Monitor uploads, convert images to Base64, extract text with Mistral OCR, map fields with GPT-4o-mini, validate data, and upsert into an n8n Data Table to generate structured, searchable contact records.
This AI agent accepts scanned or image-based business cards and converts them into a consistent, structured contact record. It uses Mistral OCR to extract text, a GPT-4o-mini-based interpreter to map fields, and a data validator to ensure correctness. The final output is upserted into an n8n Data Table, enabling instant search and deduplication without manual entry.
Performs end-to-end card-to-record conversion and storage.
Accepts card uploads via a public web form.
Converts uploaded cards to Base64 for processing.
Extracts text using Mistral OCR to capture all visible details.
Parses OCR output into structured fields (name, email, phone, company).
Validates and normalizes data against a predefined schema.
Upserts records into an n8n Data Table using email as the key.
This AI agent replaces manual data entry with automated extraction and validation. Before → 5 real pain points are addressed, After → 5 concrete outcomes are achieved.
A simple 3-step flow that non-technical users can follow.
Upload a card via a public web form; the AI agent reads and prepares the image for processing.
OCR extracts text and the GPT-4o-mini-based interpreter maps it to structured fields.
Validate data, upsert into the Data Table, and log the result for auditing.
A realistic scenario showing timing and outcomes.
A sales representative uploads 20 business cards after a conference. The AI agent processes each card, extracting names, emails, and companies, validating data, and upserting 18 complete records into the 'business_cards' Data Table within minutes, while flagging 2 entries with missing emails for manual follow-up.
Roles that gain fast, reliable contact data from cards.
Need rapid, accurate new lead data from business card scans.
Wants a centralized, deduplicated contact list sourced from events.
Regularly collects candidate details from career fairs and conferences.
Manages contact information across multiple teams and apps.
Captures attendee details and organizes follow-ups automatically.
Keeps a clean, centralized contact database without manual entry.
Tools work inside and around the AI agent to automate data capture.
Extracts text from card images; feeds into the AI agent for parsing.
Interprets OCR text and maps it to structured fields (name, email, etc.).
Stores and upserts contact records using email as the unique key.
Public upload endpoint to feed business cards into the AI agent.
Common scenarios where the AI agent shines.
Practical answers to common concerns.
The AI agent accepts PDFs and image files (JPG, PNG, or TIFF). It can also handle mixed batches by processing each card individually. If a page cannot be read clearly, the system will mark that card for manual review. You can set image quality thresholds to minimize low-confidence extractions.
Manual review is optional but recommended for incomplete records or low-confidence extractions. The AI agent flags entries with missing fields or uncertain values and provides a suggested correction interface. Review can be automated on a schedule or triggered per batch. This keeps data quality high while minimizing effort.
OCR accuracy depends on image quality and card design; Mistral OCR is robust for typical cards. GPT-4o-mini adds semantic mapping to extract names, emails, and phones reliably. The parser validates ranges (emails, phones) and normalizes formats. You can tune confidence thresholds to balance speed and precision.
Yes. The AI agent maps extracted data to a predefined schema, which you can adjust to include or remove fields. Changes propagate through the mapping step so outputs stay consistent. You can also add validation rules and normalization logic. This ensures compatibility with your existing data models.
Duplicates are prevented by using the email as a unique key during the upsert. If a duplicate appears, the agent updates the existing record with new data where appropriate. You can enable rules to merge fields or keep the latest version. Regular deduplication runs can be scheduled.
Yes. The AI agent is designed to integrate with open APIs and common data stores. You can extend it to pull data from email attachments, PDFs, or other scans and then consolidate into your Data Table. You can also route outputs to downstream systems via webhooks or additional actions.
Data security is ensured through API keys, restricted access to the n8n Data Table, and encrypted data in transit. You can enforce least-privilege credentials and rotate keys regularly. Audit logs capture who uploaded which card and when, supporting compliance needs.
Monitor uploads, convert images to Base64, extract text with Mistral OCR, map fields with GPT-4o-mini, validate data, and upsert into an n8n Data Table to generate structured, searchable contact records.
