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Automated Resume Review System Using OpenAI + Google Sheets

Configured with Chain LLM, Chain Summarization, Extract From File, Form Trigger, and additional nodes. Review the connections and setup before adapting this template.

Workflow preview
TriggerOn form submissionForm TriggerTransformMergeMergeTransformStructured OutputParserOutput Parser StructuredData storeGoogle SheetsGoogle SheetsAI & modelsPersonal InfoInformation ExtractorAI & modelsQualificationInformation ExtractorAI & modelsHR ExpertChain LLMFiles / mediaUpload to google driveGoogle DriveTransformResume extractionExtract From FileTransformwanted profileEdit FieldsAI & modelsSummarizerChain SummarizationAI & modelsOpenAI Chat ModelOpenAI Chat Model

Node categories in this workflow

  • Trigger
  • Transform
  • Data store
  • AI & models
  • Files / media

Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.

Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.

How it works

The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.

Workflow node names, types, and operations
NodeCategoryTypeOperation
On form submissionTriggerForm TriggerSee node parameters
MergeTransformMergeSee node parameters
Structured Output ParserTransformOutput Parser StructuredSee node parameters
Google SheetsData storeGoogle Sheetsappend
Personal InfoAI & modelsInformation ExtractorSee node parameters
QualificationAI & modelsInformation ExtractorSee node parameters
HR ExpertAI & modelsChain LLMSee node parameters
Upload to google driveFiles / mediaGoogle DriveSee node parameters
Resume extractionTransformExtract From Filepdf
wanted profileTransformEdit FieldsSee node parameters
SummarizerAI & modelsChain SummarizationSee node parameters
OpenAI Chat ModelAI & modelsOpenAI Chat ModelSee node parameters

Setup

  1. Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
  2. Connect your own credentials through n8n’s credential store. Replace REPLACE_WITH_* values with your resource identifiers.
  3. Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
  4. Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.

Requirements

An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.

Credential types declared in the source

  • googleDriveOAuth2Api
  • googleSheetsOAuth2Api
  • openAiApi

Workflow notes

Submission, Saving to Google Drive & Extraction

Submission, Saving to Google Drive & Extraction

Captures user info from the form. Uploads resume to Google Drive. Extracts data from the PDF (resume).

Extraction (Personal Info & Qualification)

Extraction (Personal Info & Qualification)

Extracts personal details (name, city, etc.). Retrieves educational qualifications and job history.

Merge & Summarization

Merge & Summarization

Merges extracted information. Generates a concise professional summary.

Voting, Consideration & Google Sheets

Voting, Consideration & Google Sheets

**HR expert reviews and analyzes the summary.

Assigns a rating (1-10) and provides hiring insights.

Appends all details to Google Sheets for record-keeping.**

Automated Resume Processing & Evaluation System

Automated Resume Processing & Evaluation System

This workflow streamlines the process of handling resume submissions, extracting key details, summarizing qualifications, and aiding HR in the decision-making process.

1. Submission, Saving to Google Drive & Extraction

The user submits a resume via a form. The system saves the uploaded file to Google Drive for record-keeping. AI-powered text extraction retrieves personal details, qualifications, and job history from the document.

2. Extraction (Personal Info & Qualification)

The workflow identifies and extracts key details such as the candidate’s name, contact information, and location. It scans for educational background, certifications, and past work experiences.

3. Merge & Summarization

The extracted data is merged into a structured format. A concise summary is generated, highlighting the candidate’s most relevant qualifications and experiences.

4. Voting, Consideration & Google Sheets

HR reviews the summarized profile and assigns a rating (1-10). Hiring insights and comments are recorded for evaluation. All processed data, including extracted details and review scores, are appended to a Google Sheet for tracking and further consideration.

Automated Resume Review System Using OpenAI + Google Sheets

Automated Resume Review System Using OpenAI + Google Sheets

Purpose and structure

This folder contains the Automated Resume Review System Using OpenAI + Google Sheets workflow. Its executable nodes use chainLlm, chainSummarization, extractFromFile, formTrigger, googleDrive, googleSheets, informationExtractor, lmChatOpenAi, merge, outputParserStructured, set. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.

Setup

Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.

Entry points

On form submission

Verification

Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.

Attribution

https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Extractfromfile/1501_Extractfromfile_Form_Automate_Triggered.json MIT; preserve source notices.

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