Resumé parsers are up to 95% accurate. This comes close to human accuracy, which is typically no more than 96%.
How resumé/CV parsers work:
Resumé parsers filter through resumés and CVs, extract relevant information, and store it in a database. Recruiters search these databases for keywords and phrases, and get a list of appropriate candidates who are ranked on how they match these keywords and job profiles.
Choosing the Best Resumé/CV Parser:
- Ensure that it parses resumés and CVs of all formats.
- Check that it has an accuracy level above 90%.
- Make sure that it integrates easily with your existing software.
- Check that it detects regions and languages effectively.
- Make sure that it identifies candidate skills accurately.
- Confirm that it extracts the required information.
Pros and Cons:
- Enables you to process large numbers of resumés quickly.
- Saves resumés in one format.
- Enables you to shortlist candidates by searching in certain fields.
- Streamlines the screening process.
- Optimizes compliance by searching candidates by gender, etc.
- Fills out fields in your ATS automatically - job seekers just need to upload their resumés.
- Ensures qualified candidates are not overlooked.
- Enables data-backed decisions.
- Stores applicants' information, so you can encourage them to apply for future positions.
- Allows applicants to apply with their LinkedIn profile at times.
- Can cost between $50.00 and $199.00 per month.
- Parsers may have difficulty understanding context.
The reliability of resumé parsers is expected to improve in the future. Encourage your candidates to avoid graphics, headers, and footers, and ask them to use simple fonts and formatting. This prevents qualified applicants from being overlooked.
How Applicants Can Optimize Their Resumé/CV for Parsers:
- Include keywords from the job description in relevant places.
- Use DOC, DOCX, and PDF files.
- Stick to standard section names, such as "Work Experience" and “Education”.
- Use simple fonts, layouts, and formatting.
- Format work experience consistently starting with the job title, then the company title, followed by the employment dates.
- Avoid acronyms, except if they're in a job description.
- Write the long-form and add the acronym in parentheses.
- Avoid headers and footers, which confuse parsing algorithms.
- Steer away from graphics.
Top Keywords to Look for in Resumés/CVs:
- Team building.
- Written communication.
- Productivity improvement.
Where can I find a resumé/CV parser software free download?
You can visit RChilli to access their resumé parser software free download.
What is GitHub resumé parser?
GitHub has an open-source resumé parser that is being developed.
How do I find the best resumé/CV parser?
Contact a few suppliers and find out if they offer test parses. Use yours to parse a variety of resumés and CVs, evaluate and compare their accuracy, and research their long-term cost and pricing model.