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

DevFeed: [Granite 4.0 3B Vision: Compact Multimodal Intelligence for Enterprise Documents](<https://devfeed.tech/articles/granite-4-0-3b-vision-compact-multimodal-intelligence-for-enterprise-documents-7259.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/ibm-granite/granite-4-vision>)

Author: Madison Lee; Rogerio Feris; Eli Schwartz; Dhiraj Joshi; Pengyuan Li; Isaac Sanchez

Published: 2026-03-31T15:10:41Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [multimodal](<https://devfeed.tech/topics/multimodal.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [synthetic-data](<https://devfeed.tech/topics/synthetic-data.md>), [lora](<https://devfeed.tech/topics/lora.md>), [Language models](<https://devfeed.tech/topics/language-models.md>), [enterprise deployment](<https://devfeed.tech/topics/enterprise-deployment.md>)

Tags: [code](<https://devfeed.tech/tags/code.md>), [data](<https://devfeed.tech/tags/data.md>), [data-augmentation](<https://devfeed.tech/tags/data-augmentation.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [enterprise-deployment](<https://devfeed.tech/tags/enterprise-deployment.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [lora](<https://devfeed.tech/tags/lora.md>), [model](<https://devfeed.tech/tags/model.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [training](<https://devfeed.tech/tags/training.md>), [vision](<https://devfeed.tech/tags/vision.md>)

## AI overview

Granite 4.0 3B Vision is a compact multimodal model for enterprise document understanding. It extracts tables, interprets charts, and identifies semantic key-value pairs, using a LoRA adapter, visual-language capabilities, and the ChartNet dataset to support structured chart reasoning and document-processing pipelines.

## Source excerpt

- 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...