Marker OCR: Powerful Document Intelligence Tool
I recently tried the OCR from datalab.to and was impressed by its speed. Let me share this amazing tool with you! 😍
What is Marker?
Marker is an advanced OCR (Optical Character Recognition) tool that can convert documents into various formats including PDF, images, PPTX, DOCX, XLSX, HTML, and EPUB.
The best part? It fully supports Thai language along with many other languages.
Key Features
✅ Multi-Format Support
Marker can process documents in multiple formats and convert them to:
- Markdown
- JSON
- HTML
✅ Advanced Structure Recognition
The tool excels at capturing detailed document structures including:
- Tables
- Forms
- Mathematical equations
- Links
- Code blocks
- And much more
✅ Image Extraction & Cleanup
Marker can:
- Extract images from documents
- Handle headers and footers
- Remove noise and unwanted elements
✅ Performance & Compatibility
- Works on CPU, GPU, or Apple MPS
- Self-hosted for privacy and security
- Extremely fast processing
✅ Hybrid Mode with LLM
The standout feature is the Hybrid mode that uses Large Language Models to improve accuracy, especially for complex tasks like:
- Merging tables across multiple pages
- Converting complex mathematical equations
✅ LLM Integration
Compatible with various LLMs including:
- Gemini
- Ollama
- And works seamlessly with other AI models
✅ Impressive Speed
Marker delivers outstanding performance with up to 122 pages per second on GPU H100!
About DataLab
DataLab.to is the creator of this document intelligence platform. They believe that the future of AI depends on accessing high-quality, diverse data. However, most valuable data is still locked in hard-to-read formats like PDFs.
DataLab is committed to building systems that don't compromise on quality, transparency, and security.
Who Should Use Marker?
If you work with documents in multiple formats or need OCR that:
- Supports Thai language
- Is fast and accurate
- Can be self-hosted for privacy
- Handles complex document structures
Then Marker is definitely worth trying!
Getting Started
You can find Marker on GitHub: VikParuchuri/marker
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