Explore the future of parsing technology with Textkernel’s LLM Parser and experience the synergy of expertise, innovation, and unmatched performance. Get ready to revolutionize the way you parse resumes and embark on a journey towards better, more efficient recruitment. Your next-generation parsing solution awaits.
We take care of the entire parsing pipeline, which entails more than just GPT:
Using industry-standard solutions we convert input documents to text (for parsing) and HTML (for display). Combined with Textkernel’s Deep Learning engine that detects column layouts and document structure, we ensure that the GPT engine receives well-formatted text as input.
Using fine-tuned prompts optimized for accuracy and speed, we parse key data points using GPT-3.5.
The extracted data undergoes normalization through Textkernel’s modules, which ensures consistent output. The data is enriched with mappings to taxonomies related to job titles, skills, education levels. While we also map to standards like O*NET and ISCO, Textkernel’s real-world taxonomy of skills and job titles sets us apart.
Our algorithms accurately compute additional metadata, such as the most recent use of a skill or the total months of experience with a skill.
The result from Textkernel's LLM Parser maintains the same JSON structure as our standard parser and seamlessly integrates with other Textkernel products.
Why Textkernel and Textkernel's LLM Parser?
At Textkernel, innovation fuels our growth and inspires us to continuously improve our solutions. We are the first established parsing provider to adopt GPT, demonstrating our deep-rooted commitment to innovation for a competitive edge and allowing you to focus on your business.
Ease of Use
Textkernel now offers multiple world-class parsing solutions, each meeting specific needs but all delivering superior results. Benefit from quick, self-provisioning setup from the leading parsing provider, delivering results optimized for speed and accuracy.
Benefit from future proof technology without complicated API setup, or prompt engineering and LLM selection investments. If you require specific and tailored information parsed from your CVs and applications, Textkernel's LLM Parser provides the foundation for answering these questions.
Trust and Expertise
Textkernel's LLM Parser is built upon the solid foundation of our specialized resume parsing technology. Over the past two decades, we've consistently been at the forefront of adopting AI advancements, including Deep Learning, and introducing them to the market responsibly and fully compliant. In this context, GPT represents a continuation of our ongoing commitment to innovation and excellence.
How to get access to Textkernel's LLM Parser?
If you’re a Textkernel customer, connect with us and let’s discuss how Textkernel’s LLM Parser can help you achieve your hiring goals!
Want to try it? Textkernel’s LLM Parser is delivered through Sovren, a Textkernel company. Create a demo account on the Sovren platform and you are ready to experience our latest parsing innovation.
Existing Sovren customers just need to log in with their customer details.
LLM Parser FAQs
Whether you're looking for insights on functionality, integration, or data security, you'll find valuable information to streamline your experience and make data-driven decisions with ease. If you have a question that's not covered here, don't hesitate to reach out for personalized assistance.
Textkernel’s LLM Parser demonstrates the advanced capabilities of our technology. You can assess whether it’s suitable for your use cases or if our standard parser remains the better choice.
Our standard parser is known for its speed and impressive accuracy, achieving over 95% accuracy for the most critical data points. Textkernel’s LLM Parser elevates accuracy even further, reducing the remaining errors by up to 30%. However, it’s important to note that it currently requires more time for parsing and comes at a higher cost.
If you’re already using the Sovren API, there’s no need for modifications. The LLM engine utilizes the same API models and endpoints as the existing Sovren API. You can enable Textkernel’s LLM Parser with a single boolean flag on the request.
Yes, the CV/Resume is sent to a private OpenAI Azure model and is not stored. OpenAI does not have access to this data, and it is not used to improve their models.
Initially, our focus was on English to showcase the capabilities of LLM technology. However, we plan to expand the GPT engine to include more languages in the future.
No, when you enable the LLM Parser and we detect a non-English document, we will return an error and not charge the add-on transaction cost.
If you’re using the Sovren API, our LLM Parser will produce the same data model that Sovren AI Matching uses, making it compatible.
However, if you’re using the Textkernel API, you’ll need to integrate the Sovren API for Parsing. Please reach out to email@example.com for tailored advice regarding your setup.
By combining Textkernel technology with Open AI’s ChatGPT, our solution is up to four times faster compared to using ChatGPT as a standalone parser. We manage the entire parsing process, including document conversion to text and HTML, as well as handling column layouts. Moreover, we enhance the output with our data-driven skills and profession taxonomies. By choosing Textkernel’s LLM Parser, you eliminate the need to spend any time selecting, evaluating and tuning the LLM technologies and ensures you benefit from future enhancements and features.
At this stage, Open AI’s ChatGPT is the most viable option. However, once you’ve integrated with our API, you will automatically benefit from any future changes or improvements in the underlying LLM technology.
We employ several strategies in our prompts to minimize the impact of hallucinations. In our evaluations of the parsing accuracy, hallucination issues have rarely been observed. Overall, Textkernel’s LLM Parser offers improved accuracy compared to the standard parser, helping to offset any potential hallucinations.