Recally is a powerful screenshot management app for macOS that offers a comprehensive suite of features for capturing, organizing, browsing, and searching screenshots. With advanced capabilities like real-time OCR, image segmentation, and AI-driven visual search, Recally provides users with a secure and efficient solution for managing their visual information.
Recally - The Best Screenshot Management App for macOS
Recally is the best app to manage your screenshots on macOS. Organize, browse, and search your screenshots with ease. Available on macOS.
Introduction
Feature
High-Security Encryption
All data, including the database, screenshots, and app icons, are encrypted using Apple-supported ChaCha20-Poly1305 encryption, ensuring maximum security for user information.
Real-Time OCR Technology
Recally employs Optical Character Recognition (OCR) to instantly extract and process text content from screenshots, enhancing searchability and organization.
AI-Powered Image Segmentation
The app utilizes advanced image segmentation techniques to identify and categorize different elements within screenshots, improving organization and searchability.
Intelligent URL Linking
Recally supports AppleScript automation to retrieve URLs from currently opened tabs in Safari and Chrome, allowing for seamless integration with web browsing activities.
Versatile Search Capabilities
Text-Based OCR Search
Users can easily search through screenshot content using OCR-extracted text, making it simple to find specific information.
AI-Driven Visual Search
Recally's cutting-edge AI technology enables users to find images by matching text descriptions, revolutionizing the way screenshots are organized and retrieved.
Offline Functionality
The app operates entirely offline, ensuring that user data remains on the device and is never uploaded to the cloud, providing an additional layer of privacy and security.
User-Friendly Interface
Recally offers an intuitive interface for effortless screenshot capture, organization, browsing, and searching, making it accessible to users of all skill levels.
FAQ
How do I start using Recally?
To begin using Recally, download the app on your macOS device. Once installed, you can start taking screenshots using the keyboard shortcut Command + Shift + S. The app will then allow you to organize, browse, and search your screenshots effortlessly.
Is my data secure when using Recally?
Yes, Recally prioritizes user data security. All data, including the database, screenshots, and app icons, are encrypted using Apple-supported ChaCha20-Poly1305 encryption. Additionally, the app operates completely offline, ensuring that your data never leaves your device.
Can I use Recally without an internet connection?
Absolutely. Recally is designed to function entirely offline, meaning all features and functionalities are available without requiring an internet connection. This ensures both privacy and convenience for users.
How can I contact Recally support if I need assistance?
If you require support or have any questions about Recally, you can reach out to their support team via email at [email protected].
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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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Text to Voice Generator ========================== A text-to-voice generator, also known as a text-to-speech (TTS) system, is a software that converts written text into a spoken voice output. This technology has been widely used in various applications, including virtual assistants, audiobooks, and language learning platforms. How it Works --------------- The process of generating voice from text involves several steps: 1. Text Analysis: The input text is analyzed to identify the language, syntax, and semantics. 2. Phonetic Transcription: The text is converted into a phonetic transcription, which represents the sounds of the spoken language. 3. Prosody Generation: The phonetic transcription is then used to generate the prosody, or rhythm and intonation, of the spoken voice. 4. Waveform Generation: The prosody and phonetic transcription are combined to generate the audio waveform, which is the final spoken voice output. Types of Text-to-Voice Generators ----------------------------------- There are two main types of text-to-voice generators: Rule-Based Systems These systems use a set of predefined rules to generate the spoken voice output. They are often limited in their ability to produce natural-sounding voices and may sound robotic. Machine Learning-Based Systems These systems use machine learning algorithms to learn from large datasets of spoken voices and generate more natural-sounding voices. They are often more advanced and can produce high-quality voice outputs. Applications of Text-to-Voice Generators ----------------------------------------- Text-to-voice generators have a wide range of applications, including: Virtual Assistants Virtual assistants, such as Siri and Alexa, use text-to-voice generators to respond to user queries. Audiobooks Text-to-voice generators can be used to create audiobooks from written texts, making it easier for people to access written content. Language Learning Language learning platforms use text-to-voice generators to provide pronunciation guidance and practice exercises for learners. Accessibility Text-to-voice generators can be used to assist people with disabilities, such as visual impairments, by providing an auditory interface to written content.
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