Who is docling-mps for?

docling-mps is an open-source project built for developers.

Does docling-mps have a free plan?

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

What platforms does docling-mps run on?

docling-mps runs on the command line.

Is docling-mps still active?

The GitHub repository shows 244 commits in the last 90 days.

What are alternatives to docling-mps?

Similar projects tracked by PulseGate include docling, docling-slim, and docling-mcp.

Is docling-mps open source?

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

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docling-mps

PyPIInfrastructure

docling-mps is an open-source SDK and CLI tool for parsing PDF, DOCX, HTML, and other document formats into a unified representation. It is designed for developers building workflows that require document conversion and segmentation for further processing, including AI applications.

Open SourceMITCLI

Visit PyPI

62.7kstars

4.4kforks

7features

2024since

Overview

7 features

In the Data integration & ETL space, docling-mps takes a focused approach. It focuses on parsing and converting diverse document formats into a unified structure for downstream processing. It is built as an open-source project for developers. The project is open source (MIT). docling-mps is available on the command line.

docling-mps first shipped in 2024. Development happens publicly on GitHub with 62.7k stars and 244 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
Document segmentation

Built with & integrations

AI providers

local_oss

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed6 Jul · 12:08 UTC
docling-mps verified via PyPI Fresh Feed
Source: PyPI Fresh Feed · Open

Frequently asked questions about docling-mps

What is docling-mps?: Docling-mps focuses on parsing and converting diverse document formats into a unified structure for downstream processing. It is catalogued under Data integration & ETL on PulseGate.
Who is docling-mps for?: docling-mps is an open-source project built for developers.
Does docling-mps have a free plan?: Yes — docling-mps is open source under the MIT license and free to use.
What platforms does docling-mps run on?: docling-mps runs on the command line.
Is docling-mps still active?: The GitHub repository shows 244 commits in the last 90 days.
What are alternatives to docling-mps?: Similar projects tracked by PulseGate include docling, docling-slim, and docling-mcp.docling docling-slim docling-mcp
How long has docling-mps been around?: docling-mps first shipped in 2024.
Is docling-mps open source?: Yes — docling-mps is open source under the MIT license.

At a glance

Platforms: CLI
Languages: English
License: MIT
Built for: developers
Model: Open source
Solves: Parsing and converting diverse document formats into a unified structure for downstream processing.

Registered as

PyPI: docling-mps

Developer

Doclingproject

Community-driven

Open source

Stars: 62,737
Forks: 4,419
Open issues: 935
Last commit: 6 Jul 2026
Commits 90d: 244
Contributors: 255
Authorship: Community-driven
Default branch: main
Latest release: v2.110.0 · 4 Jul 2026

Index record

Indexed: 6 Jul 2026
Lifecycle: Alive
Last seen: 6 Jul 2026

Identity audit (12)

Slug: docling-mps-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: 6 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-mps

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