Granite Vision 4.1 4B is a compact vision-language model built specifically for structured document extraction. If you have ever had to manually copy data from a scanned report, a chart in a PDF, or a table in a presentation slide, this model does that work for you. It reads the document image and returns the information as clean, structured text. The model handles three distinct extraction tasks: chart reading, table parsing, and label-value pair detection. Upload a financial report and it pulls tabular data row by row. Show it a bar chart and it returns the underlying numbers. Point it at an invoice and it pulls the field names alongside their values, ready to paste directly into a spreadsheet. This fits naturally into workflows where documents arrive as images or scanned files. Researchers, analysts, and content operators can skip manual re-entry and get structured output in seconds. Run it on Picasso IA to see how it handles your documents without any setup.
Granite Vision 4.1 4B is a vision-language model built to extract structured data from complex documents without any manual copying or reformatting. If you've spent time retyping tables out of PDFs, squinting at chart axes to read off numbers, or piecing together key-value pairs from scanned invoices, this model handles that work in seconds. On Picasso IA, the process takes three steps: upload the document image, describe what you need, and read the result. At 4 billion parameters, it's compact enough to return answers quickly while holding its accuracy on the document types it was specifically built for, including charts, tables, and structured forms.
Do I need programming skills or technical knowledge to use this? No, just open Granite Vision 4.1 4B on Picasso IA, adjust the settings you want, and hit generate.
Is it free to try? Yes, you can run the model on Picasso IA without a paid subscription to test it on your own documents first.
How long does it take to get results? Most extractions complete in a few seconds. The 4 billion parameter size was chosen partly for speed, so you're not waiting long even on detailed documents.
What types of documents does it handle well? It performs reliably on printed data tables, financial charts, invoices, structured forms, and any image where the information is organized in a consistent layout. Heavily degraded scans or densely handwritten pages may reduce accuracy.
Can I control what format the output comes in? Yes. Specify the format in your system prompt or in the prompt itself. Ask for JSON, numbered rows, plain labeled text, or any other structure and the model will follow those instructions consistently.
How many times can I run the model? You can run as many extractions as you need. Each request is processed independently, so you can try different prompts on the same document until the output matches what you're looking for.
Where can I use what the model returns? The text output is plain and ready to paste into any tool, from a spreadsheet to a project management app. There are no watermarks or format restrictions on what the model generates.
Everything this model can do for you
Runs fast without the hardware demands of full-scale VLMs, making it practical for everyday document work.
Reads bar charts, pie charts, and line graphs and returns the underlying data as plain text.
Converts tables in scanned documents or images into clean row-and-column structured output.
Identifies field names and their associated values in forms, invoices, and reports.
Accepts both an image and a text prompt, so you can ask specific questions about a document.
Returns output as it generates, so you see results arrive progressively rather than waiting for the full response.
Set a token limit to get concise summaries or full detailed extractions depending on your need.
Set a seed value to get the same output when you re-run a document through the model.
