How do parser extract data?

How Our Parser Extracts Resume Data

Our resume parser works by first converting each resume document into plain text before extracting relevant data fields. If the resume is not formatted properly, the conversion process may take longer, and the extracted results may be inaccurate or incomplete.

Key Factors That Affect Data Extraction

1. Document Format
   The quality of text extraction greatly depends on the format of the document. Resumes with complex or unstructured layouts can lead to poor results.

2. Clarity and Consistency of Information
   The parser relies on a clear and structured format to identify fields accurately. Information should be presented logically and consistently. For example:

   • Similar data types (e.g., multiple job experiences, education entries, or dates) should follow a uniform format.

   • Avoid mixing or jumbling content, as it makes field identification more challenging.

3. Avoid Complex Designs
   While tabular or designer formats may look visually appealing, they can confuse the parser. Tables, columns, and decorative elements often scramble during the text conversion process, leading to inaccurate or missing data. We strongly recommend using simple, clean layouts with clearly written information.

Recommended Best Practices

• Use a straightforward format with minimal design elements.

• Present all required information in a clear and organized manner.

• Maintain consistency across similar fields such as experience, education, and dates.

• Avoid placing information inside tables or multiple columns.

Troubleshooting Tip

If you are not receiving accurate results from the parser, try this simple check:

1. Copy the content of the resume.

2. Paste it into a plain text editor such as Notepad.

3. Review how the information appears—this is how the parser sees it.

This can help identify formatting issues that may be affecting the parsing accuracy.

If you have any questions, drop an email at support@rchilli.com.