Voice & Transcription
How AI Speech-to-Text Works: From Sound Waves to Sentences
From microphone to finished sentence: the sampling, spectrograms and neural networks that turn speech into accurate, searchable text.
TRANSCRIPT.YOU
AI transcription from TARGA: recordings returned as accurate, structured text you can search, quote and edit.
What TRANSCRIPT.YOU is built to do
Recordings become documents
Speech comes back as text with punctuation, paragraphs, speaker turns and timestamps, so the transcript can be searched, quoted and edited straight away.
Accuracy you can inspect
Quality is discussed in the industry’s own terms, word error rate, with plain guidance on what helps accuracy and what your recording conditions decide.
Confidential by default
Audio and transcripts belong to the person who made them. They are processed to produce your text, protected in transit and storage, and nothing more.
Short answer: TRANSCRIPT.YOU is TARGA’s transcription tool. You give it a recording, and it returns text with punctuation, paragraphs, speaker turns and timestamps in place. Clean audio needs only a light read-through. Difficult audio needs more. The recording itself decides most of the quality, which is why this page discusses microphones as much as software.
How a recording becomes a document
Transcription is two jobs that people treat as one. The first is hearing: turning sound into the right words. The second is writing: turning those words into a document a reader can use.
From sound to words
A speech model listens to the shape of the audio and weighs it against what it knows about language. Sound alone is never enough, because many words are acoustically identical. Context does the deciding. A clear sentence therefore transcribes better than a clear syllable.
For the mechanism rather than the metaphor, our primer on how AI speech-to-text works takes the process apart in order. The speech recognition topic gathers the wider background.
From words to a document
Recognition on its own produces a stream. A transcript is more disciplined, and the discipline is what you are really buying.
- Punctuation: marks where a sentence ends, so quoting a line does not mean guessing at intent.
- Paragraphs: group a single thought, which makes a long transcript skimmable rather than merely searchable.
- Speaker turns: record who said what, the detail that separates a usable interview from an unattributable one.
- Timestamps: let you jump back to the audio and hear the moment before you quote it.
Those four things are what structured means here. Together they make a transcript workable.
Who uses it, and what for
Most people arrive holding a recording and a deadline. The tool is shaped around that moment.
The common cases
- Interviews: journalists and researchers who need quotable text, with a timestamp to check the quote against the tape.
- Meetings: teams who want an accurate record without asking one person to stop contributing and take notes.
- Lectures and dictation: students who want the argument in searchable text, and anyone who thinks faster aloud than in typing.
- Captioning: creators who need the words and their timings, so their work can be watched with the sound off.
Where it sits in a working routine
A transcript is rarely the end of a task. It gets quoted, cut, summarised or filed. Deciding in advance where the text is going saves more time than any setting. Our notes on transcription workflow cover the ordinary sequence: record, transcribe, review, use, archive.
How to judge transcription quality
Every provider in this field claims accuracy. The useful questions are how they define it, and on whose audio.
Word error rate, read properly
The industry measure is word error rate: the share of words a system gets wrong, counting insertions, deletions and substitutions. It is a genuine measure, and easy to flatter by testing on studio-clean speech. A figure quoted without its test material tells you almost nothing.
Our guide to word error rate explains how to interrogate an accuracy claim, ours included. The honest test is to give any tool your own most difficult recording, then read the result against the audio.
What the recording decides
Accuracy is set at the microphone more often than in the model. Distance, room reflections, overlapping voices and background noise destroy information before any software hears it.
| Recording situation | What to expect | What to prepare |
|---|---|---|
| One-to-one interview, quiet room | Close to a clean read; quick review | One microphone between both speakers |
| Panel or group discussion | Crosstalk is the main risk; check speaker turns | A microphone each, and a request not to overlap |
| Meeting room, laptop microphone | Distant voices fade; names and acronyms suffer | A table microphone, and a round of names first |
| Lecture or presentation | Strong for the speaker, weak for questions | A lapel microphone, and questions repeated aloud |
| Phone or video call | Compression removes detail the model would use | A local recording, and headphones to stop echo |
| Outdoors or on location | Wind and traffic cost more than any accent | A wind shield, and a step closer to the speaker |
Tip: Say the names of everyone present at the start of a recording, and spell any unusual term once. A model that has heard a name clearly handles it far better afterwards.
Accuracy is set at the microphone more often than in the model. No system can recover a word the room never let through.
Privacy, and whose words these are
Recordings are confidential more often than not. A source speaking on terms. A client discussing a contract. A colleague thinking aloud, months before the decision is public.
Our position is short. The audio and the transcript belong to you. They are processed to produce your transcript, protected in transit and in storage, and not treated as raw material for anything else. Precision includes being precise about ownership.
What to ask any transcription provider
Put the same four questions to us as to anyone else: who can see the audio, how long it is kept, whether it trains a model, and how you delete it. A provider who answers plainly has told you something real. The AI privacy topic sets those questions out in full, and if you need our answers in writing, write to us.
Limits, stated plainly
No transcription system is finished work. Heavy accents, three people talking at once, specialist vocabulary and a distant microphone all cost accuracy. Budget a review pass. On clean audio it takes minutes.
When a person should do it instead
Some work belongs with a professional transcriber: court and tribunal material, regulated proceedings, anything needing a certified verbatim record. So does badly damaged audio, where a human reconstructing from context beats a model. Our comparison of human and AI transcription draws that line without selling you across it.
For everything else, machine transcription and your own read-through is faster and cheaper. More on method and etiquette sits in the transcription journal. If your problem is producing text rather than capturing it, ASKAI.FREE is the other half of TARGA’s software work.
Key takeaways
- Structure is the product: punctuation, paragraphs, speaker turns and timestamps, not a stream of words.
- Your microphone matters most: distance, crosstalk and noise remove information no model can recover.
- Read accuracy claims sceptically: a word error rate without its test audio means little.
- Your recordings stay yours: processed to produce your transcript, and nothing else.
- Some jobs need a person: certified, legal or badly damaged audio belongs with a human transcriber.
Guides from the Voice & Transcription desk
All guides
Voice & Transcription
Transcription Accuracy Explained: What Word Error Rate Really Means
Word error rate is the standard measure of transcription accuracy, and the most misread number in speech technology. Here is how to read it properly.
Voice & Transcription
How to Transcribe an Interview: A Step-by-Step Guide
From pressing record to a polished, quotable transcript: the interview workflow used by journalists, researchers and oral historians.
Frequently asked questions about TRANSCRIPT.YOU
What kind of recordings does TRANSCRIPT.YOU handle?
Spoken-word recordings of the ordinary kinds: interviews, meetings, lectures, panel discussions, calls and dictation. What matters far more than the source is the audio itself. A clear recording from a cheap microphone will beat a muddy one from an expensive setup. For the exact file formats and any limits that apply to you, contact us rather than guessing.
Can it tell speakers apart?
Speaker turns are part of what a structured transcript gives you, and they are the part most sensitive to recording conditions. Two people taking turns in a quiet room separate cleanly. Six people interrupting each other over a laptop microphone do not. If speaker labels matter to your work, record each voice as closely as your setup allows.
How accurate is it?
There is no single honest number, and any vendor who gives you one without naming the test audio is selling rather than measuring. Accuracy moves with microphone distance, background noise, accents, crosstalk and specialist vocabulary. The reliable test is your own hardest recording, read against the audio. Judge every provider that way, including this one.
How much editing will I still have to do?
Expect to read the transcript once with the audio to hand. On clean recordings that pass is quick: a few proper nouns, some punctuation preferences, the occasional misheard technical term. On difficult audio it is real work, and worth budgeting for. Anyone who tells you no review is needed has not listened to enough recordings.
Is my audio used to train anything?
No. Your recordings and transcripts are processed to produce your transcript and nothing else. They are protected in transit and in storage, and they are not treated as raw material for other purposes. If you need that stated formally for a client, an editor or an ethics committee, write to us and we will put it in writing.
When should I hire a human transcriber instead?
When the transcript is the record rather than a working document. Court and tribunal material, regulated proceedings, and anything requiring a certified verbatim text belong with a professional. The same applies to badly damaged audio, where a person reconstructing from context beats a model doing the same. For everything else, machine transcription plus your own review is faster and cheaper.
Questions about TRANSCRIPT.YOU?
Our team answers every enquiry — sales, service, support or press.
Contact TARGA