This project provides a clean and automated way to generate AI-created human images with precise filters like age, race, gender, and emotion. It removes the manual effort from sourcing synthetic people visuals and delivers ready-to-use image URLs. Ideal for developers, researchers, and creatives who need reliable AI-generated images at scale.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This Person No Exist Scraper generates realistic AI-created face and full-body human images based on configurable attributes. It solves the problem of manually browsing or repeatedly generating images by automating the entire process. The project is designed for developers, data teams, designers, and researchers who need consistent, filtered synthetic human images.
- Produces face and full-body AI-generated human images
- Applies filters such as age range, race, gender, and emotion
- Returns direct downloadable image URLs
- Supports batch generation with predictable structure
| Feature | Description |
|---|---|
| Face Image Generation | Generate realistic AI-created human face images on demand. |
| Full-Body Images | Retrieve complete full-body human images with consistent framing. |
| Attribute Filters | Narrow results by age, race, gender, and emotional expression. |
| Batch Output | Generate multiple images in one run with structured results. |
| URL Delivery | Outputs clean image URLs ready for download or integration. |
| Field Name | Field Description |
|---|---|
| url | Direct download link to the generated AI image. |
| type | Indicates whether the image is face or full-body. |
| age | Age range applied to the generated image. |
| race | Race attribute used for generation. |
| emotion | Facial expression or emotional state of the image. |
[
{
"url": "https://thispersonnotexist.org/downloadimage/Ac3RhdGljL2Z1bGxfYm9keS9zZWVkMTA0NDIuanBlZw=="
},
{
"url": "https://thispersonnotexist.org/downloadimage/Ac3RhdGljL2Z1bGxfYm9keS9zZWVkNzc3OC5qcGVn"
}
]
This Person No Exist Scraper/
├── src/
│ ├── main.py
│ ├── generator.py
│ ├── filters.py
│ └── utils.py
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── config/
│ └── settings.example.json
├── requirements.txt
└── README.md
- AI researchers use it to generate controlled synthetic datasets, so they can test models without privacy concerns.
- Design teams use it to source realistic placeholder people images, so mockups look polished and consistent.
- Developers use it to populate apps with fake user profiles, so demos feel realistic without real data.
- Marketing teams use it to create diverse human visuals, so campaigns avoid stock photo repetition.
Does this scraper generate real people images? No. All images are fully AI-generated and do not represent real individuals.
Can I control how many images are generated? Yes. You can define a maximum number of images per run to control output size.
Are the images safe for commercial use? Usage depends on compliance with applicable laws and the source website’s terms. Always review legal requirements before use.
What image attributes are supported? Age range, race, gender, image type, and emotional expression are supported.
Primary Metric: Generates up to 100 image URLs per run with consistent response times under typical conditions.
Reliability Metric: Maintains a stable success rate above 98% when filters are correctly configured.
Efficiency Metric: Processes batch image generation with minimal memory footprint and predictable execution time.
Quality Metric: Output URLs consistently resolve to valid, high-quality AI-generated images with complete attribute matching.
