loadimg
a python package for loading images
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no dependencies, installs instantly, and solves a real friction point in image-handling code. It's especially useful if you work with multiple image APIs or mix PIL and numpy in the same project. The permissive license and low install friction make it a low-risk addition.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction: pure Python wheel with no runtime dependencies.
- Actively maintained with recent commits and regular releases since March 2024.
License · maintenance · safety
Apache 2.0 License (permissive) — Apache 2.0 is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2025-07-22 (388 days) · last repo commit 2026-02-18 · 30 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 82,847 downloads/mo, #14,128 on PyPI
Alternatives
Verify before relying
pip install loadimg
from loadimg import load_img
# Load from URL, convert to base64
img_b64 = load_img("https://example.com/image.jpg", output_type="base64")
# Load from file, convert to numpy
img_array = load_img("/path/to/image.png", output_type="numpy")- Whether the package handles all common image formats (JPEG, PNG, GIF, WebP, etc.) or only a subset.
- Performance characteristics when loading large images or many images in sequence.
- Whether URL loading respects timeouts and handles redirects or authentication.
- Exact Python version compatibility (requires_python is unspecified in metadata).
What it is and what it does
loadimg is a lightweight image-loading utility that abstracts away format conversion boilerplate. It takes an image in any of several input forms—a file path, a URL, a numpy array, a PIL Image, or a base64 string—and converts it to your chosen output format with a single function call. The package includes automatic format detection, so you can pass `input_type="auto"` and let it figure out what you've given it.
The main use case is simplifying image handling in workflows that mix different libraries or APIs. For example, if you're building a chatbot that sends images to Hugging Face or OpenAI, you can load a remote image and immediately convert it to base64 without writing format-detection or encoding logic yourself. It has no external dependencies beyond what Python provides, making it quick to install and integrate.
Use it for
- Convert images to base64 for API calls to Hugging Face, OpenAI, or FAL without manual encoding.
- Load images from URLs or local paths and convert to numpy arrays for ML model input.
- Normalize image input in a library or CLI tool that accepts multiple image sources.
- Switch between PIL and numpy representations without writing format-specific code.
- Build image preprocessing pipelines that accept flexible input types.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no dependencies, installs instantly, and solves a real friction point in image-handling code. It's especially useful if you work with multiple image APIs or mix PIL and numpy in the same project. The permissive license and low install friction make it a low-risk addition.
Install
loadimg on PyPI
Before you install
Low friction: pure Python wheel with no runtime dependencies. Actively maintained with recent commits and regular releases since March 2024.
License in practice
Apache 2.0 is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install loadimg
from loadimg import load_img
# Load from URL, convert to base64
img_b64 = load_img("https://example.com/image.jpg", output_type="base64")
# Load from file, convert to numpy
img_array = load_img("/path/to/image.png", output_type="numpy")Verify before relying
- Whether the package handles all common image formats (JPEG, PNG, GIF, WebP, etc.) or only a subset.
- Performance characteristics when loading large images or many images in sequence.
- Whether URL loading respects timeouts and handles redirects or authentication.
- Exact Python version compatibility (requires_python is unspecified in metadata).
Package facts
| License | Apache 2.0 License permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 388 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 82,847 / month, #14,128 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: 3.9Topic :: Utilities |
Evidence: loadimg-0.5.0-py3-none-any.whl
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