Granite 4.0 3B Vision: Compact Multimodal Intelligence for Enterprise Documents

Granite 4.0 3B Vision: Compact Multimodal Intelligence for Enterprise Documents Granite 4.0 3B Vision: Compact Multimodal Intelligence for Enterprise Documents Enterprise Article Published March 31, 2026 Upvote 35 Madison Lee kristunlee ibm-granite Rogerio Feris rferis ibm-granite Eli Schwartz elischwartz ibm-granite Dhiraj Joshi dhirajjoshi116 ibm-granite Pengyuan Li pengyuan ibm-granite Isaac Sanchez sanchy-ibm ibm-granite Today we're excited to announce Granite 4.0 3B Vision , a compact vision-language model (VLM) designed for enterprise document understanding. It’s purpose-built for reliable information extraction from complex documents, forms, and structured visuals.

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• Granite 4.0 3B Vision: Compact Multimodal Intelligence for Enterprise Documents Enterprise Article Published March 31, 2026 Upvote 35 Madison Lee kristunlee ibm-granite Rogerio Feris rferis ibm-granite Eli Schwartz elischwartz ibm-granite Dhiraj Joshi dhirajjoshi116 ibm-granite Pengyuan Li pengyuan ibm-granite Isaac Sanchez sanchy-ibm ibm-granite Today we're excited to announce Granite 4.0 3B Vision , a compact vision-language model (VLM) designed for enterprise document understanding.
• It’s purpose-built for reliable information extraction from complex documents, forms, and structured visuals.
• Granite 4.0 3B Vision excels on the following capabilities: Table Extraction : Accurately parsing complex table structures (e.g., multi-row, multi-column, etc.) from document images Chart Understanding : Converting charts and figures into structured machine-readable formats, summaries, or executable code Semantic Key-Value Pair (KVP) Extraction : Identifying and grounding semantically meaningful key-value field pairs across diverse document layouts The model ships as a LoRA adapter on top of Granite 4.0 Micro , our dense language model, keeping vision and language modular for text-only fallbacks and seamless integration into mixed pipelines.
• It continues to support vision-language tasks such as producing detailed natural-language descriptions from images (e.g., “Describe this image in detail”).
• The model can be used standalone or in tandem with Docling to enhance document processing pipelines with deep visual understanding capabilities.
• How Granite 4.0 3B Vision Was Built Granite 4.0 3B Vision’s performance is the result of three key investments: A purpose-built chart understanding dataset constructed via a novel code-guided data augmentation approach, a novel variant of the DeepStack architecture that enables high-detail visual feature injection, and a modular design that keeps the model practical for enterprise deployment.