Launching today
AI Interviewer
Practice English job interviews with AI. Free, no sign-up.
6 followers
Practice English job interviews with AI. Free, no sign-up.
6 followers
Most interview-prep tools are paid or make you sign up and configure before you can practice anything. AI Interviewer strips that away: upload your CV, and the AI reads it, detects your role and level, and builds a realistic interview from your actual experience — not a generic question bank. You answer by speaking out loud, each question read aloud like a real interview, then get a scored report. No account, no payment, no setup. Free, 5 interviews/day.
how does the speech-to-text handle accents or background noise, and is the report based only on what you said or does it factor in delivery too?
@sabriyeorht
Great questions 🙏
On speech-to-text: by default your answer is transcribed live in the browser via the Web Speech API. If that comes back empty (some browsers/devices don't support it well), we fall back to Whisper on the audio, which handles accents noticeably better. We currently auto-detect the language. Background noise can still affect accuracy, so a quiet environment helps.
On the report: each question is generated with a model answer built from your CV, and scoring compares your response against that model answer — so it's based on the content of what you said and how well it addresses the question, rather than delivery (pace, pronunciation) for now.
If you find it useful, I'd really appreciate a quick review or any feedback — it genuinely helps me improve it 🙏
Reading interview questions or preparing answers in your head is completely different from saying them out loud under pressure. I like that AI Interviewer focuses on that actual moment instead of just giving another generic question bank. the no account, no payment, no setup flow also makes a lot of sense here, because interview prep is exactly the kind of thing people often want to start immediately.
Curious how the scoring handles language vs. substance. if someone has a strong technical answer but weaker English delivery, does the report separate communication feedback from role-specific interview feedback?
@andrasczeizel
Really appreciate this — you've pinpointed exactly the distinction that matters.
Right now, the honest answer is: scoring is based on substance. Each question is generated with a model answer grounded in your CV, and your response is scored against that — so it's really measuring whether the content of your answer addresses the question well, not your English delivery separately. So someone with a strong technical answer but weaker English would currently be scored mostly on the substance.
Separating communication feedback from role-specific feedback is exactly where I want to take it next — that split would make it genuinely useful for non-native speakers, which is who I built this for (I'm one myself). It's the most valuable thing on my roadmap right now.
On the speech-to-text side: I use Whisper, which handles English well across a range of accents. The product currently supports English interviews only — that was my own need first — and non-English CVs are rejected for now.
Thanks for such a sharp question 🙏
Tried it with my product manager CV and the questions actually pulled from projects I listed, not the usual generic "tell me about yourself" stuff. The voice reading questions out loud makes it feel way less awkward than typing into a chatbot.
@ekremkodatffu Thanks 🙏 CV-grounded questions and the "out loud" part were the two things I cared most about getting right — really glad it landed.
How does the AI actually pick which questions to ask from my CV, and does it adapt if I fumble on an early one or just keep following the same script?