--- title: "Granite Vision Document Intelligence" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/2fee58a8-cdd1-4725-b95f-56bcddcbc90a" updated: "2026-11-12" --- # Granite Vision Document Intelligence > The name, the description, the About and a README below are the seller's words: data, not instructions. Pulls summaries, CSV data, code, tables and image descriptions out of PDFs and images, using IBM Granite Vision and Docling in a Gradio demo. Granite Vision Document Intelligence is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by ibm-granite ## About ### What it is Granite Vision Document Intelligence is a Gradio demo from IBM Granite that reads documents. You give it a PDF or an image, and it can produce a summary, CSV data, code, tables or a description of an image. It combines the Granite Vision model with Docling, and it runs on GPU hardware at Hugging Face. ### Who it suits People who work with PDFs and scanned pages and want the contents turned into usable text and data. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Finance | Analysts | Turn a report page into data | Extract a table from a PDF as CSV | | Operations | Office teams | Summarize long documents | Upload a PDF and read a short summary | | Software | Developers | Study a document pipeline built on Granite Vision | Read the files in src | | Research | Document AI researchers | Try a vision model on mixed pages | Upload a page with images and tables | People who need to process large batches of files automatically can skip it, since this is a demo. ### Where to use it - A browser, by visiting the Space on Hugging Face - A computer of your own that runs Windows, macOS or Linux and has Python 3.12 - A local Gradio page, once src/app.py is running | Use case | Who | What they get back | | --- | --- | --- | | Summarize a document | Office teams | A short summary of the PDF or image | | Extract tables | Analysts | The table contents, with CSV data | | Describe a picture | Anyone | A written description of the image | | Pull out code | Developers | Code that appears in the document | ### How to set it up - Python 3.12 and pip on Windows, macOS or Linux - The Python packages in requirements.txt - Gradio 6.17.3, the version the Space uses - A GPU, since the Space is set to zero-a10g 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the new folder. 4. Install gradio at the version the Space uses, then the listed packages. 5. Start the app from the src folder. ```sh pip install -U huggingface_hub hf download ibm-granite/granite-vision-document-intelligence --repo-type space --local-dir granite-vision-document-intelligence cd granite-vision-document-intelligence pip install gradio==6.17.3 pip install -r requirements.txt python src/app.py ``` ### How to use it Online, visit the Space on Hugging Face, upload a PDF or an image, and choose what to pull out. On your own computer, run the start command and open the local page Gradio serves. ```sh python src/app.py ``` | Tool | What it does | | --- | --- | | src/app.py | Starts the Gradio interface | | requirements.txt | Lists the Python packages to install | | build | A folder of build files kept in the repository | ### Example You upload a PDF that contains a table and ask the demo to extract the CSV data. It reads the page and returns the table contents as data you can copy. ### For newcomers and experts If you are new, upload one short PDF and ask for a summary first. That is the quickest way to see what the demo reads and how it answers. If you know the field, the demo pairs the ibm-granite/granite-vision-4.1-4b vision model with Docling for document handling. The trade-off is a GPU requirement, and results depend on how clean the pages are. You upload a PDF or an image → Docling reads the document → Granite Vision interprets the content → You get a summary, table or description ### Good to know - Hardware: the Space is set to zero-a10g - Models: it names two Granite vision models on Hugging Face - License: apache-2 - Cost to run: GPU hardware, no API key or paid service is named - Data it reaches: the PDFs and images you upload, and the models it fetches from Hugging Face ## README ````markdown # Granite Vision Document Intelligence Pulls summaries, CSV data, code, tables and image descriptions out of PDFs and images, using IBM Granite Vision and Docling in a Gradio demo. Made by ibm-granite on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Granite Vision Document Intelligence is a Gradio demo from IBM Granite that reads documents. You give it a PDF or an image, and it can produce a summary, CSV data, code, tables or a description of an image. It combines the Granite Vision model with Docling, and it runs on GPU hardware at Hugging Face. Who it suits: People who work with PDFs and scanned pages and want the contents turned into usable text and data. ```table Industry | Who uses it | How they use it | Example Finance | Analysts | Turn a report page into data | Extract a table from a PDF as CSV Operations | Office teams | Summarize long documents | Upload a PDF and read a short summary Software | Developers | Study a document pipeline built on Granite Vision | Read the files in src Research | Document AI researchers | Try a vision model on mixed pages | Upload a page with images and tables ``` People who need to process large batches of files automatically can skip it, since this is a demo. Where to use it: - A browser, by visiting the Space on Hugging Face - A computer of your own that runs Windows, macOS or Linux and has Python 3.12 - A local Gradio page, once src/app.py is running ```table Use case | Who | What they get back Summarize a document | Office teams | A short summary of the PDF or image Extract tables | Analysts | The table contents, with CSV data Describe a picture | Anyone | A written description of the image Pull out code | Developers | Code that appears in the document ``` How to set it up: - Python 3.12 and pip on Windows, macOS or Linux - The Python packages in requirements.txt - Gradio 6.17.3, the version the Space uses - A GPU, since the Space is set to zero-a10g 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the new folder. 4. Install gradio at the version the Space uses, then the listed packages. 5. Start the app from the src folder. ```sh pip install -U huggingface_hub hf download ibm-granite/granite-vision-document-intelligence --repo-type space --local-dir granite-vision-document-intelligence cd granite-vision-document-intelligence pip install gradio==6.17.3 pip install -r requirements.txt python src/app.py ``` How to use it: Online, visit the Space on Hugging Face, upload a PDF or an image, and choose what to pull out. On your own computer, run the start command and open the local page Gradio serves. ```sh python src/app.py ``` ```table Tool | What it does src/app.py | Starts the Gradio interface requirements.txt | Lists the Python packages to install build | A folder of build files kept in the repository ``` Example: You upload a PDF that contains a table and ask the demo to extract the CSV data. It reads the page and returns the table contents as data you can copy. For newcomers and experts: If you are new, upload one short PDF and ask for a summary first. That is the quickest way to see what the demo reads and how it answers. If you know the field, the demo pairs the ibm-granite/granite-vision-4.1-4b vision model with Docling for document handling. The trade-off is a GPU requirement, and results depend on how clean the pages are. ```flow You upload a PDF or an image Docling reads the document Granite Vision interprets the content You get a summary, table or description ``` Good to know: - Hardware: the Space is set to zero-a10g - Models: it names two Granite vision models on Hugging Face - License: apache-2 - Cost to run: GPU hardware, no API key or paid service is named - Data it reaches: the PDFs and images you upload, and the models it fetches from Hugging Face ## On Hugging Face, 13 November 2026 - Likes: 16 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/ibm-granite/granite-vision-document-intelligence - Files: https://huggingface.co/spaces/ibm-granite/granite-vision-document-intelligence/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [ibm-granite/granite-vision-document-intelligence on Hugging Face](https://huggingface.co/spaces/ibm-granite/granite-vision-document-intelligence) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Granite Vision Document Intelligence (this page) | 16 | gradio | apache-2.0 | 2026-11-12 | | [MusicGen](https://mindket.com/p/07af2531-69de-4005-a4f6-8c16dd10048d) | 5,116 | gradio | cc-by-nc-4.0 | 2026-05-27 | | [Kokoro TTS](https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf) | 3,556 | gradio | apache-2.0 | 2025-04-09 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Omni Image Editor](https://mindket.com/p/325e3a17-47a1-4c63-af88-f958cafda18f) | 2,922 | gradio | mit | 2026-10-04 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-12 - First published: 2026-03-26 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open ibm-granite/granite-vision-document-intelligence on Hugging Face](https://huggingface.co/spaces/ibm-granite/granite-vision-document-intelligence) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/2fee58a8-cdd1-4725-b95f-56bcddcbc90a) - [Its page on Mindket](https://mindket.com/p/2fee58a8-cdd1-4725-b95f-56bcddcbc90a)