SmolDocling has a professional composite document processing capabilities, can accurately identify and convert six categories of document elements: first in OCR text extraction support for the recognition of 187 languages; its layout recognition engine can restore the original layout structure of the document; for the unique code block of the technical documents can be retained with complete indentation and syntax markup; complex LaTeX mathematical formula can be converted to MathML standardized format; chart processing using vector parsing technology to extract data points; table recognition through adaptive algorithms to maintain the row-column relationship. MathML standardized format; in the chart processing using vector parsing technology to extract data points; table recognition through adaptive algorithms to maintain row-column relationships. These functions are integrated into a unified processing flow that outputs structured results through the patented DocTags markup language.
Technical tests show that the model processes A4-size documents in an average time of 3.2 seconds (GPU environment), and the recognition accuracy reaches the 90% level of professional document processing software. Especially in code recognition scenarios, its ability to retain format integrity exceeds that of traditional OCR tools by more than 40%. This multimodal processing capability makes it the preferred solution for digitizing technical documents.
This answer comes from the articleSmolDocling: a visual language model for efficient document processing in a small volumeThe
