# Document Information Extraction

Vintern-1B-v3.5 is a multimodal large language model fine-tuned based on InternVL2.5-1B, specializing in Vietnamese text processing, excelling in OCR and understanding Vietnamese-specific documents.

A Table Transformer model trained on the PubTables1M dataset for extracting table structures from unstructured documents

This model is a fine-tuned version based on microsoft/layoutlmv2-base-uncased, specializing in document information extraction tasks, excelling in extracting fields such as Aadhaar card numbers, date of birth, gender, and names.

A document understanding model fine-tuned on the SROIE dataset based on Microsoft's LayoutLMv3-base model, excelling in extracting structured information from scanned documents

A document information extraction model fine-tuned on the SROIE dataset based on the LayoutLMv2 architecture, excelling at extracting key fields from receipt documents