Interview Practice AI

InterviewPracticeAI takes three inputs — a job title, a job description, and your CV — and uses all three to generate questions that fit the actual role rather than a generic category. You answer by speaking (the tool transcribes and lets you edit before submitting) or by typing, then receive a score out of 100, a breakdown of what worked, a specific fix, and a model answer. The CV review feature runs a separate scoring pass across four dimensions — match to the role, impact signals, clarity, and use of metrics — and rewrites flagged lines rather than just identifying them.

The differentiating factor is context specificity. The question and the feedback are both generated against your CV and the job description simultaneously, so feedback references what you actually said relative to what the role actually requires. The vendor states your CV is never used to train AI models and the product is GDPR compliant — relevant for users who are cautious about uploading personal documents to an AI tool.

This fits a job seeker preparing for one to three roles who wants structured, scored feedback on their answers and a CV check against each target role. It does not fit users who need to run through a full interview loop of twenty or thirty questions in a single session without worrying about credit limits — the daily free credit cadence is one question, and paid credit packs are designed for focused rounds rather than exhaustive drilling. There is no API, no integration with ATS platforms, and no self-hosted option, so teams looking to embed interview practice into a hiring or HR platform cannot use this as a component.