Image Conversion

Image Reading, Metadata Conversion, and Image Writing for Microscopy Images in Pure Python

Aspose.Diagram for Python via .NET is a scalable and feature-rich API to process visio files using Python. API offers Visio file creation, manipulation, conversion and rendering. Developers can format pages to the most granular level, create and manipulate shape, render pages, shapes to PDF and images, and much more - all without any dependency on Microsoft Office or Visio application.

Python Cloud SDK wraps Aspose.Words Cloud API so you could seamlessly integrate Microsoft Word file generation, manipulation, conversion & inspection features into your own python applications.

Conversion between QImages and numpy.ndarrays.

webptools is a Webp image conversion package for python

Conversion of images to the Neuroglancer pre-computed format

An Open-Source Python3 tool for recognizing layouts, tables, math formulas, and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations.

Package for image to timeseries to image conversion

Pure Python library to convert ros image message data from and to opencv2.

Common libraries for the conversion and scaling of fits images

A tool to convert any RGB image or video to any theme or color palette input by the user

Conversion of medical images to MHA and TIFF.

Aspose.HTML for Python via .NET is a powerful API for Python that provides a headless browser functionality, allowing you to work with HTML documents in a variety of ways. With this API, you can easily create new HTML documents or open existing ones from different sources. Once you have the document, you can perform various manipulation operations, such as removing and replacing HTML nodes.

A high-resolution image-to-PCB converter. Gerbolyze plots SVG, PNG and JPG onto existing gerber files. It handles almost the full SVG spec and deals with text, path outlines, patterns, arbitrary paths with self-intersections and holes, etc. fully automatically. It can vectorize raster images both by contour tracing and by grayscale dithering. All processing is done at the vector level without intermediate conversions to raster images accurately preserving the input.

This project contains a command line tool to convert PDF to markdown. It uses image conversion and a LLM to convert the images to markdown.

An automated tool for medical image processing with DICOM to NIfTI conversion, segmentation, and analysis.

The metadata and text content extractor for almost every file type.

360 degree image manipulation and conversion utilities for PyTorch.

GroupDocs Cloud SDK for Python

Open source Python CLI toolkit for conversion, manipulation, Analysis of files (All major file operations)

MTG image dataset with automatic image scraping and conversion.

GroupDocs Cloud SDK for Python3

AI powered Telegram bot for chatting, text-to-image and text-to-speech conversions

A tool for object detection and image segmentation dataset format conversion. Supports conversion between labelme tool annotated data, labelImg tool annotated data, YOLO, PubLayNet and COCO data set formats.

Convert PDF documents and images to Markdown format with AI assistance

A python package for DICOM to NifTi and NifTi to DICOM-SEG and GSPS conversion

RADIFOX is the RADiological Image File Ontology eXtension, a Python package for the organization and management of medical images.

A Python library for converting between different image formats with metadata preservation

Powered by patented artificial intelligence and machine learning algorithms, LEADTOOLS is a collection of comprehensive toolkits to integrate recognition, document, medical, imaging, and multimedia technologies into desktop, server, tablet, web and mobile solutions.

Imagecast is like ImageMagick but for Pythonistas. Optionally provides its features via HTTP API.

Collection of image processing tools and techniques, including padding, flipping, colorscale conversion, seam carving, and image shrinking. Designed for efficient manipulation and transformation of images.

Whole Slide Image (WSI) conversion for brightfield histology images

Convert images to character art with support for multiple character sets and formats

LiteCNN: Intuitive Python library for creating, training and visualizing convolutional neural networks. Features simplified CNN layer definition, automated training workflows, model visualization, and seamless Keras-to-ONNX conversion. Includes 15 pre-configured popular models for immediate use.

TRS-80 Color Computer Tools

This Python module provides utility functions for various image processing tasks, such as image conversion, display, normalization, and enhancement. It leverages the power of libraries like cv2 and numpy to handle and manipulate image data.

A Python package for image resizing and PDF to image conversion

Package for Hydrocarbon to Image conversion

palettecleanse is a python library for quick conversions of images to custom color palettes

A collection of Python utilities for handling media files.

Converts DBML files to their graphviz representation in .dot format. It can also optionally do the additional conversion to an image format using graphviz.

Package for Hydrocarbon to Image conversion

PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion

A Python Library with 5 GUI Projects : Gmail, Captcha, TicTacToe Game, Instagram Image Filters and Currency Conversion

Tools to work with Aseprite files

A package to help manage pdf pages, images and their conversions during different NLP, CV or other tasks to avoid repetitive code blocks and give a simple function call to make it happen

PyConvertAPI Image Converter is a Python library for converting images to different formats using ConvertAPI

A Python library for image scaling, conversion and document thumbnail generation.

Set of MC-10 tools

PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRFs, MixTransformers, SegFormer, (planned DeepLabV3+, ConvNeXtV2, YOLO, etc.)