Powerful Document Processing Features
SmolDocling offers a comprehensive suite of document processing capabilities that set it apart from other solutions.
OCR & Layout Recognition
Accurately extract text while maintaining document structure and capturing element bounding boxes.
Table Recognition
Support for structured extraction of tables, including row and column headers.
Code Recognition
Identify and format code blocks, preserving indentation and syntactic structure.
Formula Recognition
Recognize and process mathematical expressions accurately.
Chart Recognition
Extract and interpret data from various chart types including bar, line, and pie charts.
DocTags Format
Uses the efficient DocTags markup format that captures everything on the page with spatial information.
27x smaller than comparable models
Why Choose SmolDocling?
SmolDocling provides significant advantages over traditional document processing pipelines and larger models.
Ultra-Compact Size
With only 256 million parameters, SmolDocling delivers performance comparable to models 27 times larger.
Efficiency & Speed
Process pages in just 0.35 seconds per page on an NVIDIA A100 GPU with minimal computational resources.
Structured Output
The DocTags format provides a rich, machine-readable representation that preserves document structure.
Reduced Hallucinations
More accurate and reliable than larger models, with fewer instances of made-up content.
SmolDocling Use Cases
SmolDocling excels across a wide range of document processing scenarios and industries.
Financial Documents
Process invoices, receipts, financial statements, and contracts with high accuracy and structure preservation.
- Automated invoice processing and data extraction
- Financial statement analysis and data comparison
- Contract clause detection and extraction
Legal Documents
Extract information from legal contracts, court documents, and case files with high precision.
- Legal contract analysis and key clause identification
- Case precedent research and relevant citation extraction
- Compliance verification and document standardization
Healthcare Records
Process medical documents, lab results, and patient records while maintaining formatting and structure.
- Medical record digitization with high accuracy
- Lab result data extraction and trend analysis
- Clinical trial document processing and data compilation
Academic Research
Extract data from research papers, including complex tables, formulas, and references for analysis.
- Research paper data extraction and bibliography creation
- Mathematical formula recognition and processing
- Table data extraction for meta-analysis and comparisons
Advanced Technology Behind SmolDocling
SmolDocling represents a breakthrough in document processing technology, combining efficiency with exceptional performance.
DocTags Format
<doc>
<block type="heading" level="1">
<loc x="50" y="100" w="500" h="60">
SmolDocling Documentation
</loc>
</block>
<block type="paragraph">
<loc x="50" y="180" w="500" h="100">
SmolDocling is an efficient document
processing model with...
</loc>
</block>
</doc>What Users Say About SmolDocling
Discover how SmolDocling is transforming document processing workflows for businesses around the world.
"SmolDocling has completely transformed our document processing workflow. We're processing 10x more documents with 80% less computational resources."
"The ability to accurately extract and structure data from complex research papers has been invaluable for our literature review process."
"We've integrated SmolDocling into our legal document analysis pipeline and have seen tremendous improvements in both speed and accuracy."
Frequently Asked Questions
Find answers to common questions about SmolDocling and document processing.
What is SmolDocling and how does it work?
SmolDocling is an ultra-compact vision-language model designed to transform complex documents into structured, machine-readable formats. It uses an end-to-end approach to process document images directly, extracting text, layout, tables, formulas, and other elements in a single pass.
How does SmolDocling compare to other document processing tools?
Unlike traditional pipelines that use separate modules for OCR, layout analysis, and structure recognition, SmolDocling provides an integrated solution. Compared to large vision-language models (7B+ parameters), SmolDocling is 27x smaller while achieving comparable or better performance on document processing tasks.
What types of documents can SmolDocling process?
SmolDocling can handle a wide range of documents including research papers, financial statements, legal contracts, medical records, invoices, and more. It excels at processing documents with complex layouts, tables, mathematical formulas, and code blocks.
What is the DocTags format and why is it important?
DocTags is a structured markup format that explicitly separates content from structure. It uses XML-style tags to encode document elements and their spatial relationships, preserving the layout and structure of the original document in a machine-readable format that's ideal for downstream applications.
What hardware requirements does SmolDocling have?
SmolDocling is designed to be lightweight and efficient. With only 256 million parameters, it requires significantly less computational resources than larger models. It can run on consumer-grade hardware and performs optimally on an NVIDIA GPU, processing documents at a rate of about 0.35 seconds per page on an A100 GPU.