atlas-doc-parser
Atlassian Document Format Parser.
Decision gist · record as of 2026-08-14
Yes, if you need to extract and convert Confluence or Jira content for AI workflows. The package solves a specific, real problem with low install friction and no security issues. The aging maintenance status is a minor concern but not a blocker—the code is stable, the last commit is recent, and the task is narrow. Install it if ADF-to-Markdown conversion is on your critical path.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (supports 3.10, 3.11, 3.12, 3.13).
- Low friction: pure Python wheel with a single runtime dependency.
- Repository is active with a recent commit on 2026-01-04, though marked as aging at 222 days since release.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions—you may use, modify, and distribute the package freely provided you retain the license notice.
last release 2026-01-04 (222 days) · last repo commit 2026-01-04 · 15 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 84,783 downloads/mo, #13,974 on PyPI
Alternatives
Verify before relying
pip install atlas-doc-parser
from atlas_doc_parser.api import NodeDoc
# Parse ADF JSON from Confluence/Jira API
doc = NodeDoc.from_dict(adf_json)
markdown = doc.to_markdown()- Completeness of ADF feature coverage—which Confluence/Jira ADF node types are fully supported vs. partially handled or skipped.
- Performance characteristics with large or deeply nested ADF documents.
- Whether the Markdown output is optimized for specific LLM models or is generic.
What it is and what it does
atlas_doc_parser bridges Confluence and Jira's Atlassian Document Format (ADF)—a complex JSON structure—into clean Markdown that AI models can consume. The library provides a straightforward API: parse ADF JSON via NodeDoc.from_dict(), then call to_markdown() to get usable text. This solves a real friction point: teams store knowledge in Confluence pages and Jira issues, but those systems' rich-text format is opaque to LLMs. By converting to Markdown, you unlock that knowledge for AI workflows—summarization, context injection, training data generation, or semantic search.
The package is minimal and focused: it depends only on func_args and installs as a pure Python wheel with no compiled dependencies. It targets modern Python versions and carries an MIT license. The repository is active but shows aging maintenance signals—the latest release was 222 days ago, though the last commit is recent. With no known security vulnerabilities and moderate adoption, it's a straightforward tool for a specific task.
Use it for
- Extract Confluence page content and feed it to an LLM for summarization or Q&A without manual copy-paste.
- Bulk convert Jira issue descriptions and comments to Markdown for use as training data or context in AI pipelines.
- Build a knowledge base ingestion system that pulls from Confluence/Jira and prepares it for semantic search or RAG.
- Automate documentation export from Confluence into a format suitable for static site generators or LLM processing.
- Parse Jira issue details to generate AI-assisted ticket summaries or automated status reports.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to extract and convert Confluence or Jira content for AI workflows.
The package solves a specific, real problem with low install friction and no security issues. The aging maintenance status is a minor concern but not a blocker—the code is stable, the last commit is recent, and the task is narrow. Install it if ADF-to-Markdown conversion is on your critical path.
Install
atlas-doc-parser on PyPI
Before you install
Low friction: pure Python wheel with a single runtime dependency. Repository is active with a recent commit on 2026-01-04, though marked as aging at 222 days since release.
Requires Python 3.10 or later (supports 3.10, 3.11, 3.12, 3.13).
License in practice
MIT license permits commercial and private use with minimal restrictions—you may use, modify, and distribute the package freely provided you retain the license notice.
Quickstart
pip install atlas-doc-parser
from atlas_doc_parser.api import NodeDoc
# Parse ADF JSON from Confluence/Jira API
doc = NodeDoc.from_dict(adf_json)
markdown = doc.to_markdown()Verify before relying
- Completeness of ADF feature coverage—which Confluence/Jira ADF node types are fully supported vs. partially handled or skipped.
- Performance characteristics with large or deeply nested ADF documents.
- Whether the Markdown output is optimized for specific LLM models or is generic.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagefunc_args |
| Maintenance | Aging 222 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 84,783 / month, #13,974 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: atlas_doc_parser-1.0.1-py3-none-any.whl
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See also atlassian-doc-builder · md2cf · adf-lib · markdown-to-confluence · sphinxcontrib-confluencebuilder · mcp-atlassian · jira2markdown · markdown2 · landingai-ade · apache-airflow-providers-atlassian-jira