Automate Your Job Applications with AI-Powered CV Parsing
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Streamline your hiring process by automatically extracting key information from CVs. This workflow uses AI to parse candidate data, structures it for easy review, and stores it in Airtable, saving recruiters valuable time.
About This Workflow
This n8n workflow revolutionizes the initial stages of the job application process. It begins with a user-friendly form that collects basic applicant information and allows for CV uploads. Once submitted, the CV is automatically processed to extract crucial details like name, address, contact information, education, and skills. This extracted data is then intelligently structured, leveraging an OpenAI chat model and a structured output parser, to ensure consistent formatting. Finally, all parsed information, along with the original submission details, is neatly organized and saved into an Airtable base, creating a centralized and searchable database of candidates. This significantly reduces manual data entry and speeds up the screening process.
Key Features
- Effortless CV Upload & Data Capture: A simple form for candidates to submit their CVs and essential details.
- AI-Powered Data Extraction: Utilizes OpenAI to intelligently parse key information directly from PDF CVs.
- Structured Output: Ensures extracted data is consistently formatted for easy analysis.
- Seamless Airtable Integration: Automatically saves all candidate information to a designated Airtable base for efficient management.
- Time-Saving Automation: Eliminates manual data entry, allowing HR teams to focus on qualified candidates.
How To Use
- Configure the Form Trigger: Set up the
Step 1 of 2 - Upload CVnode with your desired form title, description, and fields. Ensure a 'File Upload' field accepting PDF is included. - Connect File Extraction: Link the Form Trigger to the
Extract from Filenode. Configure thebinaryPropertyNameto match the name of your file upload field (e.g., 'File Upload'). Set theoperationto 'pdf'. - Set Up AI Data Parsing: Connect
Extract from FiletoOpenAI Chat Model2. This node will process the extracted text from the CV. You'll need to configure the prompt to instruct the AI on what information to extract. - Define Structured Output: Connect
OpenAI Chat Model2toStructured Output Parser. Define theinputSchemato match the exact JSON structure you want the AI to output (e.g., Name, Address, Email, etc.). - Refine AI for Cover Letter (Optional): Connect
Structured Output ParsertoOpenAI Chat Model1. This can be used for further refinement or to generate specific outputs like a personalized cover letter based on the extracted data. - Integrate with Airtable: Connect the final AI/parser node to the
Save to Airtablenode. Configure your Airtablebaseandtable. Map the output fields from the AI/parser node to the corresponding columns in your Airtable table using n8n's expression editor (e.g.,={{ $json.output.Name }}).
Apps Used
Workflow JSON
{
"id": "0225bf12-0afd-4f2d-a9cf-475551579cc2",
"name": "Automate Your Job Applications with AI-Powered CV Parsing",
"nodes": 19,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 0225bf12-0afd...
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