Speech-to-text is fast and cheap — and fine for some jobs, unreliable for others. Here's an honest look at where automatic transcription works, where it fails, and how to choose.
In this article
Automatic transcription has come a long way, and for the right recording it's a genuinely useful shortcut. The mistake is assuming it's always good enough — because its errors read smoothly, they slip through unnoticed until they matter.
Where AI transcription wins
- Speed and cost — a rough transcript of clean audio in minutes, for a low price.
- Clean, single-speaker recordings — a clear voice with no background noise is where speech-to-text performs best.
- Searchable drafts — a quick record you can search or skim, or a starting point a human then corrects.
Where a human transcriber wins
- Accents and dialects — a native transcriber understands regional speech that automatic tools mishear.
- Multiple speakers and crosstalk — accurate speaker labels and overlapping dialogue, where ASR blurs everything together.
- Specialist terminology — legal, medical, technical and academic terms transcribed correctly by someone who knows the subject.
- Poor audio — noise, distance and low quality that defeat automatic tools.
- Verbatim accuracy and confidentiality — every word attributed correctly, handled under NDA rather than fed to a public AI tool.
A simple way to decide
Ask how clean the audio is and how much the accuracy matters. Clear single-speaker audio for internal use can start with AI. Multi-speaker, accented, specialist, confidential or publication-grade work should be human — or at least human-corrected.
The middle path: AI draft, human finish
If you already have an automatic transcript, we can check it against the audio, correct the errors, add accurate speaker labels and timecodes, and format it to your house style — faster than starting from scratch, and reliable enough to publish or rely on.
How GoLocalise can help
We provide native human transcriptionacross audio and video, verbatim or clean-read, with timecodes and speaker labels — and we're happy to clean up AI drafts under NDA. Not sure which you need? Tell us about the recording and we'll recommend the most effective route. Get a quote.