Daxtra vs Textkernel - Which parser should I pick?

Khushi Dholakia

• 4 min read
Daxtra vs Textkernel - Which parser should I pick?

In the world of recruitment, efficiency is the name of the game. And one of the key tools that can significantly boost your efficiency is a resume parser. These nifty pieces of software automate the extraction and organization of data from resumes, making the life of a recruiter much easier. They help streamline the recruitment process by swiftly analyzing submitted resumes and extracting vital information like skills and experience. But with several options in the market, how do you pick the right one for your business? Today, we’ll delve into the showdown “Daxtra vs Textkernel – Which parser should I pick?”

What is Resume Parsing and Its Importance

Resume parsing is a technology that automates the extraction and organization of data from resumes, streamlining the recruitment process. It involves analyzing submitted resumes to extract key information, such as skills and experience, which recruiters can then search through using specialized software. This not only accelerates candidate screening but also enhances the overall application experience for candidates.

How to Select the Right Resume Parser

Choosing the ideal resume parser for your business requires careful consideration of several factors:

  • Efficiency: A resume parser should swiftly analyze and extract essential candidate information, such as contact details and location.
  • Time-Efficiency: The parsing process should be quick, capable of handling a high volume of resumes in seconds.
  • Scalability: The chosen parser should adapt to your growing business needs, accommodating varying numbers of incoming resumes.
  • Customizability: The parser should support diverse input and output formats and allow users to tailor its functions.
  • Multiple Language Support: The parser should be able to work with resumes in different languages.
  • Integration: Integration with your existing ATS or HRMS can enhance efficiency by automating data transfer.
  • User-Friendly: The parser’s features should be intuitive and easy to use.
  • Compatibility with ATS: Ensure the parser’s output is compatible with your existing ATS or HRMS.

Daxtra Introduction and Pros and Cons

Daxtra Pros:

  1. High Accuracy: Daxtra is known for its benchmarked high CV parsing accuracy across multiple languages. When you’re dealing with resumes from candidates all around the world, this level of accuracy is a game-changer.
  2. Multilingual Support: Daxtra’s technology covers a wide range of languages and dialects, enhancing its geographical and language support. This versatility ensures you can attract talent from diverse backgrounds.
  3. Structured Data Output: The parser provides structured data output, supporting powerful recruitment workflows. This means you can quickly categorize and analyze candidate information, making informed decisions.
  4. Flexibility: Daxtra allows customization through bespoke schemas and unique skills taxonomies. Tailoring the parser to your specific needs ensures it aligns perfectly with your recruitment processes.

Daxtra Cons:

  1. Occasional API Connection Issues: Some customer reviews mention occasional connection issues with Daxtra’s API, causing internal delays. While these issues might not be persistent, they can be frustrating when they occur.
  2. Missing Info and Failed Processing: Customers reported hiccups related to missing information and processing failures. These instances can disrupt your workflow and require manual intervention.
  3. Compatibility Issues: Some users felt that Daxtra did not align well with their systems and intended use, leading to a sense of being misled. Compatibility is crucial for seamless integration into your existing workflow.
  4. Workflow Challenges: A lack of smooth parsing and workflow issues were also reported. It’s essential to evaluate how well Daxtra fits into your recruitment processes to avoid such challenges.

Textkernel: Pros and Cons

Textkernel Pros:

  1. Secure: Textkernel places a strong emphasis on data security, adhering to international standards and certifications. Ensuring the safety of candidate data is paramount in today’s recruitment landscape.
  2. Multilingual: Textkernel stands out by offering parsing support for 24 languages while maintaining consistent quality. This breadth of language support opens doors to a more diverse talent pool.
  3. Versatile: The parser can process various document formats, including scanned documents through OCR. This versatility allows you to handle a wide range of candidate submissions seamlessly.
  4. Highly Accurate: Textkernel’s AI-based approach ensures accurate parsing across languages and document styles. You can trust that the data you receive is reliable and actionable.

Textkernel Cons:

  1. Cost: Textkernel’s pricing structure can be relatively high, making it potentially cost-prohibitive for smaller organizations or those with limited budgets. It’s crucial to weigh the benefits against the expense.
  2. Complexity: Setting up and configuring Textkernel can be complex, requiring a significant level of technical expertise. This complexity can result in longer implementation times and increased reliance on IT support.
  3. Integration Challenges: Integrating Textkernel with existing HR or applicant tracking systems can be challenging due to compatibility issues. This might necessitate additional development work and resources.

Conclusion

So, which resume parser should you pick: Daxtra or Textkernel? The answer depends on your specific needs and priorities. Daxtra excels in accuracy and multilingual support but may have occasional technical hiccups. On the other hand, Textkernel boasts top-notch security and versatility but comes with a higher price tag and integration complexities.

Before making a decision, thoroughly evaluate your requirements, budget, and existing systems. Additionally, consider reaching out to both providers for demos or trials to assess how well their solutions align with your recruitment workflow.

In the fast-paced world of recruitment, having the right tools at your disposal can make all the difference. Choose wisely, and you’ll be well on your way to enhancing your recruitment efficiency and finding the best talent for your organization.

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.