7.5k |
| Forks | 5k | 669 |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- docling handles PDFs, office files, images, audio, video, email, EPUB, and more; GLM-OCR processes images and PDFs.
- docling provides a unified document representation and exports such as Markdown, HTML, and JSON; GLM-OCR returns Markdown and JSON layout details using layout detection and parallel recognition.
- docling can run locally and offers a CLI, Python API, MCP server, and API server; GLM-OCR offers hosted MaaS access or self-hosting with inference servers such as vLLM and SGLang.
- docling is MIT-licensed; GLM-OCR's repository code is Apache-2.0, with separate stated licenses for its model and an integrated component.
- docling reports 68.3k stars and 5k forks, compared with GLM-OCR's 7.5k stars and 669 forks.
Choose docling if you…
- need conversion across a wide range of document and media formats.
- want a unified document representation and multiple export formats for ingestion pipelines.
- need local processing or integrations with frameworks such as LangChain, LlamaIndex, CrewAI, or Haystack.
Choose GLM-OCR if you…
- need OCR for images and PDFs that preserves layout details such as tables and formulas.
- want a choice between hosted OCR access and self-hosted inference.
- need a CLI or Python SDK, or modular components for a custom OCR pipeline.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.