If you need a tool to parse and structure HR documents like resumes and CVs, HrFlow.ai is a great option. This all-in-one AI-powered HR data automation platform is geared for HR software vendors, staffing agencies and big employers trying to improve their HR experience by centralizing, processing and enriching talent data. It includes a Parsing API for converting structured data, a Tagging API for adding profile details and an Embedding API for training machine learning models. With tiered pricing and strong integration abilities, HrFlow.ai is a popular option for improving HR data processing and matching candidates.
Another option is DATAKU, industrial-strength data extraction and transformation software that uses Large Language Models (LLMs) to convert unstructured text and documents into structured data. It includes features like Document Insights, Text Intelligence and Tailored Data Extraction, which makes it particularly useful for resume extraction and other recruitment tasks. DATAKU offers three pricing tiers, including a free service, so it can be used at a variety of scales.
If you prefer a developer-focused option, check out Sensible. This API-first document processing platform is designed to make it easy to extract data from a variety of documents, including resumes and other HR documents. It boasts advanced parsing techniques and a suite of APIs that makes it easy to integrate into existing software. With features like elastic scalability, security compliance and a library of pre-built parsers, Sensible is geared for developers trying to automate HR document processing.
Last, Extracta.ai offers automated data extraction for unstructured documents like PDFs and images. It offers customizable templates, API integration and full encryption for secure data transfer. The platform is geared for HR departments trying to improve efficiency and reduce errors that can be common with manual document data extraction.