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.

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lockRequired scopes
This endpoint requires the following scopes:
  • : Access to the public API
Authorizations
OAuth2clientCredentialsRequired

OAuth2 client credentials flow for API access

Token URL:
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
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200

Email insights extracted successfully for 2 emails.

application/json

Output model for extracted email insights.

resultsany ofOptional

The extracted insights from the emails if successful, otherwise None.

Example: [{"address":"123 Main St, Springfield, USA","company":"Acme Corporation","confidence":0.95,"department":"Sales","mobile":"+15551234567","name":"John Doe","out_of_office":{"end_date":"2024-06-14","start_date":"2024-06-10","status":true},"phone":"+15551230000","social_media":[{"name":"LinkedIn","owner":"sender","url":"https://linkedin.com/in/johndoe"}],"title":"Senior Account Manager"}]
or
nullOptional
messagestringRequired

The message to return to the user.

Example: Email insights extracted successfully for 2 emails.
statusstring · enumRequired

The status of the process

Example: SUCCESSPossible values:
status_codeintegerRequired

The status code to return to the user.

Example: 200
post
/v1/email-insights

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