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aurelio-sdk

Aurelio Platform SDK

With conditionsPyPI WWW/HTTPReleased Mar 2025417.6K downloads / moPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — aurelio_sdk-0.0.19-py3-none-any.whl
v0.0.19 · released 2025-03-24 · Python <4.0,>=3.9 · 8 runtime deps: aiohttp, requests, pydantic, colorlog, requests-toolbelt, python-dotenv, aiofiles, tornado

Yes, if you need document extraction and chunking from the Aurelio Platform. Install friction is low and the API is well-documented. However, the aging maintenance status (508 days since last release) and unclear license warrant caution: verify license compliance and confirm the platform meets your availability and cost requirements before committing to production use.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires AURELIO_API_KEY environment variable or explicit API key; Aurelio Platform account needed to obtain the key.
  • Low install friction with a pure-Python wheel distribution.
  • Maintenance status is aging—last release was 508 days ago—so expect slower response to issues or updates.

License · maintenance · safety

(unclear) — License treatment is unclear; no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms before use in proprietary or commercial projects.

last release 2025-03-24 (508 days)

0 known vulnerabilities (OSV.dev, 2026-08-14) · 417,594 downloads/mo, #6,815 on PyPI

Verify before relying

pip install aurelio-sdk

from aurelio_sdk import AurelioClient
import os

client = AurelioClient(api_key=os.environ["AURELIO_API_KEY"])
response = client.chunk(content="Your text here", processing_options=None)
  • Whether the Aurelio Platform API requires a paid subscription or has usage limits beyond the free tier.
  • Current state of the repository (archived status, active maintenance) given the aging maintenance signal.
  • Specific error handling and retry behavior for long-running extraction tasks.
  • Performance characteristics and latency expectations for different file sizes and quality settings.
Same gist for agents: .md · .json

What it is and what it does

Aurelio SDK is a Python client for the Aurelio Platform, a document processing service. It wraps HTTP APIs for extracting text from PDFs and videos (from local files or URLs), chunking text into semantic segments, and generating embeddings. The package provides both synchronous and asynchronous clients built on aiohttp, requests, and Pydantic, with support for configurable extraction quality, chunking strategies, and polling for long-running tasks.

Typical workflows involve initializing a client with an API key, submitting documents for extraction with optional chunking, polling for completion, and retrieving structured responses. The library handles file uploads via requests-toolbelt and environment variable configuration via python-dotenv. It's designed for integration into data pipelines, RAG systems, or document processing workflows that need reliable text extraction and semantic chunking.

Use it for

  • Extract text from PDF documents and video files for indexing into a vector database or search system.
  • Chunk long documents into semantic segments for use in retrieval-augmented generation (RAG) pipelines.
  • Generate embeddings for text snippets to power similarity search or clustering tasks.
  • Batch process multiple files or URLs with configurable quality/speed tradeoffs and async polling.
  • Integrate document extraction into a data ingestion pipeline with environment-based API key management.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you need document extraction and chunking from the Aurelio Platform.

Install friction is low and the API is well-documented. However, the aging maintenance status (508 days since last release) and unclear license warrant caution: verify license compliance and confirm the platform meets your availability and cost requirements before committing to production use.

Install

aurelio-sdk on PyPI

Before you install

Low install friction with a pure-Python wheel distribution. Maintenance status is aging—last release was 508 days ago—so expect slower response to issues or updates.

Requires AURELIO_API_KEY environment variable or explicit API key; Aurelio Platform account needed to obtain the key.

License in practice

License treatment is unclear; no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms before use in proprietary or commercial projects.

Quickstart

pip install aurelio-sdk

from aurelio_sdk import AurelioClient
import os

client = AurelioClient(api_key=os.environ["AURELIO_API_KEY"])
response = client.chunk(content="Your text here", processing_options=None)

Verify before relying

  • Whether the Aurelio Platform API requires a paid subscription or has usage limits beyond the free tier.
  • Current state of the repository (archived status, active maintenance) given the aging maintenance signal.
  • Specific error handling and retry behavior for long-running extraction tasks.
  • Performance characteristics and latency expectations for different file sizes and quality settings.

Package facts

LicenseNot declared unclear
Python supportSupports the current Python release <4.0,>=3.9
Install frictionLow. Pure-Python wheel
Runtime dependencies
8 packages
aiohttprequestspydanticcolorlogrequests-toolbeltpython-dotenvaiofilestornado
MaintenanceAging 508 days since the last release
First released
Downloads417,594 / month, #6,815 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.9

Evidence: aurelio_sdk-0.0.19-py3-none-any.whl

Tags

Capabilities
document extraction SDKPDF and video text extractiontext chunking and embeddingsAurelio platform clientasync document processingfile and URL content extractionsemantic chunking
Topics
document-extractionembeddingsasync-http

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See also python-documentcloud · kreuzberg · chonkie · datalab-python-sdk · semchunk · textract · pdf-oxide · mistralai · pdftotext · chonkie-core