Is docling-slim free?

Yes — docling-slim is open source under the MIT license and free to use.

What platforms does docling-slim run on?

docling-slim runs on the command line. It can also be self-hosted.

Is docling-slim still active?

The GitHub repository shows 243 commits in the last 90 days.

Who develops docling-slim?

docling-slim is developed by docling-project.

When did docling-slim launch?

docling-slim first shipped in 2024.

Is docling-slim open source?

Yes — docling-slim is open source under the MIT license.

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docling-slim

Name: docling-slim
Author: docling-project

PyPIInfrastructure

docling-slim is an open-source modular SDK and CLI tool for parsing PDF, DOCX, HTML, and other document formats into a unified document representation. It enables developers to automate document processing and power downstream workflows, including generative AI applications.

Open SourceMITCLISelf-hosted

Visit PyPI

62.6kstars

4.4kforks

8features

2024since

Overview

8 features

docling-slim is a Data integration & ETL project. It focuses on parsing and converting diverse document formats into a unified representation for downstream processing and AI workflows. It is built as an open-source project for developers needing to process and convert documents for automation or AI applications. The project is open source (MIT). It ships for the command line, and it can be self-hosted.

It is developed by docling-project, and it first shipped in 2024. The project is developed in the open on GitHub with 62.6k stars and 243 commits in the last 90 days. Key capabilities include PDF parsing, DOCX parsing, and HTML parsing.

Summary written by a language model from the project’s public pages.

PDF parsing
DOCX parsing
HTML parsing
Unified document model
CLI interface
SDK integration
Markdown support
Document segmentation

Built with & integrations

AI providers

local_oss

Runs on

CLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed4 Jul · 14:24 UTC
docling-slim verified via PyPI Fresh Feed
Source: PyPI Fresh Feed · Open

Frequently asked questions about docling-slim

What is docling-slim?: Docling-slim focuses on parsing and converting diverse document formats into a unified representation for downstream processing and AI workflows. It is catalogued under Data integration & ETL on PulseGate.
Who should use docling-slim?: docling-slim is an open-source project built for developers needing to process and convert documents for automation or AI applications.
Is docling-slim free?: Yes — docling-slim is open source under the MIT license and free to use.
What platforms does docling-slim run on?: docling-slim runs on the command line. It can also be self-hosted.
Is docling-slim still active?: The GitHub repository shows 243 commits in the last 90 days.
Who develops docling-slim?: docling-slim is developed by docling-project.
When did docling-slim launch?: docling-slim first shipped in 2024.
Is docling-slim open source?: Yes — docling-slim is open source under the MIT license.

At a glance

Platforms: CLI
Languages: English
License: MIT
Built for: Developers needing to process and convert documents for automation or AI applications
Model: Open source
Solves: Parsing and converting diverse document formats into a unified representation for downstream processing and AI workflows.

Registered as

PyPI: docling-slim

Developer

docling-project

Community-driven

Open source

Stars: 62,636
Forks: 4,413
Open issues: 932
Last commit: 4 Jul 2026
Commits 90d: 243
Contributors: 254
Authorship: Community-driven
Default branch: main
Latest release: v2.110.0 · 4 Jul 2026

Index record

Indexed: 4 Jul 2026
Lifecycle: Alive
Last seen: 4 Jul 2026

Identity audit (12)

Slug: docling-slim-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 4 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Recorded source: taxonomy-pass-b.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://pypi.org/project/docling-slim

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