Affinda vs Daxtra - Which parser should I pick?

Khushi Dholakia

• 3 min read
Affinda vs Daxtra - Which parser should I pick?

Recruiters, we understand the pivotal role you play in finding the right candidates to fill crucial positions within your organization. In the digital age, where resumes flood your inbox daily, leveraging technology like resume parsing tools is no longer an option but a necessity. It’s time to dive into the debate of “Affinda vs Daxtra – Which parser should I pick?” and help you make an informed decision on which resume parser best suits your recruitment needs.

1. What is Resume Parsing and Its Importance

Resume parsing is the unsung hero of the recruitment world. It’s the technology that automates the extraction and organization of data from resumes, making your job significantly easier. Imagine having to manually sift through stacks of resumes, searching for key information like skills and experience. Resume parsing software takes care of that for you, streamlining the entire recruitment process.

Why It Matters

  • Accelerated Candidate Screening: With resume parsing, you can swiftly filter through resumes, focusing on the most qualified candidates.
  • Enhanced Candidate Experience: It’s not just about making your life easier; it also improves the application experience for candidates, as their information is accurately and efficiently processed.

2. How to Select the Right Resume Parser

Selecting the right resume parser is crucial for your recruitment success. Here are the factors you should consider:

  • Efficiency: Look for a parser that can quickly analyze and extract essential candidate information.
  • Time-Efficiency: Speed matters; it should handle a high volume of resumes in seconds.
  • Scalability: Your parser should grow with your business, adapting to varying numbers of incoming resumes.
  • Customizability: It should support diverse input and output formats, allowing you to tailor its functions.
  • Multiple Language Support: The world is diverse, and so are resumes. Ensure the parser can handle different languages.
  • Integration: Seamless integration with your existing ATS or HRMS can automate data transfer and boost efficiency.
  • User-Friendly: Complex features should be intuitive and easy to use.
  • Compatibility with ATS: The parser’s output should play well with your existing systems.

Affinda: Introduction, Pros, and Cons

Let’s start our exploration with Affinda. This resume parsing solution has its unique advantages and drawbacks.

Pros:

  • Job Board Integration: Affinda’s Resume Parser API is a favorite among job boards, as it enhances application completion rates.
  • HR SaaS Solution: HR SaaS companies find Affinda’s technology invaluable in simplifying the hiring process.

Cons:

  • Customization Limitations: Some users may find limitations in customizing Affinda’s parser behavior.
  • Learning Curve: It might take some time to fully grasp and utilize all of Affinda’s features.
  • Accuracy: While it excels in some areas, Affinda may not be as accurate for a very wide range of resumes.

Daxtra: Introduction, Pros, and Cons

Now, let’s shift our focus to Daxtra and explore what it brings to the table.

Pros:

  • High Accuracy: Daxtra is known for its benchmarked high CV parsing accuracy across multiple languages.
  • Multilingual Support: It covers a wide range of languages and dialects, enhancing its geographical and language support.
  • Structured Data Output: Daxtra provides structured data output, supporting powerful recruitment workflows.
  • Flexibility: Customization through bespoke schemas and unique skills taxonomies sets Daxtra apart.

Cons:

  • Occasional API Connection Issues: Some customer reviews mention occasional connection issues with Daxtra’s API, causing internal delays.
  • Missing Info and Failed Processing: Customers reported hiccups related to missing information and processing failures.
  • Compatibility Issues: Some users felt that Daxtra did not align well with their systems and intended use, leading to a sense of being misled.
  • Workflow Challenges: A lack of smooth parsing and workflow issues were also reported.

Conclusion

So, which parser should you pick: Affinda or Daxtra? It depends on your specific needs and priorities. If you value high accuracy and multilingual support, Daxtra might be your go-to choice. On the other hand, if you’re looking for a solution with seamless job board integration, Affinda could be the one for you.

Remember, there’s no one-size-fits-all answer, and you should carefully evaluate your requirements and perhaps even try out both options to see which aligns better with your recruitment workflow.

For more information, you can check out their official websites:

Happy parsing, recruiters! May your talent search be efficient and successful.

About Tobu.Ai

Tobu.ai is revolutionising the way companies build their resume databases. As the world’s first email and desktop resume extractor, Tobu.ai automatically identifies and backs up all resumes from your emails and desktop, making it easy to create a searchable resume database for your organisation.

The process is simple: just link Tobu.ai to your existing email account (Gmail, Outlook, etc.) and/or download the Tobu.ai desktop app. Tobu.ai will automatically scan, identify, and parse all the resumes that you currently possess into an internal searchable private database for your company. With Tobu.ai, you no longer need to manually search for resumes or worry about losing track of important candidate information. To get started, sign up for a free trial on Tobu.ai. This will give you an estimate of the total number of resumes you have hidden away in your email and desktop right now.