PaddleOCR vs GLM-OCR
Document OCR and structure extraction compared
PaddleOCR and GLM-OCR turn images and PDFs into recognized text and structured results such as Markdown and JSON. PaddleOCR offers a broad set of OCR and document-understanding pipelines, while GLM-OCR centers on a multimodal model and SDK with hosted or self-hosted inference options.
PaddleOCR: Extract Text and Structure from Images and PDFs
PaddleOCR is a Python toolkit for recognizing text and parsing document layouts in images and PDFs. It suits developers building OCR, document-processing, and retrieval workflows who need structured output and multilingual recognition.
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.
| PaddleOCR | GLM-OCR | |
|---|---|---|
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 90.6k | 7.5k |
| Forks | 11.4k | 669 |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- PaddleOCR covers general text recognition, document parsing, translation, and information extraction; GLM-OCR focuses on extracting text and layout from complex documents.
- PaddleOCR states support for more than 100 languages; GLM-OCR's provided details emphasize layout analysis and parallel recognition for structured pages.
- PaddleOCR offers multiple model families and deployment options including ONNX Runtime and OpenVINO; GLM-OCR offers hosted MaaS access and self-hosting with vLLM or SGLang, with guides for Ollama and Apple Silicon.
- PaddleOCR lists Apache-2.0 licensing; GLM-OCR lists Apache-2.0 for repository code and describes different licenses for its model and integrated PP-DocLayoutV3 component.
- PaddleOCR has 90.6k stars and 11.4k forks; GLM-OCR has 7.5k stars and 669 forks.
Choose PaddleOCR if you…
- need multilingual OCR or a choice of OCR and document-parsing pipelines.
- want to extract document structure such as tables, formulas, and charts into Markdown or JSON.
- plan to evaluate deployment options including ONNX Runtime or OpenVINO.
Choose GLM-OCR if you…
- want a Python SDK or CLI for extracting text and layout from images and PDFs.
- prefer hosted API access without a local GPU, or self-hosting with supported inference servers.
- need layout-aware processing for structured pages and a Flask service or modular components for custom pipelines.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.