SmolDocling
New
 Next-Generation Document Processing

SmolDocling:Transform Complex Documents

SmolDocling is a multimodal Image-Text-to-Text model designed for efficient document conversion. It retains Docling's most popular features while ensuring full compatibility with Docling through seamless support for DoclingDocuments.

Features

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.
256M

27x smaller than comparable models

SmolDocling

Why choose the SmolDocling OCR AI Tool?

SmolDocling beats standard document processing and bigger models in several ways.

Tiny Footprint

Even with a mere 256 million parameters, SmolDocling performs like models that are 27 times bigger.

Quick & Nimble

Process a page in only 0.35 seconds using an NVIDIA A100 GPU and small amounts of resources.

Organized Output

The DocTags format provides a clear, machine-friendly format that keeps the document's structure.

Fewer Fabrications

More precise and dependable than larger models, with fewer incidents of fabricated information.

Applications

SmolDocling Use Cases

SmolDocling performs well in various document processing situations and sectors.

Financial Sector Documents

Handle invoices, receipts, financial reports, and agreements with great precision, keeping the original formatting.

  • Automatic invoice handling and data gathering
  • Financial report examination and data assessment
  • Agreement part recognition and extraction

Legal Sector Documents

Pull out data from legal agreements, court files, and case documents with high accuracy.

  • Legal agreement analysis and key part identification
  • Case law investigation and relevant citation retrieval
  • Compliance checking and document standardization

Healthcare Records

Process medical documents, lab findings, and patient records while retaining formatting and layout.

  • Medical record digitalization with high precision
  • Lab result data retrieval and trend evaluation
  • Clinical trial document handling and data collection

Academic Research

Get data from research papers, including complex tables, formulas, and references for review.

  • Research paper data retrieval and reference list creation
  • Math formula recognition and processing
  • Table data gathering for meta-analysis and comparisons

Innovative Technology

Innovative Technology Driving SmolDocling

SmolDocling is a leap forward in document processing, skillfully merging efficiency with superior performance.

Model Size
256M
vs. Large Vision-Language Models (7B+ parameters)
Processing Speed
0.35s
vs. Traditional Multi-Stage Pipelines

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>

User Reviews

What Users Are Saying About SmolDocling

Find out how SmolDocling is revolutionizing document handling processes for companies globally.

"SmolDocling has utterly revolutionized how we handle documents. We're now processing ten times the documents, using eighty percent fewer computing resources. "
SV

John Doe

Financial Tech Solutions

"Effectively extracting and organizing data from intricate research papers has greatly aided our literature review."
SV

Sophia Collins

Academic Research Institute

"Lorem ipsum dolor sit amet,exercitation. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur."
SV

Adam Johnson

Legal Analytics Partners

FAQS

Frequently Asked Questions

Ready to Transform YourDocument Processing?

Begin with SmolDocling right now and see how well it works for extracting and converting documents efficiently.