Automated parsing and entry of CV/resume data

Purpose

1. Automate the intake, parsing, and structured entry of candidate CV/resume data into HR software, ATS, and databases for faster, error-free recruiting.

2. Automates extraction of relevant data fields such as name, contact, education, experience, and skills from documents (Word, PDF, etc.).

3. Automatedly distributes parsed data across candidate profiles, pipeline stages, and communication flows for streamlined recruitment and talent pools.

4. Automator solutions ensure all incoming CVs/resumes are standardized for review, compliance, and analytics.

Trigger Conditions

1. Automated receipt of CV/resume via email, website, portal, or cloud folder.

2. Files uploaded to a specific directory or cloud storage activate automation flow.

3. Direct candidate submissions on company or career sites initiate parsing automation.

4. Automated integration with sourcing platforms triggers upon new candidate listing.

Platform Variants

1. Microsoft Outlook

• Feature/Setting: Configure email rule to forward attachments to parsing endpoint or trigger via Microsoft Power Automate flow.
  

2. Gmail

• Feature/Setting: Use Gmail API to monitor inbox and automatedly extract and send attachments to parser.
  

3. Dropbox

• Feature/Setting: Webhook on new file in CV folder triggers parser automation.
  

4. Google Drive

• Feature/Setting: Google Apps Script or Drive API monitors folder, automates file extraction.
  

5. Zapier

• Feature/Setting: Automated Zap receives email attachment, passes to document parser, and inserts into ATS.
  

6. HubSpot

• Feature/Setting: Use Workflow API to automate CV attachments parsing and contact enrichment.
  

7. Greenhouse

• Feature/Setting: Ingest API for direct candidate data entry post-automation.
  

8. Bullhorn

• Feature/Setting: Automate Candidate API for pushing parsed candidate data.
  

9. Lever

• Feature/Setting: Use API to automate insertion of structured resumes into pipelines.
  

10. Workable

• Feature/Setting: Automator webhook to parse and automatedly add new applicants.
  

11. BambooHR

• Feature/Setting: Applicant Tracking API for automating candidate creation from parsed data.
  

12. Recruitee

• Feature/Setting: Automate CV parsing and creation via Webhooks and API integration.
  

13. Salesforce

• Feature/Setting: Automated Apex trigger to parse and map CV data to CRM objects.
  

14. Docparser

• Feature/Setting: Configure doc template for CV, automate parsed info to webhook/ATS.
  

15. Affinda

• Feature/Setting: Resume Parser API automates field extraction, maps to recruitment database.
  

16. Sovren

• Feature/Setting: Automated Resume/CV Parsing API with endpoint for bulk submissions.
  

17. Daxtra

• Feature/Setting: Daxtra Parser API automates entry into ATS/CRM.
  

18. RChilli

• Feature/Setting: CV/Resume parser API endpoint to automate transformation and export.
  

19. Hiretual

• Feature/Setting: Enrichment API for automating candidate profile completion from parsed data.
  

20. TalentLyft

• Feature/Setting: REST API automates candidate entry and workflow transitions.
  

21. Slack

• Feature/Setting: Automated bot posts resume files and parsed summaries to dedicated channel.
  

22. AWS Textract

• Feature/Setting: Automatedly extract text/data fields from CVs using Textract OCR API.
  

23. Google Cloud Vision AI

• Feature/Setting: Automate OCR processing on uploaded resumes for data extraction.
  

24. Box

• Feature/Setting: Configure Webhook/Events API to trigger parsing automation on upload.
  

Benefits

1. Automates and accelerates candidate data entry for recruiters.

2. Maximizes accuracy by reducing human data-entry errors.

3. Enables automated screening and filtering of candidates.

4. Scales candidate intake with minimal manual intervention.

5. Enhances compliance with automated data standardization and audit trails.

6. Frees recruiter capacity for high-value tasks by automating repetitive workflow steps.