AI Baby Generator: FutureBaby is an innovative app that uses advanced AI algorithms to predict the potential appearance of future children by analyzing parents' facial features. This entertaining app is designed to provide delightful moments for couples, especially expecting parents. It offers a unique way to imagine and visualize what a future child might look like, creating a fun and engaging experience.
AI Baby Generator: FutureBaby on the App Store
Introducing the FutureBaby: AI Baby Generator app, an innovative tool that predicts the potential appearance of your future child by analyzing the facial features of you and your partner.
Introduction
Feature
Facial Analysis and Baby Prediction
The app utilizes cutting-edge AI algorithms to analyze facial features of both parents and generate a visual representation of their potential future child's face.
User-Friendly Interface
Designed for ease of use, the app provides a straightforward experience that promises lots of laughs and enjoyment for families and couples.
Multi-Platform Compatibility
Available on various Apple platforms:
- iOS 12.0 or later
- iPadOS 12.0 or later
- macOS 11.0 or later (requires Apple M1 chip or later)
- visionOS 1.0 or later
Flexible Pricing Model
| Plan | Price |
|---|---|
| Free Download | $0 |
| Weekly Premium | $29.99 |
| Quarterly Premium | $249.99 |
| Yearly Premium | $599.99 |
Privacy-Focused
The app collects minimal data, with clear distinctions between data linked to identity and non-linked data. Privacy practices may vary based on features used or user age.
Highly Rated
Boasting a perfect 5.0 out of 5 stars rating from users, with reviews praising its entertainment value and usefulness for expecting parents.
FAQ
Is AI Baby Generator accurate?
The app's predictions should not be taken seriously as its accuracy is not guaranteed. It's designed primarily for entertainment purposes.
How do I cancel my subscription?
You can cancel your subscription through the App Store or by contacting the developer directly.
What other apps does this developer offer?
The developer offers several other apps including:
- AstroTarot
- BirthDaily
- Sticker Maker AI for Whatsapp
- UluApp
- CreateINK: AI Tattoo Generator
- ImagePro: AI Image Enhancer
Latest Traffic Insights
Monthly Visits
124.77 M
Bounce Rate
74.15%
Pages Per Visit
1.56
Time on Site(s)
46.64
Global Rank
-
Country Rank
-
Recent Visits
Traffic Sources
- Social Media:2.88%
- Paid Referrals:2.50%
- Email:0.18%
- Referrals:19.65%
- Search Engines:29.02%
- Direct:45.78%
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![Batch Save ChatGPT to Notion
This is a guide on how to save multiple ChatGPT responses to Notion in a batch.
Tools You'll Need:
* ChatGPT: An AI chatbot that can generate text.
* Notion: A note-taking and project management tool.
* Python: A programming language.
* Requests Library: A Python library for making HTTP requests.
Steps:
1. Get Your Notion API Token:
- Go to your Notion workspace settings.
- Navigate to the "Integrations" tab.
- Click "Create new integration" and choose "API Token".
- Copy your API token.
2. Install Python Libraries:
- Open your terminal or command prompt.
- Type `pip install requests` and press Enter.
3. Write Python Script:
- Create a new Python file (e.g., `save_chatgpt_to_notion.py`).
- Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token:
```python
import requests
def save_chatgpt_response_to_notion(response, page_id, token):
"""Saves a ChatGPT response to a Notion page."""
url = f"https://api.notion.com/v1/pages/{page_id}/children"
headers = {"Authorization": f"Bearer {token}"}
data = {
"parent": {
"page_id": page_id
},
"properties": {
"title": {
"title": [
{
"text": {
"content": "ChatGPT Response"
}
}
]
},
"content": {
"rich_text": [
{
"text": {
"content": response
}
}
]
}
}
}
response = requests.post(url, headers=headers, json=data)
print(response.status_code)
Example usage
page_id = "YOUR_NOTION_PAGE_ID"
token = "YOUR_NOTION_API_TOKEN"
Get ChatGPT responses (replace with your actual ChatGPT interaction)
chatgpt_responses = [
"This is the first ChatGPT response.",
"This is the second ChatGPT response.",
"This is the third ChatGPT response."
]
Save each response to Notion
for response in chatgpt_responses:
save_chatgpt_response_to_notion(response, page_id, token)
```
4. Run the Script:
- In your terminal, navigate to the directory where you saved the Python file.
- Type `python save_chatgpt_to_notion.py` and press Enter.
5. Check Notion:
- Open your Notion workspace and go to the page specified by `page_id`.
- You should see your ChatGPT responses saved as separate blocks.](https://static.right-ai.com/tools/2024/7/4/chromewebstore-google-com-detail-save-chatgpt-to-notion-da-djefhicmpbpmmlagbgooepmbobdhajgn-thumbnail-1720087209.png "Batch Save ChatGPT to Notion
This is a guide on how to save multiple ChatGPT responses to Notion in a batch.
Tools You'll Need:
* ChatGPT: An AI chatbot that can generate text.
* Notion: A note-taking and project management tool.
* Python: A programming language.
* Requests Library: A Python library for making HTTP requests.
Steps:
1. Get Your Notion API Token:
- Go to your Notion workspace settings.
- Navigate to the \"Integrations\" tab.
- Click \"Create new integration\" and choose \"API Token\".
- Copy your API token.
2. Install Python Libraries:
- Open your terminal or command prompt.
- Type `pip install requests` and press Enter.
3. Write Python Script:
- Create a new Python file (e.g., `save_chatgpt_to_notion.py`).
- Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token:
```python
import requests
def save_chatgpt_response_to_notion(response, page_id, token):
\"\"\"Saves a ChatGPT response to a Notion page.\"\"\"
url = f\"https://api.notion.com/v1/pages/{page_id}/children\"
headers = {\"Authorization\": f\"Bearer {token}\"}
data = {
\"parent\": {
\"page_id\": page_id
},
\"properties\": {
\"title\": {
\"title\": [
{
\"text\": {
\"content\": \"ChatGPT Response\"
}
}
]
},
\"content\": {
\"rich_text\": [
{
\"text\": {
\"content\": response
}
}
]
}
}
}
response = requests.post(url, headers=headers, json=data)
print(response.status_code)
Example usage
page_id = \"YOUR_NOTION_PAGE_ID\"
token = \"YOUR_NOTION_API_TOKEN\"
Get ChatGPT responses (replace with your actual ChatGPT interaction)
chatgpt_responses = [
\"This is the first ChatGPT response.\",
\"This is the second ChatGPT response.\",
\"This is the third ChatGPT response.\"
]
Save each response to Notion
for response in chatgpt_responses:
save_chatgpt_response_to_notion(response, page_id, token)
```
4. Run the Script:
- In your terminal, navigate to the directory where you saved the Python file.
- Type `python save_chatgpt_to_notion.py` and press Enter.
5. Check Notion:
- Open your Notion workspace and go to the page specified by `page_id`.
- You should see your ChatGPT responses saved as separate blocks.")
Batch Save ChatGPT to Notion This is a guide on how to save multiple ChatGPT responses to Notion in a batch. Tools You'll Need: * ChatGPT: An AI chatbot that can generate text. * Notion: A note-taking and project management tool. * Python: A programming language. * Requests Library: A Python library for making HTTP requests. Steps: 1. Get Your Notion API Token: - Go to your Notion workspace settings. - Navigate to the "Integrations" tab. - Click "Create new integration" and choose "API Token". - Copy your API token. 2. Install Python Libraries: - Open your terminal or command prompt. - Type `pip install requests` and press Enter. 3. Write Python Script: - Create a new Python file (e.g., `save_chatgpt_to_notion.py`). - Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token: ```python import requests def save_chatgpt_response_to_notion(response, page_id, token): """Saves a ChatGPT response to a Notion page.""" url = f"https://api.notion.com/v1/pages/{page_id}/children" headers = {"Authorization": f"Bearer {token}"} data = { "parent": { "page_id": page_id }, "properties": { "title": { "title": [ { "text": { "content": "ChatGPT Response" } } ] }, "content": { "rich_text": [ { "text": { "content": response } } ] } } } response = requests.post(url, headers=headers, json=data) print(response.status_code) Example usage page_id = "YOUR_NOTION_PAGE_ID" token = "YOUR_NOTION_API_TOKEN" Get ChatGPT responses (replace with your actual ChatGPT interaction) chatgpt_responses = [ "This is the first ChatGPT response.", "This is the second ChatGPT response.", "This is the third ChatGPT response." ] Save each response to Notion for response in chatgpt_responses: save_chatgpt_response_to_notion(response, page_id, token) ``` 4. Run the Script: - In your terminal, navigate to the directory where you saved the Python file. - Type `python save_chatgpt_to_notion.py` and press Enter. 5. Check Notion: - Open your Notion workspace and go to the page specified by `page_id`. - You should see your ChatGPT responses saved as separate blocks.
Batch Save ChatGPT to Notion This is a guide on how to save multiple ChatGPT responses to Notion in a batch. Tools You'll Need: * ChatGPT: An AI chatbot that can generate text. * Notion: A note-taking and project management tool. * Python: A programming language. * Requests Library: A Python library for making HTTP requests. Steps: 1. Get Your Notion API Token: - Go to your Notion workspace settings. - Navigate to the "Integrations" tab. - Click "Create new integration" and choose "API Token". - Copy your API token. 2. Install Python Libraries: - Open your terminal or command prompt. - Type `pip install requests` and press Enter. 3. Write Python Script: - Create a new Python file (e.g., `save_chatgpt_to_notion.py`). - Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token: ```python import requests def save_chatgpt_response_to_notion(response, page_id, token): """Saves a ChatGPT response to a Notion page.""" url = f"https://api.notion.com/v1/pages/{page_id}/children" headers = {"Authorization": f"Bearer {token}"} data = { "parent": { "page_id": page_id }, "properties": { "title": { "title": [ { "text": { "content": "ChatGPT Response" } } ] }, "content": { "rich_text": [ { "text": { "content": response } } ] } } } response = requests.post(url, headers=headers, json=data) print(response.status_code) Example usage page_id = "YOUR_NOTION_PAGE_ID" token = "YOUR_NOTION_API_TOKEN" Get ChatGPT responses (replace with your actual ChatGPT interaction) chatgpt_responses = [ "This is the first ChatGPT response.", "This is the second ChatGPT response.", "This is the third ChatGPT response." ] Save each response to Notion for response in chatgpt_responses: save_chatgpt_response_to_notion(response, page_id, token) ``` 4. Run the Script: - In your terminal, navigate to the directory where you saved the Python file. - Type `python save_chatgpt_to_notion.py` and press Enter. 5. Check Notion: - Open your Notion workspace and go to the page specified by `page_id`. - You should see your ChatGPT responses saved as separate blocks.Save ChatGPT Conversations to Notion with One Click Export your ChatGPT conversations directly to Notion with a single click.
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![Midjourney API - Automate Midjourney AI Image Generation
This document outlines how to use the Midjourney API to automate the generation of AI images.
What is the Midjourney API?
The Midjourney API allows developers to programmatically interact with the powerful Midjourney AI model. This means you can generate images, control various parameters, and integrate Midjourney into your own applications and workflows.
Why Use the Midjourney API?
* Automation: Automate the creation of images for various purposes, such as marketing materials, website content, or research projects.
* Customization: Fine-tune image generation by controlling parameters like aspect ratio, style, and seed values.
* Integration: Seamlessly integrate Midjourney's capabilities into your existing tools and platforms.
Getting Started
1. Sign Up for a Midjourney Account: You'll need a Midjourney account to access the API.
2. Obtain an API Key: Once you have an account, you can generate an API key from your account settings.
3. Choose a Programming Language: The Midjourney API supports various programming languages, including Python, JavaScript, and Go.
4. Install the API Client: Install the appropriate API client library for your chosen language.
5. Start Generating Images: Use the API client to send image generation requests to the Midjourney server.
Example (Python):
```python
import midjourney
Replace with your actual API key
api_key = "YOUR_API_KEY"
Create a Midjourney client
client = midjourney.Client(api_key=api_key)
Generate an image
response = client.create_image(prompt="A cat wearing a hat", num_images=1)
Print the image URL
print(response.images[0].url)
```
Documentation and Resources
For detailed information about the Midjourney API, including available endpoints, parameters, and examples, please refer to the official documentation: [https://docs.midjourney.com/](https://docs.midjourney.com/)](https://static.right-ai.com/tools/2024/7/10/apiframe-pro-thumbnail-1720625482.png "Midjourney API - Automate Midjourney AI Image Generation
This document outlines how to use the Midjourney API to automate the generation of AI images.
What is the Midjourney API?
The Midjourney API allows developers to programmatically interact with the powerful Midjourney AI model. This means you can generate images, control various parameters, and integrate Midjourney into your own applications and workflows.
Why Use the Midjourney API?
* Automation: Automate the creation of images for various purposes, such as marketing materials, website content, or research projects.
* Customization: Fine-tune image generation by controlling parameters like aspect ratio, style, and seed values.
* Integration: Seamlessly integrate Midjourney's capabilities into your existing tools and platforms.
Getting Started
1. Sign Up for a Midjourney Account: You'll need a Midjourney account to access the API.
2. Obtain an API Key: Once you have an account, you can generate an API key from your account settings.
3. Choose a Programming Language: The Midjourney API supports various programming languages, including Python, JavaScript, and Go.
4. Install the API Client: Install the appropriate API client library for your chosen language.
5. Start Generating Images: Use the API client to send image generation requests to the Midjourney server.
Example (Python):
```python
import midjourney
Replace with your actual API key
api_key = \"YOUR_API_KEY\"
Create a Midjourney client
client = midjourney.Client(api_key=api_key)
Generate an image
response = client.create_image(prompt=\"A cat wearing a hat\", num_images=1)
Print the image URL
print(response.images[0].url)
```
Documentation and Resources
For detailed information about the Midjourney API, including available endpoints, parameters, and examples, please refer to the official documentation: [https://docs.midjourney.com/](https://docs.midjourney.com/)")
Midjourney API - Automate Midjourney AI Image Generation This document outlines how to use the Midjourney API to automate the generation of AI images. What is the Midjourney API? The Midjourney API allows developers to programmatically interact with the powerful Midjourney AI model. This means you can generate images, control various parameters, and integrate Midjourney into your own applications and workflows. Why Use the Midjourney API? * Automation: Automate the creation of images for various purposes, such as marketing materials, website content, or research projects. * Customization: Fine-tune image generation by controlling parameters like aspect ratio, style, and seed values. * Integration: Seamlessly integrate Midjourney's capabilities into your existing tools and platforms. Getting Started 1. Sign Up for a Midjourney Account: You'll need a Midjourney account to access the API. 2. Obtain an API Key: Once you have an account, you can generate an API key from your account settings. 3. Choose a Programming Language: The Midjourney API supports various programming languages, including Python, JavaScript, and Go. 4. Install the API Client: Install the appropriate API client library for your chosen language. 5. Start Generating Images: Use the API client to send image generation requests to the Midjourney server. Example (Python): ```python import midjourney Replace with your actual API key api_key = "YOUR_API_KEY" Create a Midjourney client client = midjourney.Client(api_key=api_key) Generate an image response = client.create_image(prompt="A cat wearing a hat", num_images=1) Print the image URL print(response.images[0].url) ``` Documentation and Resources For detailed information about the Midjourney API, including available endpoints, parameters, and examples, please refer to the official documentation: [https://docs.midjourney.com/](https://docs.midjourney.com/)
Midjourney API - Automate Midjourney AI Image Generation This document outlines how to use the Midjourney API to automate the generation of AI images. What is the Midjourney API? The Midjourney API allows developers to programmatically interact with the powerful Midjourney AI model. This means you can generate images, control various parameters, and integrate Midjourney into your own applications and workflows. Why Use the Midjourney API? * Automation: Automate the creation of images for various purposes, such as marketing materials, website content, or research projects. * Customization: Fine-tune image generation by controlling parameters like aspect ratio, style, and seed values. * Integration: Seamlessly integrate Midjourney's capabilities into your existing tools and platforms. Getting Started 1. Sign Up for a Midjourney Account: You'll need a Midjourney account to access the API. 2. Obtain an API Key: Once you have an account, you can generate an API key from your account settings. 3. Choose a Programming Language: The Midjourney API supports various programming languages, including Python, JavaScript, and Go. 4. Install the API Client: Install the appropriate API client library for your chosen language. 5. Start Generating Images: Use the API client to send image generation requests to the Midjourney server. Example (Python): ```python import midjourney Replace with your actual API key api_key = "YOUR_API_KEY" Create a Midjourney client client = midjourney.Client(api_key=api_key) Generate an image response = client.create_image(prompt="A cat wearing a hat", num_images=1) Print the image URL print(response.images[0].url) ``` Documentation and Resources For detailed information about the Midjourney API, including available endpoints, parameters, and examples, please refer to the official documentation: [https://docs.midjourney.com/](https://docs.midjourney.com/)Easily integrate Midjourney AI into your apps using the Midjourney API. Start creating AI images automatically today!
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