Sovren vs Textkernel - Which Parser Should I Pick?
Recruiting is a fast-paced world, and in the digital age, the need for efficient tools to streamline the hiring process is paramount. Resume parsing, a technology that automates the extraction and organization of data from resumes, is one such tool that can significantly boost your recruitment efforts. In this blog post, we’ll delve into the world of resume parsing and compare two leading players in the field: Sovren and Textkernel. So, let’s dive in!
1. What is Resume Parsing and Its Importance?
Resume parsing is the magic wand that can save recruiters countless hours sifting through piles of resumes. It’s the technology that extracts crucial information from resumes, like skills, experience, and contact details, and neatly organizes it for easy access. Imagine parsing as a digital assistant, making the hiring process smoother, faster, and more efficient. It’s a win-win situation – candidates get a better application experience, and recruiters can find the perfect fit faster.
2. How to Select the Right Resume Parser
Now that you know what resume parsing is, let’s talk about how to choose the perfect parsing tool for your business. Here are some essential factors to consider:
- Efficiency: Look for a parser that can swiftly extract key candidate information like contact details and location.
- Time-Efficiency: The parsing process should be quick, handling a high volume of resumes in seconds.
- Scalability: Ensure the parser can grow with your business, accommodating varying resume volumes.
- Customizability: Look for a parser that supports diverse input and output formats and allows you to tailor its functions.
- Multiple Language Support: Does it work with resumes in different languages?
- Integration: Consider integration with your existing ATS or HRMS systems to automate data transfer.
- User-Friendly: The parser’s features should be intuitive and easy to use.
- Compatibility with ATS: Make sure the parser’s output is compatible with your existing systems.
3. Sovren: Pros and Cons
Pros:
Advanced Security: Sovren takes data security seriously. They don’t store user data or processed results, and all transactions are encrypted.
Fast & Accurate: Speed and accuracy are Sovren’s strong suits. It boasts significantly fewer errors compared to competitors and rapid processing times.
Diverse by Design: Sovren’s parser identifies personal data and provides anonymized copies of resumes, promoting unbiased hiring practices.
Cons:
Limited Customer Reviews: Detailed customer feedback might be lacking, making it challenging to assess user experiences comprehensively.
Cost: Probably the most expensive parser in the market. The cost vs. benefit might not make sense anymore as other parsers have caught up in accuracy.
4. Textkernel: Pros and Cons
Pros:
Secure: Textkernel places a strong emphasis on data security, adhering to international standards and certifications.
Multilingual: Textkernel stands out by offering parsing support for 24 languages while maintaining consistent quality.
Versatile: The parser can process various document formats, including scanned documents through OCR.
Highly Accurate: Textkernel’s AI-based approach ensures accurate parsing across languages and document styles.
Cons:
Cost: Textkernel’s pricing structure can be relatively high, making it potentially cost-prohibitive for smaller organizations or those with limited budgets.
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.
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.
In Conclusion
Choosing between Sovren and Textkernel depends on your specific needs. Sovren offers advanced security, speed, and unbiased parsing, while Textkernel excels in security, multilingual support, versatility, and accuracy. Evaluating these factors alongside your business requirements will help you make an informed decision that enhances your recruitment processes.
For more information on Sovren and Textkernel, you can visit their respective websites:
Remember, the right resume parser can be the key to unlocking a more efficient and effective recruitment process, so choose wisely!
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.