Bibliothek / Formulare & Umfragen
Formulare & Umfragen
Kandidatendaten aus hochgeladenen Lebenslauf-PDFs in Airtable extrahieren
Nimmt Lebenslauf-PDFs über ein n8n-Formular entgegen, prüft sie mit einem Textklassifikator, extrahiert die Kandidatendaten mit einem LLM und speichert sie bei jeder Einreichung in Airtable.
Was sie bewirkt
## 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!
Die Schritte
- 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
Insgesamt 15 Schritte.
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