Actions132
- AI Actions
- Extract Text From Document
- Check Content Policy
- Detect Adult Content
- Detect Brand
- Detect Color
- Detect Email Type
- Detect Faces
- Extract Entities
- Extract Contact Information
- Extract Customizable Information From Text
- Fuzzy Text Matcher
- Generate Image
- Generate JavaScript Code
- Generate Python Code
- Detect Language
- Detect Mood
- Extract Text From PDF
- Recognize Objects in Image
- Extract Text From Image
- Redact Sensitive Information From PDF
- Remove Background Image
- Summarize Text
- Transcribe
- Translate Text
- Image Actions
- Business Actions
- Convert Actions
- Generate Actions
- Crypto Actions
- Operator Actions
- Storage Actions
- Scheduler Actions
- Text Actions
- Chart Actions
- Code Actions
- Calculate Actions
- Date and Time Actions
- PDF Actions
- Compress PDF File
- Count PDF Pages
- Create Empty PDF
- Decrypt PDF
- Convert DOCX to PDF
- Draw Image on PDF
- Draw Text on PDF
- Encrypt PDF
- Convert HTML to PDF
- Convert Markdown to PDF
- Manage PDF Metadata
- Merge PDF Files
- Add PDF Pages
- Remove PDF Pages
- Resize PDF Pages
- Rotate PDF Pages
- Convert PDF to Base64
- Convert PDF to Image
- Split PDF File
- Add Image Watermark to PDF
- Add Text Watermark to PDF
- Shortened URL Actions
AI → Extract Contact Information
AI-generatedOverview
The node provides a utility to extract contact information from a given text input using an AI-powered service. It is designed to analyze unstructured text content and identify key contact details such as names, email addresses, phone numbers, job titles, and company names.
This node is beneficial in scenarios where you have raw text data (e.g., emails, documents, web scraped content) and want to automatically parse out relevant contact information without manual effort. For example, it can be used to process customer inquiries, resumes, or business cards scanned into text form to quickly gather structured contact data.
Properties
| Name | Meaning |
|---|---|
| Text Content | The text content to analyze for extracting contact information. Example: "John Smith, CEO at Tech Corp. Email: john@techcorp.com, Phone: +1-555-123-4567" |
Output
The node outputs JSON data containing the extracted contact information parsed from the input text. This typically includes fields such as:
- Person's name
- Job title
- Company name
- Email address(es)
- Phone number(s)
The exact structure depends on the AI extraction response but generally provides a structured representation of all recognized contact details.
No binary data output is involved.
Dependencies
- Requires an API key credential for accessing the external AI service endpoint at
https://prod.0codekit.com. - The node sends a POST request to
/ai/extractcontactinformationwith the provided text prompt. - Proper configuration of this API key credential within n8n is necessary for the node to function.
Troubleshooting
Common issues:
- Missing or invalid API key credential will cause authentication errors.
- Providing empty or poorly formatted text may result in no contact information being extracted.
- Network connectivity problems can prevent reaching the external AI service.
Error messages:
- Authentication failures: Check that the API key credential is correctly set up and valid.
- Empty results: Ensure the input text contains recognizable contact information.
- Request timeouts or network errors: Verify internet connection and service availability.
Links and References
- No direct external documentation links are provided in the source code.
- For more information about the AI service, consult the provider’s official API documentation or support resources if available.