AI Lead Capture Email Parser

Automatically extract lead information, contact details, and inquiry data from emails with 99% accuracy using advanced AI technology.

Start for free →
Parsed email with lead data

Why Automate Lead Data Extraction?

Managing leads is crucial for any business. Extracting data from emails and forms manually can take a lot of time and lead to errors.

Manual data entry has limitations:

  • It's time-consuming
  • Errors can happen
  • It slows down follow-ups with leads

Automation solves these problems. By using Airparser, you can extract lead data quickly and send it directly to your CRM. This ensures your sales team has up-to-date information to act on.

What is Airparser?

Airparser is an advanced GPT-powered document parser. It can extract data from almost any document, including emails, PDFs, and even handwritten notes. No matter the format or layout, Airparser handles it seamlessly. For example, it can parse invoices from multiple vendors, each with a different design.

Key Features of Airparser:

  • Custom Extraction Schema: Define the fields you need, and Airparser extracts the data.
  • Supports All Formats: Emails, PDFs, forms, and more.
  • Integration Options: Export data to 6,000+ apps via Zapier and Make.
  • Advanced Tools: Use APIs and webhooks for custom workflows.
  • Inbox for Documents: Forward documents to Airparser, and it does the rest.

Airparser's custom AI technology uses LLM and vision models to process lead emails like a sales professional would, automatically identifying and extracting key information such as:

  • Contact name and email address
  • Phone numbers and company information
  • Inquiry type and message content
  • Budget and project requirements
  • Timeline and urgency indicators
  • Source and referral information

Transform Your Lead Capture Process

90%
Faster lead processing
99%
Data extraction accuracy
3x
More leads captured

Complete Lead Data Extraction

Extract Every Lead Detail

Contact Information

Name, email, phone, company, job title, LinkedIn profile

Company Details

Company name, industry, size, website, location

Inquiry Information

Message content, inquiry type, product interest, questions

Budget & Requirements

Budget range, project scope, timeline, urgency

Lead Scoring Data

Lead source, referral info, engagement level, priority

Sample Extracted Data:

JSON
{
  "contact": {
    "name": "Sarah Johnson",
    "email": "[email protected]",
    "phone": "+1 (555) 123-4567",
    "company": "Tech Solutions Inc.",
    "job_title": "Marketing Director",
    "linkedin": "linkedin.com/in/sarahjohnson"
  },
  "inquiry": {
    "type": "Product Inquiry",
    "message": "Interested in learning more about your document parsing solution",
    "budget": "$10,000 - $25,000",
    "timeline": "Within 30 days",
    "urgency": "High"
  },
  "source": {
    "referral_source": "Website contact form",
    "campaign": "Q1 Marketing Campaign",
    "landing_page": "www.example.com/pricing"
  }
}

How Airparser Works

Airparser uses AI to analyze and extract key data points. Here's how it works:

  1. Set Up a Schema: List the fields you want to extract, like name, email, or phone number.
  2. Forward Documents: Send emails or forms to your Airparser inbox.
  3. Automate: Use Zapier or Make to connect Airparser to your CRM.

Airparser can handle complex layouts, including handwritten notes and tables.

Connecting Airparser to Your CRM

Exporting data to your CRM is easy with Zapier or Make. Here's a quick step-by-step process.

Step 1: Configure Airparser

Set up a parsing schema to extract lead data. You can include fields like:

  • • Full Name
  • • Email Address
  • • Company Name
  • • Phone Number

Step 2: Set Up Automation

Use Zapier or Make to create a workflow. For example:

  • Trigger: A new email or document arrives in Airparser.
  • Action: Send the extracted data to your CRM, such as Pipedrive or HubSpot.

Step 3: Test and Deploy

Run tests to ensure data flows smoothly. Once it works, your process is automated.

Benefits of Using Airparser for Lead Management

Time Savings

Focus on selling instead of data entry. Automate the entire lead capture process.

Accuracy

Reduce errors with AI-driven extraction. Get clean, structured data every time.

Flexibility

Adapt Airparser for any business need. Works with emails, forms, PDFs, and more.

Integration

Connect with tools you already use, like CRMs and project management platforms.

Who Should Use Airparser?

Sales Teams

Quickly access lead data and close deals faster. Automatically add leads to your CRM.

Marketing Teams

Manage form submissions and campaign leads efficiently. Never miss a lead.

Small Businesses

Automate workflows and save time. Focus on growing your business instead of data entry.

If you work with forms, emails, or documents regularly, Airparser can simplify your processes.

Integrate with Your Sales Workflow

Connect your lead capture parser with the tools you already use for seamless automation.

HubSpotHubSpot
Google SheetsGoogle Sheets
SlackSlack
WebhooksWebhooks
Google DriveGoogle Drive
QuickBooksQuickBooks

And 6000+ more integrations via Zapier and Make

Frequently Asked Questions

How accurate is the lead capture parsing?

Our AI-powered lead capture parser achieves 99% accuracy on most email formats. The system continuously learns and improves, handling even complex, unstructured emails with human-like understanding.

What email formats do you support?

We support all email formats - Gmail, Outlook, custom email servers, contact form submissions, and forwarded emails. Our AI adapts to any email structure automatically.

How does it integrate with my CRM?

Airparser integrates with most CRM systems via API, webhooks, or through Zapier and Make.com for 7000+ app connections including HubSpot, Salesforce, and Pipedrive.

Is there a free trial available?

Yes! We offer a free trial that lets you test all features and process lead emails without limitations. Upgrade only when you need more capacity or advanced features.

Ready to grow your business? This is where you start.