Email Insights

Advanced email content analysis and entity extraction capabilities. Delpha's Email Insight solution systematically analyzes email bodies to identify and extract critical contact information, professional details, and contextual insights that can transform how you understand and interact with your contacts.

This solution leverages advanced natural language processing and machine learning to extract structured data from unstructured email content, including contact information, professional details, and business context. The extracted insights enhance data quality, enable smarter interactions, and drive informed business decisions.

Perfect for CRM enrichment, lead generation, business intelligence applications, and any use case requiring automated extraction of valuable information from email communications.

Get email insights from an email body

post

Extract name, title, company, phone number, and more from an email body.

Authorizations
Body

Input model for email insights extraction.

email_bodiesstring[]Required

The body text of the email to analyze for insights.

Example: ["Hi Sarah,\n\nThanks for your email about the Q2 sales projections. I've reviewed the numbers and they look promising.\n\nJust a heads up - I'll be traveling for a conference from June 10th through June 14th, so my response times might be a bit slower than usual. You can still reach me on my mobile (555) 123-4567, or if it's urgent, feel free to call the office at (555) 123-0000 and ask for my assistant.\n\nLet's schedule a follow-up call when I'm back to discuss the next steps.\n\nBest regards,\nJohn\n\n--\nJohn Doe\nSenior Account Manager | Sales Department\nAcme Corporation\n123 Main St, Springfield, USA\nMobile: (555) 123-4567 | Office: (555) 123-0000\n\nLinkedIn: https://linkedin.com/in/johndoe\nTwitter: https://twitter.com/johndoe\n\nFollow us:\nLinkedIn: https://linkedin.com/company/acmecorp\nFacebook: https://facebook.com/acmecorporation"]
Responses
200

Email insights extracted successfully for 2 emails.

application/json
post
POST /v1/email-insights HTTP/1.1
Host: api.delpha.io
Authorization: Bearer YOUR_OAUTH2_TOKEN
Content-Type: application/json
Accept: */*
Content-Length: 877

{
  "email_bodies": [
    "Hi Sarah,\n\nThanks for your email about the Q2 sales projections. I've reviewed the numbers and they look promising.\n\nJust a heads up - I'll be traveling for a conference from June 10th through June 14th, so my response times might be a bit slower than usual. You can still reach me on my mobile (555) 123-4567, or if it's urgent, feel free to call the office at (555) 123-0000 and ask for my assistant.\n\nLet's schedule a follow-up call when I'm back to discuss the next steps.\n\nBest regards,\nJohn\n\n--\nJohn Doe\nSenior Account Manager | Sales Department\nAcme Corporation\n123 Main St, Springfield, USA\nMobile: (555) 123-4567 | Office: (555) 123-0000\n\nLinkedIn: https://linkedin.com/in/johndoe\nTwitter: https://twitter.com/johndoe\n\nFollow us:\nLinkedIn: https://linkedin.com/company/acmecorp\nFacebook: https://facebook.com/acmecorporation"
  ]
}
{
  "results": [
    {
      "name": "John Doe",
      "phone": "+15551230000",
      "mobile": "+15551234567",
      "title": "Senior Account Manager",
      "company": "Acme Corporation",
      "department": "Sales",
      "address": "123 Main St, Springfield, USA",
      "social_media": [
        {
          "name": "LinkedIn",
          "url": "https://linkedin.com/in/johndoe",
          "owner": "sender"
        }
      ],
      "out_of_office": {
        "status": true,
        "start_date": "2024-06-10",
        "end_date": "2024-06-14"
      },
      "confidence": 0.95
    }
  ],
  "message": "Email insights extracted successfully for 2 emails.",
  "status": "SUCCESS",
  "status_code": 200
}
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