Speech recognition accents come from the training data, not from the speaker. What the research measures, what it does not, and what actually helps accuracy.
Transcription, plainly explained.
Getting speech into text: formats, accuracy, privacy, and what your laptop can run. Prices dated, facts sourced, tool claims measured. How they are written.
Pick your route: transcribe a meeting from Zoom, Teams or Meet with the platform guide, or handle a plain phone recording with no platform behind it.
Whisper speaker diarization is a separate task the model does not do, so a two-speaker interview comes back as one block. Here is how to add the labels.
Whisper hallucination is when the model writes a sign-off or a looping phrase over a pause. Here is why a speech model does that, and five ways to stop it.
How to edit a transcript fast: the seven mistakes speech recognition makes most, the quickest search for each, the fix, and a time budget per hour of audio.
Nine recording habits that improve transcription accuracy: mic distance, one voice at a time, echo, levels, phone placement, file format and a 10-second test.
Subtitle timing off usually means one of three things: a constant offset, drift that grows through the file, or a few cues out on their own. How to fix each.
Subtitles for Reels, TikTok and Shorts: what YouTube's help pages document, what we could not verify, and how to cut cues short enough to read on a phone.
How to transcribe a focus group when six people overlap and the transcript has no speaker labels: what to record, how to moderate, and when to pay a human.
Burn subtitles into video free with HandBrake or one ffmpeg command: the exact steps, the one-track limit, how styling gets chosen, and what it costs you.