Automated Job Application Processing with AI and Forms

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This n8n workflow streamlines the entire job application process by integrating form submissions, AI-driven document analysis, data extraction, and storage. It begins with an applicant uploading their CV via a form trigger, which triggers a series of nodes that validate, classify, and extract relevant information from the uploaded PDF. An embedded AI model assesses whether the document is a valid CV and extracts key details such as name, email, skills, and experience, considering the context of the specific job post. The system then feeds this information into an Airtable database, attaching the original PDF and updating applicant details. Additionally, the workflow manages a multi-step application form that allows candidates to review and amend their application data, with seamless redirection between steps. This automation enhances recruitment efficiency, ensures data relevancy, and improves candidate experience, making it ideal for HR teams looking to automate resume screening, data collection, and applicant management in a low-code environment.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.textClassifier, airtable, extractFromFile, form, formTrigger, httpRequest, stickyNote

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