aurelio-sdk
Aurelio Platform SDK
Decision gist · record as of 2026-08-14
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
Alternatives
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.
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.
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
| License | Not declared unclear |
| Python support | Supports the current Python release <4.0,>=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packagesaiohttprequestspydanticcolorlogrequests-toolbeltpython-dotenvaiofilestornado |
| Maintenance | Aging 508 days since the last release |
| First released | |
| Downloads | 417,594 / month, #6,815 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None 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
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “PDF and video text extraction”
- aurelio-sdkClient library for the Aurelio Platform that provides APIs for…
- crewai-filesProvides file type abstractions for CrewAI multimodal inputs,…
- doclingDocling parses diverse document formats—PDF, DOCX, PPTX, XLSX, HTML,…
Give your agent the search over MCP, or paste the wish link into any chat.
More WWW/HTTP packages
urllib3 is an HTTP client library that provides thread-safe connection pooling, SSL/TLS verification, multipart file uploads, request retries, compression support, and proxy handling for Python applications.
Requests is a Python HTTP library that simplifies sending HTTP/1.1 requests with automatic handling of headers, authentication, cookies, and response parsing.
h11 is a pure-Python HTTP/1.1 protocol implementation that handles parsing and serializing HTTP messages without any built-in I/O, letting you integrate it with any network layer you choose.
HTTPX is a fully featured HTTP client library for Python that provides both sync and async APIs, with support for HTTP/1.1 and HTTP/2, plus an integrated command-line client.
Install it if you are building new projects or modernizing existing ones that rely on HTTP.
A minimal low-level HTTP client library that sends HTTP requests with thread-safe and task-safe connection pooling, supporting HTTP/1.1, HTTP/2, proxies, and both sync and async interfaces.
aiohttp is an async HTTP client and server framework built on asyncio, supporting both WebSockets and middleware-based routing for building concurrent web applications.
Install it if you need async HTTP client or server capabilities in asyncio-based applications.
See also python-documentcloud · kreuzberg · chonkie · datalab-python-sdk · semchunk · textract · pdf-oxide · mistralai · pdftotext · chonkie-core