Skip to content
Heads up: this guide was last verified on Oct 8, 2026. Free-tier limits change often — re-check the provider's current pricing page before relying on it. Report an outdated limit.
Everyday AI, Done Right
Career

Practise Interview Answers and Get a Transcript Without Uploading

Record yourself answering practice questions, transcribe locally, and review your pace and filler words without sending your voice to a server.

Toolwhisper.cpp (local speech-to-text, MIT-licensed)
Cost$0 — open-source licence, runs on your computer
LimitsSpeed depends on your hardware; no quota or account
Verified8 October 2026

Why this works

Hearing yourself is uncomfortable and useful. A local transcript lets you count filler words, measure answer length, and check whether your examples have a clear result.

Step by step

  1. Pick five likely questionsUse the questions for your role and write them on cards.
  2. Record each answerAnswer aloud for about two minutes per question, with your phone on a table, and save each file.
  3. Transcribe locallyConvert your recording to 16 kHz mono WAV: ffmpeg -i input.m4a -ar 16000 -ac 1 -c:pcm_s16le audio.wav. Then run whisper.cpp on each file. Build whisper.cpp from the repository (follow its README for CMake steps), then download a model with the bundled script, for example ./models/download-ggml-model.sh base.en. Models download once; transcription runs offline.
  4. Score the transcriptCount filler words (um, like, you know), note the number of seconds before your first point, and check that each answer has a result.
  5. Re-record the weakest answerImprove one answer per session rather than rewriting all five.

Copy-paste prompt

Review this practice interview answer. Report: word count, filler words with counts, whether there is a clear situation, action, and result (quote where each is), and one suggestion to shorten it. Do not rewrite the answer for me.

ANSWER TRANSCRIPT:
<paste>

Check your result

  • Each answer includes an outcome you can verify
  • Filler-word counts were checked by ear on one recording
  • Your examples are true and can be discussed in depth

Pitfalls to avoid

  • Do not memorise scripted answers word for word; aim for structure and confidence.
  • A transcript cannot judge tone or body language. Also record a short video once in a while.

What we checked: Licence and project status were read from the project's GitHub repository on 8 Oct 2026. Install commands and flags change between releases, so follow the project README for the current version. Source: https://github.com/ggml-org/whisper.cpp.