This is a flow to upload files posted in a Slack channel to OneDrive. By automatically uploading files posted on Slack to OneDrive, there is no need for manual downloading and uploading, significantly improving work efficiency.

In this flow, it is possible to read uploaded images from Dropbox using OCR and automatically add them to Notion. This automation streamlines the file management that was previously done manually, reducing time and effort and improving work efficiency.

When you upload a receipt to the input form, this flow bot uses OCR to read the contents of the receipt and automatically stores the extracted information in a Google Spreadsheet. You can also upload files from a smartphone, allowing you to take a picture of the receipt with your phone and upload the file directly.‍

The flow involves reading receipts received via email using OCR and registering them in a Notion database. This reduces the workload for accounting staff, prevents data entry omissions, and speeds up information sharing, thereby enabling efficient centralized expense management in Notion.

The flow involves reading invoice information received via email using AI-OCR and adding it to the Notion database. This eliminates the need for manual data entry, significantly improving operational efficiency. By reducing the risk of human error, more accurate invoice management becomes possible.

In this workflow, it is possible to read files attached to a form using OCR and create folders in Canva. This process reduces the hassle of manual data entry and folder management, thereby improving operational efficiency.

This is a flow where document data received in Outlook is read using OCR, the file name is updated, and then stored in OneDrive. The file name is automatically changed based on pre-settings, enabling systematic file management and making file searches easier.

This is a flow where document data received in Outlook is read using OCR, the file name is updated, and then stored in Microsoft SharePoint. The file name is automatically changed based on pre-settings, enabling systematic file management and easy file search.

The flow involves reading document data received in Outlook using OCR, updating the file name, and storing it in Dropbox. Based on pre-configured settings, the file name is automatically changed, enabling systematic file management and making file searches easier.

The flow involves reading document data received in Outlook using OCR, updating the file name, and storing it in Box. Based on pre-configured settings, the file name is automatically changed, enabling systematic file management and making file searches easier.

A flow that reads business card images submitted via Google Forms using OCR, adds the data to Microsoft Excel, and sends a thank-you email via Outlook. This allows for smooth lead approaches, marketing analysis, and customer follow-ups.

The flow involves reading business card images submitted through Google Forms using OCR, adding the data to Google Sheets, and sending a thank-you email via Gmail. This process facilitates smooth lead approaches, marketing analysis, and follow-ups with customers.

A flow that reads business card images submitted through a form using OCR, adds the data to Microsoft Excel, and sends a thank-you email via Outlook. This allows for smooth lead approaches, marketing analysis, and follow-ups with customers.

A flow that reads business card images submitted through a form using OCR, adds the data to a Google Spreadsheet, and sends a thank-you email via Outlook. This allows for smooth lead approach, marketing analysis, and follow-up with customers.

This flow involves reading a business card image attached to a Google Form using OCR and adding a card to Trello. By using this flow, the task of transferring information becomes unnecessary, thereby improving work efficiency. Automation reduces manual work, which also helps in minimizing human errors.

The workflow automatically analyzes attachments received via Google Forms using OCR and immediately notifies Discord. This reduces manual processing and improves the speed and accuracy of information sharing.

This is a business workflow that reads attachments submitted via Google Forms using OCR and adds them to Microsoft Excel. It reduces the time and effort required for manual data entry and organization, enabling efficient and accurate data management.

This is a business workflow that reads Outlook attachments using OCR and automatically adds them to Microsoft Excel. It reduces the hassle of data organization and improves operational efficiency.

This is a business workflow that reads PNG files received via Google Forms using OCR and automatically adds them to a Google Spreadsheet. It eliminates the need for manual data entry, improving the efficiency and accuracy of data management.

The flow involves reading PDF files (such as delivery notes and invoices) attached to the Yoom form using OCR, storing them in Microsoft Excel, and notifying via Slack. This process eliminates the need to manually store the information from the obtained PDF data into the Microsoft Excel database, as all steps are automatically performed just by attaching and sending the PDF file through the form.

The workflow involves reading English documents stored in Box using OCR and automatically adding them to Google Sheets. This reduces the hassle of manual data entry and supports efficient data organization.

When you submit resume data through the form, the AI automatically reads the necessary information, stores it in a Google Spreadsheet, and sends a notification to Google Chat. This flow allows you to add information to the database quickly and accurately without manually entering the contents of the resume.‍

It is a flow that reads receipts received in Gmail using OCR and registers them in a Notion database. This reduces the workload of accounting personnel and prevents data entry omissions, while also speeding up information sharing, thereby enabling efficient centralized expense management in Notion.

When you upload a file to Microsoft SharePoint, it is automatically analyzed by OCR and a notification is sent to Slack. This streamlines information sharing within the team and reduces the need for manual verification tasks.