Docling IBM Models

Open-weight IBM Research models that power Docling's understanding pipeline — DocLayout (layout detection and reading order), TableFormer (table structure), code- and formula-recognition heads, picture classifier, and GraniteDocling-258M VLM. Distributed through Hugging Face.

Work with this as data

Every API here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for apis

7 MCP tools reach this
  • find_apisBrowse and filter every API in the catalog.
  • get_api_artifactsOne API's artifacts, grouped by type.
  • get_openapiThe primary OpenAPI for this API.
  • find_similar_apisAPIs that look like this one.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This API
curl "https://apis.io/api/v1/apis/docling-ibm-models"
All apis
curl "https://apis.io/api/v1/apis?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

A second provider on the same verified email joins the account you already have.

API entry from apis.yml

apis.yml Raw ↑
aid: docling:docling-ibm-models
name: Docling IBM Models
tags:
- Artificial Intelligence
- Documents
- Layout
- TableFormer
- VLM
tags_raw:
- AI
- Documents
- Layout
- TableFormer
- VLM
humanURL: https://github.com/docling-project/docling-ibm-models
properties:
- url: https://github.com/docling-project/docling-ibm-models
  type: Documentation
- url: https://github.com/docling-project/docling-ibm-models
  type: SourceCode
description: Open-weight IBM Research models that power Docling's understanding pipeline — DocLayout (layout
  detection and reading order), TableFormer (table structure), code- and formula-recognition heads, picture
  classifier, and GraniteDocling-258M VLM. Distributed through Hugging Face.