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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