End-to-end digitization of LINE-submitted business cards with automated data extraction.
The AI agent receives a LINE image of a business card and routes it to OCR processing. It uses Google Gemini to extract text, parses it into structured fields, and appends the data to Google Sheets. It stores the original image on Drive, emails a confirmation, and replies with the extracted data via LINE.
Performs end-to-end card capture and data entry.
Receive a single LINE image of a business card.
OCR the image with Google Gemini to extract text.
Parse extracted text into structured fields (Company, Name, Department, Email, Phone, Address).
Append the structured data to Google Sheets.
Upload the original image to Google Drive for reference.
Reply with the extracted data via LINE and send a confirmation email.
Before this AI agent, manual data entry from each card is slow and error-prone. After adopting it, data is captured accurately in Sheets, the image is archived in Drive, and you receive a LINE reply with the extracted data and a confirmation email.
Three-step system flow.
The user sends a single business card image to the LINE bot, triggering the AI agent.
The AI agent runs Google Gemini OCR on the image and parses the text into structured fields.
The AI agent appends data to Google Sheets, uploads the image to Drive, sends a confirmation email, and replies with the extracted data in LINE.
One realistic scenario.
A salesperson receives a business card image via LINE at 9:01 AM. The AI agent processes the image in under 60 seconds, extracting the company, contact name, position, email, and phone. The data is appended to Google Sheets, the image is archived in Google Drive, a Gmail confirmation is sent, and the LINE reply displays the extracted data for quick validation.
Who gains from this AI agent.
Need quick capture of visitor or prospect details from cards.
Must log new contacts while on-site with minimal steps.
Require centralized, up-to-date contact records.
Seek consistent data formats and audit trails.
Need to enrich CRM with leads captured from events.
Capture candidate cards and compile contact details quickly.
Tools used inside the AI agent workflow.
Receives the business card image and triggers the AI agent workflow.
Extracts text from the card image for parsing into fields.
Stores parsed contact data in a structured, searchable format.
Archives the original card image for reference.
Sends a confirmation email with extracted data to the user.
Practical scenarios where the AI agent shines.
Common questions and concrete answers.
The AI agent processes one image per execution. To handle additional cards, submit subsequent images in separate runs. If batch processing is required, you can trigger multiple sequential executions or adjust the workflow to loop over a queue of images. Each run remains independent to keep the data clean and auditable.
Google Gemini OCR supports a broad set of languages. Accuracy improves with card clarity and standard layouts. If a card uses unusual fonts or non-Latin scripts, expect occasional recognition errors and plan to verify critical fields.
Extracted data lives in the configured Google Sheets document. The original image is stored in Google Drive. Access is controlled by your Google account permissions and LINE integration settings. You can restrict access to specific teammates and audit changes through Sheets history.
If a field looks incorrect, you can manually re-submit the card image or adjust parsing rules in the AI agent. The system will append a new row for the corrected data while preserving the original entry for traceability. You can also add a verification step in the process to prompt the user for confirmation.
You’ll need a LINE Messaging API channel, a Google Gemini API key, Google Sheets and Drive access, and a Gmail account. Configure credentials in the AI agent and register the LINE webhook URL in your LINE channel settings. Activate the agent and test with a single card image to confirm end-to-end flow.
Yes. You can modify the parsing logic to capture different fields or formats. The destination can be changed from Google Sheets to a CRM, database, or another storage option. Reformatting outputs is straightforward to align with your existing data model.
Yes. Use a test LINE channel and a sample card image to simulate end-to-end processing. Validate each stage: image reception, OCR results, data parsing, spreadsheet write, and LINE/email responses. This helps ensure data integrity and reduces surprises in production.
End-to-end digitization of LINE-submitted business cards with automated data extraction.
