HivisionIDPhotos

HivisionIDPhotos is a streamlined, open-source AI APPlication designed specifically for generating compliant, high-fIDElity ID photographs without relying on cloud services or internet connectivity. Built for privacy-conscious users and developers alike, it delivers production-ready image ouTPUts — including transparent PNGs, color-background variants, and multi-photo layouts — using efficient, CPU-optimized models. Its architecture prioritizes accessibility: no GPU is required, installation is minimal, and inference runs entirely offline by default, making it ideal for environments with liMITed hardware or strict data governance policies.

What it does

HivisionIDPhotos transfORMs ordinary selfies or Portrait photos into official-grade identification images through a modular pipeline. It accepts raw input images and performs Intelligent human segmentation (matting), followed by precise cropping to international ID photo dimensions (e.g., 413×295 px for Chinese passports). It then supports adding solid-color backgrounds (with customizable hex codes), generating six-inch print layouts contAIning multiple identical ID photos, and applying subtle, adjustable beautification filters — all while preserving facial fidelity and document compliance.

Key capabilities

• Offline human matting: Uses Lightweight models like HiVision-MODNet to extrACT clean alpha mattes from portraits — fully CPU-accelerated and zero latency dependency.
• Standards-compliant ID generation: Outputs both standard and high-resolution ID photos in 4-channel PNG format with transparency, supporting common global sizing requirements.
• Background customization: Adds user-specified solid-color backgrounds (e.g., blue, white, red) to transparent portraits with anti-aliASIng and edge refinement.
• Print-ready layout creation: Generates six-inch photo sheets with configurable margins and spacing — optimized for physical photo lab submissions.
• Flexible deployment: Supports both pure offline execution and optional hybrid Inference (e.g., offloading specific stages to rEMOte APIs if configured).

Who it is for

This tool serves indiViduals needing quick, private ID photo creation; photographers offering value-added digital services; government or HR departments processing internal documentation; and developers integrating ID photo Workflows into larger applications. Its CLI-first design appeals to technically proficient users, while its modularity allows integration into web or desktop GUI wrappers.

How to get started

Installation requires Python 3.8+, Git, and basic command-line familiarity. Users clone the GitHub repository, install dependencies via pip, and run inference scripts with intuitive flags — for example, python inference.py -i input.JPG -o output.png --height 413 --width 295 for passport-sized output. pre-trained models are bundled; no API keys or accounts are needed. Documentation includes usage examples for each function: matting, background addition, layout generation, and cropping.

Pricing and access caveat

HivisionIDPhotos is completely free and open-source under an MIT license. There are no subscriptions, credits, or hidden fees. However, because it is a developer-focused CLI tool, end users may need technical assistance to set up or customize behavior. While officially distributed via GitHub, third-party GUI wrappers or hosted veRSIons may introduce variable terms — always verify source authenticity and licensing before use. Version numbers and model updates may vary across forks; the canonical version is maintained by Zeyi Lin and the SwanLab team.