python-documentcloud
A simple Python wrapper for the DocumentCloud API
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries a permissive MIT license, and has no known vulnerabilities. Install it if you need to work with DocumentCloud programmatically from Python; skip it if you only use the web interface or need features not yet wrapped by the library.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires valid DocumentCloud account credentials (username and password or API token) to authenticate with the service.
- Low install friction with a pure-Python wheel.
- Active maintenance: last commit 2026-06-29, released 46 days ago.
License · maintenance · safety
MIT (permissive) — MIT license (permissive) means you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2026-06-29 (46 days) · last repo commit 2026-06-29 · 13 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 259,580 downloads/mo, #8,411 on PyPI
Alternatives
Verify before relying
pip install python-documentcloud
from documentcloud import DocumentCloud
client = DocumentCloud(username='your_email', password='your_password')
documents = client.documents.all()- Whether the package supports modern authentication methods beyond username/password (e.g., API tokens or OAuth).
- Performance characteristics when working with large document collections or bulk uploads.
- Whether all DocumentCloud API endpoints are fully wrapped or if some require direct HTTP calls.
What it is and what it does
python-documentcloud is a client library that abstracts the DocumentCloud REST API into Python objects and methods. It handles authentication, rate limiting, and HTTP communication so you can work with documents and projects programmatically rather than through the web interface. The package wraps core DocumentCloud operations—retrieving public and private documents, uploading PDFs, organizing into projects, and downloading extracted text and images—into a straightforward Python API.
The library depends on requests for HTTP, ratelimit and token-bucket for API throttling, python-dateutil for timestamp handling, and pyyaml and fastjsonschema for configuration and validation. It's designed for developers who need to integrate DocumentCloud into Python workflows, such as batch processing documents, automating uploads, or building tools that query a DocumentCloud repository.
Use it for
- Batch upload a folder of PDFs to DocumentCloud and organize them into projects programmatically.
- Query and download extracted text from documents in your DocumentCloud account for analysis or indexing.
- Automate document management tasks like tagging, organizing, or updating metadata across many documents.
- Build a Python application that reads from or writes to a shared DocumentCloud repository.
- Extract and process images that DocumentCloud has already extracted from your PDF collection.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has low install friction, carries a permissive MIT license, and has no known vulnerabilities. Install it if you need to work with DocumentCloud programmatically from Python; skip it if you only use the web interface or need features not yet wrapped by the library.
Install
python-documentcloud on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance: last commit 2026-06-29, released 46 days ago. Ten runtime dependencies including requests, ratelimit, and token-bucket for API interaction.
Requires valid DocumentCloud account credentials (username and password or API token) to authenticate with the service.
License in practice
MIT license (permissive) means you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install python-documentcloud
from documentcloud import DocumentCloud
client = DocumentCloud(username='your_email', password='your_password')
documents = client.documents.all()Verify before relying
- Whether the package supports modern authentication methods beyond username/password (e.g., API tokens or OAuth).
- Performance characteristics when working with large document collections or bulk uploads.
- Whether all DocumentCloud API endpoints are fully wrapped or if some require direct HTTP calls.
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 10 packagesfuturelistcrunchpython-dateutilratelimitrequestsurllib3pyyamlfastjsonschemapython-squarelettoken-bucket |
| Maintenance | Actively maintained 46 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 259,580 / month, #8,411 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Internet :: WWW/HTTP |
Evidence: python_documentcloud-4.8.1-py2.py3-none-any.whl
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