With my capstone HRM job application project, I wanted to simplify the resume data extraction and storage procedure. Considering the several resume styles, I wanted a strong method to quickly store the obtained data in my database and split apart PDF files. Using pdfjs-dist and Prisma’s JSON data type helped me to reach this and preserve integrity and flexibility in managing several resume structures.
Resumes come in numerous forms and styles, which makes extracting and standardizing the material challenging. Key information like name, contact details, talents, and job experience was intended to be parsed and stored in an orderly way my HRM software could readily access and show. This needed a flexible storage system and a consistent way to break out PDFs.
The Fix: Prisma and pdfjs-dist.
I began by combining the potent tool pdfjs-dist, which displays and extracts text from PDFs. I read the contents of uploaded resumes and programmatically extracted pertinent information using this package.
My implementation is briefly summarized here:
Using TypeScript, I developed a utility tool loading the PDF using pdfjs-dist and extracting text from every page. After that, the taken material is arranged to find and classify important data including contacts, education, and job experience.
Once the data was pulled, I organized it into a JSON object. This let me keep a similar style across several resumes even if their formats differed greatly.
Storing the parsed resume info straight into my database using Prisma’s JSON data type This method gave the freedom to save unstructured data and made it simple to search particular information as needed, such applicant screening based on experience or skill set.
Integration with the HRM App: At last, I included this capacity into the flow of the HRM application. A resume submitted automatically analyzed and saved in the database, ready for usage in applicant assessments and comparisons.
At last
For my HRM app, using PDFjs-dist to break off resume data and Prisma JSON to save it changed everything. It guaranteed that the data was easily available and queryable and let me manage a great range of resume styles effectively. This deployment improved recruiters’ user experience as well as simplified backend procedures, therefore strengthening the whole system’s scalability and dependability.