Which questions will you get in your job interview?
Upload your CV and paste the job description. We read both and build the questions you are most likely to be asked — each with the reason why you, specifically, will hear it.
The more complete the ad, the sharper the questions.
Optional. If you name it, it shows up in the result.
How this works
- 1You give us both — your CV and the job ad. The uncomfortable questions live between the two, not in either one alone.
- 2A free LLM cascade reads the two texts against each other: what the ad demands, what your CV backs up, and what stands out.
- 3You get the questions you are most likely to be asked — each pointing at the line in the ad or the CV it comes from. Three of them in full; the rest you practise out loud.
Frequently asked
How do you know which questions will actually come up?
We do not know for certain — nobody does. We derive the questions from what is in your ad and your CV: what appears repeatedly as a requirement gets asked. What the ad demands and your CV does not back up gets asked too. That is why every question states where it comes from — you can check the reasoning yourself.
What happens to my CV?
PDF and Word files are read as text in your browser only — the file itself never leaves it. The extracted text goes to the language model once, together with the ad; the call is stateless, we store none of it, and there is no account here. Our API provider (OpenRouter) does see the texts. If your CV holds sensitive details, take them out first.
Why only three questions in full?
Because a list of sixteen questions is exactly the trap: you read it once and feel prepared. The three written out are the ones most certain to come up — answer those out loud before moving on.
Do I get the result in German if the ad is in German?
The result comes in the language of this page: English under /en/tools, German on lindoza.com/tools — regardless of the language your CV and the job ad are written in.
My PDF is not being recognised.
Then it is most likely a scan or a photo — an image with no text layer, so there is nothing to extract. Paste your CV as text instead; the result is the same.