Google Translate + Reply Integration

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create note in OneNote with the translated content. It helps capture and organize translated Reply messages for reference or collaboration in OneNote.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. Google Translate: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. {{action.3.Appp}}: The automation will translate the text content from Reply to your desired language.
5. OneNote: The translated content will be used to Create note in OneNote, allowing you to store and access the translated SMS messages in a structured manner for reference or collaboration. Make sure you specify the section, and other relevant details for organizing the translated messages.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create a record (Custom Table) in CompanyHub with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. CompanyHub: The translated content will be used to Create a record (Custom Table) in CompanyHub, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the CompanyHub, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create row in Stackby with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. Stackby: The translated content will be used to Create row in Stackby, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the Stackby, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create record in Ninox with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. Ninox: The translated content will be used to Create record in Ninox, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the Ninox, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create record in Grist with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. Grist: The translated content will be used to Create record in Grist, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the Grist, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create row in Google BigQuery with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. Google BigQuery: The translated content will be used to Create row in Google BigQuery, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the Google BigQuery, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create or Update Record in Zoho Recruit with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. Zoho Recruit: The translated content will be used to Create or Update Record in Zoho Recruit, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the Zoho Recruit, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create record in Zoho Creator with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. Zoho Creator: The translated content will be used to Create record in Zoho Creator, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the Zoho Creator, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Update row (WorkDrive) in Zoho Sheet with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. Zoho Sheet: The translated content will be used to Update row (WorkDrive) in Zoho Sheet, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the Zoho Sheet, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create spreadsheet row in Google Sheets with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. Google Sheets: The translated content will be used to Create spreadsheet row in Google Sheets, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the Google Sheets, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create database item in Notion with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. Notion: The translated content will be used to Create database item in Notion, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the Notion, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create row in SeaTable with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. SeaTable: The translated content will be used to Create row in SeaTable, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the SeaTable, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Import data in EasyCSV with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. EasyCSV: The translated content will be used to Import data in EasyCSV, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the EasyCSV, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create data thing in Bubble with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. Bubble: The translated content will be used to Create data thing in Bubble, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the Bubble, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create record in NetHunt CRM with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. NetHunt CRM: The translated content will be used to Create record in NetHunt CRM, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the NetHunt CRM, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create row in MySQL with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. MySQL: The translated content will be used to Create row in MySQL, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the MySQL, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create row in PostgreSQL with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. PostgreSQL: The translated content will be used to Create row in PostgreSQL, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the PostgreSQL, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create record in SmartSuite with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. SmartSuite: The translated content will be used to Create record in SmartSuite, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the SmartSuite, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Create row in SQL Server with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. SQL Server: The translated content will be used to Create row in SQL Server, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the SQL Server, and column values for storing the translated message.

This automation allows you to automatically detect the language when Email is sent in Reply, translate it to a different language using Google Translate, and Delete record in Airtable with the translated content. It helps centralize and store translated Reply messages for further analysis or record-keeping.

Here's how it works:
 1. Reply: Whenever Email is sent, the automation will be triggered.
 2. {{Language Detection}}: Pass the text content from Reply to Google Translate for language detection.
 3. Condition - You can add a condition that says, Language..... 'is not equal to'..... your desired language. So if the condition is met, the automation will proceed further.
 4. Google Translate: The automation will translate the text content from Reply to your desired language.
5. Airtable: The translated content will be used to Delete record in Airtable, allowing you to store and analyze the translated Reply messages in a structured manner. Make sure you specify the Airtable, and column values for storing the translated message.