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Auto-monitor mailbox → extract structured data → insert into your database 24/7. Monitor your mailbox for specific emails — orders, inquiries, invoices, reports — and automatically extract the relevant structured data (names, amounts, dates, line items), then insert it directly into your database or ERP. Works with email body text, HTML emails, and PDF/Excel attachments.
Monitor your mailbox for specific emails — orders, inquiries, invoices, reports — and automatically extract the relevant structured data (names, amounts, dates, line items), then insert it directly into your database or ERP. Works with email body text, HTML emails, and PDF/Excel attachments.
Built on Python, LangChain, and OpenAI GPT-4 with IMAP for mailbox monitoring, PyPDF2 and openpyxl for attachment parsing, and SQLAlchemy + PostgreSQL for reliable database insertion — the system eliminates 3-5 hours/day of manual email data entry with 98% extraction accuracy.
3-5 hrs/day Saved
Manual Email Entry
From mailbox monitoring to database insertion — every step of the email data extraction pipeline, automated end-to-end.
Continuous IMAP-based monitoring of your mailbox — filters by sender, subject, and keywords to capture only the emails that matter, around the clock.
AI extracts structured data from plain-text bodies, HTML emails, and attachments — names, amounts, dates, line items — with 98% accuracy, no manual scanning.
PyPDF2 and openpyxl parse PDF and Excel attachments — extracting tables, line items, and fields from invoices, reports, and spreadsheets automatically.
Extracted data is cleaned, typed, and normalized — dates parsed, currencies unified, names standardized — so your database receives consistent, validated records.
SQLAlchemy writes structured records directly into PostgreSQL, MySQL, or any database — and pushes to ERP/CRM systems via API with zero manual import steps.
Every extraction, insertion, and failure is logged and surfaced in real-time — Slack/email alerts notify your team the moment data lands or something needs attention.
A robust pipeline of LLM orchestration, mailbox monitoring, and database sync — engineered for production-grade reliability.
Stop spending hours on manual email data entry. Let AI handle the extraction while your team focuses on what actually moves the business forward.
Every name, amount, date, and line item is extracted automatically — your team never copies data from an email into a spreadsheet or system again.
The pipeline runs around the clock — orders, inquiries, and invoices are captured and synced while you sleep, with no human intervention required.
AI extracts and validates data with 98% accuracy — no typos, no missed fields, no misaligned columns — your database receives clean, consistent records every time.
Extracted data flows directly into your CRM, ERP, or database in real-time — no export/import lag, no duplicate entries, no stale records sitting in an inbox.
A streamlined pipeline that takes any relevant email and produces clean, structured records inserted directly into your database.
The system continuously monitors your mailbox via IMAP, filtering by sender, subject, and keywords to surface only the emails that contain actionable data.
AI extracts structured data from the email body, HTML, and attachments — PDFs parsed with PyPDF2, Excel sheets with openpyxl — capturing every relevant field.
Data is cleaned, typed, and validated — dates parsed, currencies unified, required fields checked — so only consistent, accurate records proceed to insertion.
Validated records are inserted directly into your database or ERP via SQLAlchemy, and your team is alerted in real-time — with full logging for every transaction.
Any provider with IMAP access — Gmail, Outlook, Yahoo, Office 365, and custom mail servers. The system connects via standard IMAP and monitors the mailboxes you specify, filtering by sender, subject, and keywords.
Yes. PyPDF2 handles PDF attachments — invoices, reports, statements — and openpyxl parses Excel sheets, extracting tables and line items. The AI understands the structure of each attachment and extracts fields accordingly.
OpenAI GPT-4 via LangChain reads the email body — plain text or HTML — and extracts structured data semantically, understanding context to pull names, amounts, dates, and line items even from free-form messages with no fixed template.
Absolutely. SQLAlchemy supports PostgreSQL, MySQL, SQL Server, SQLite, and most major databases. We map extracted fields to your schema and insert records directly — or push to your ERP/CRM via API if that's your preferred route.
Failed extractions are logged and flagged for human review — your team gets a real-time alert with the original email attached, so nothing is lost. Celery + Redis handle retries automatically, and every event is traceable end-to-end.
Book a consultation and see how Email Data Extraction & DB Sync can eliminate 3-5 hours/day of manual email data entry — with 98% extraction accuracy and 24/7 unattended operation.
