Forms & Surveys
Validate CV uploads from a form and save extracted candidate data to Airtable
Runs on each job application form submission. Checks that the uploaded PDF is a valid CV, extracts candidate details with an LLM, and saves them to Airtable.
What it does
## Try It Out! ### This n8n template combines form file uploads with AI components to create a simple but effective job application submission flow. It's a perfect low-cost solution without the bells and whistles of the surface yet is highly advanced with its use of AI. ### How it works * The application submission process starts with an n8n form trigger to accept CV files in the form of PDFs. * The PDF is validated using the text classifier node to determine if it is a valid CV. * A basic LLM node is used to extract relevant information from the CV as data capture. A copy of the original job post is included to ensure relevancy. * Applicant's data is then sent to an ATS for processing. For our demo, we used airtable because we could attach PDFs to rows. * Finally, a second form trigger is used to allow the applicant to amend any of the generated application fields. ### Need Help? Join the [Discord]({{ $env.WEBHOOK_URL }} or ask in the [Forum]({{ $env.WEBHOOK_URL }} Happy Hacking!
The steps
- Extract from File
- OpenAI Chat Model1
- Structured Output Parser
- OpenAI Chat Model2
- Step 1 of 2 - Upload CV
- Save to Airtable
- Classify Document
- Upload File to Record
- Form Success
- Save to Airtable1
- Step 2 of 2 - Application Form
- Application Suitability Agent
- File Upload Retry
- Redirect To Step 2 of 2
15 steps in total.
Similar automations
Forms & SurveysExtract Candidate Details From Uploaded CV PDFs Into Airtable15 stepsAlerts & NotificationsNotify Slack When Candidate Hiring Status Changes3 stepsForms & SurveysSave n8n Form Entries to Sheets, Airtable and Gmail9 stepsForms & SurveysSave n8n Form Entries to Sheets and Airtable7 steps