2026-01-14

Free ID Photo Generator

Free ID photo generator powered by BiRefNet background removal and GPT-4o Vision validation

Tech Stack
BiRefNet GPT-4o Vision PyTorch Flask Pillow Transformers Docker
Free ID Photo Generator

Free ID Photo Generator

🎯 Project Background

A few days ago, I suddenly needed a passport photo. To save time, I downloaded a random paid app — $3.99 gone, and the photo quality was disappointing: messy background, weird proportions.

I thought to myself: it's 2026, how hard can it be to generate a compliant ID photo from a selfie?

So I decided to build one myself.

✨ Key Features

  • 📐 Official Size Compliance — Supports passport/visa standard sizes for various countries (300 DPI)
  • 🧠 Pixel-Perfect Cropping & Head Ratio Calibration — Auto-detects face position, adjusts head proportion per regulations
  • ✂️ AI-Powered Background Removal — BiRefNet deep learning model for clean edges and preserved hair details
  • 🤖 GPT-4o Vision Validation — Automatically checks if photo meets ID photo requirements
  • 📷 No Filters, No Beautification — Looks exactly like you, meeting authenticity requirements

Most importantly: Completely free, no registration, no download required.

💻 Technical Implementation

Core Architecture

Frontend-backend separation with Flask RESTful API backend and lightweight native HTML/CSS/JS frontend.

BiRefNet Background Removal

The project uses BiRefNet (Bilateral Reference Network) as the core background removal engine. This deep learning-based portrait segmentation model offers significant advantages over traditional algorithms:

  • Hair-Level Precision — Bilateral reference mechanism for accurate segmentation of hair, ears, and edge details
  • Strong Robustness — Excellent adaptation to complex backgrounds and lighting variations
  • Fast Inference — GPU/MPS acceleration support, ~1 second processing per image

GPT-4o Vision Photo Validation

Before generating the ID photo, the system calls GPT-4o Vision multimodal model for intelligent validation:

  • Checks for front-facing, bare-headed photo
  • Verifies even lighting without shadows
  • Confirms appropriate expression (natural, mouth closed)
  • Detects non-compliant items (glasses, hats, etc.)

If the photo doesn't meet requirements, the system returns specific error messages to help users retake.

🎮 Live Demo

🎯 Project URL: https://idphoto.harveywork.com/landing

I've already used it to get my passport photo done — passed on the first try. If you need a passport/visa/ID photo, give it a try.

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🛠️ Technology Stack

AI & Deep Learning:
  - BiRefNet (High-precision portrait segmentation)
  - GPT-4o Vision (Photo validation)
  - PyTorch (Deep learning framework)
  - Transformers (Model loading)

Backend:
  - Python 3.11+
  - Flask (Web framework)
  - Pillow (Image processing)
  - NumPy (Numerical computing)

Frontend:
  - HTML5/CSS3
  - JavaScript (Vanilla)
  - Responsive Design

Deployment:
  - Docker
  - Gunicorn

This project solves a simple but universal pain point: using AI to let everyone generate compliant ID photos for free and fast.

Harvey

Full Stack Developer

A full-stack developer passionate about solving real-world business challenges, with expertise in data science and artificial intelligence.

Contact Me