Translate Audio Recordings Into Any Language

Upload your audio file and Transkio transcribes it in the language it was spoken in, with speaker labels and clickable timestamps you can edit directly. From that finished transcript, choose a target language and Transkio generates a translated text version of the conversation — no re-uploading, no separate translation software, no copy-pasting between tools.

The translated output is a readable transcript, not a dubbed audio track or a translated caption file — built for reading, sharing in a report, or dropping into meeting notes.

Translation is a follow-up step on a transcript that already exists, which is why the source-language transcript stays available even after you translate it — you're never forced to choose between having the original wording and having the translated version; both live in the same project. Translation is available from the Pro plan and up.

Because both versions live in the same place, checking a translated line against what was actually said is a matter of scrolling to the same timestamp in the original transcript, not hunting through two disconnected documents trying to match them up by content.

Multilingual and multinational teams are the clearest case: a regional office runs a call in the local language, and headquarters needs to know what was actually discussed without waiting for someone to write up a summary by hand. A translated transcript gives every stakeholder the same source material, in a language they can read, instead of a paraphrased recap that's already lost detail by the time it reaches them.

Researchers conducting interviews in a language other than the one they'll publish in are another common case — a fieldwork interview conducted in the participant's native language needs to become readable, quotable text in the research team's working language before it can be coded, analyzed, or cited, and translating a clean transcript is far more reliable than translating on the fly while listening.

International sales and customer-support teams use it to make foreign-language calls legible to teammates who don't speak that language — a discovery call conducted in Portuguese becomes something an English-speaking product manager can actually read and act on. Legal and business teams use it similarly for supplier calls, negotiation recordings, and cross-border correspondence conducted verbally rather than in writing.

To be direct about it: Transkio's translation feature produces translated text — a written document in the target language, derived from the original transcript. It is not audio dubbing, meaning it doesn't generate a new spoken audio track with a synthetic or human voice reading the translation aloud. It is not translated captioning either — SRT and VTT subtitle exports stay in the recording's original spoken language, timed to the original audio; there's no translated caption file that swaps in target-language text synced to the same timestamps.

This isn't a temporary limitation being coy about a roadmap — it's a description of what the feature does today, stated plainly so you can decide if it's the right tool before you rely on it. If your project genuinely needs dubbed audio (a new voice track in another language) or translated subtitles burned into or synced with a video, a translated transcript from Transkio is a useful input to that process — a human dubbing studio or a subtitle localization service would still need a text version of what was said — but it isn't the finished product for either of those use cases by itself.

Where a translated transcript excels is exactly where the name suggests: as a document. Something to read, paste into a report, forward in an email, or drop into meeting notes, in a language the recipient can actually use without needing the original audio at all.

A common failure mode with copy-paste translation workflows is losing track of who said what — paste a wall of unlabeled text into a translation tool and the output comes back the same way, a wall of text with no speaker structure at all. Transkio's translation keeps the same speaker labels and structure as the original transcript, so a translated version of a multi-person call still reads as a conversation between identified speakers rather than one undifferentiated block.

That structural consistency is also what makes checking a translation against the source fast: the same speaker turns appear in the same order in both versions, so following along line by line doesn't require guessing which translated sentence corresponds to which original one.

Upload the audio file the same way you would for any transcription — no special preparation is needed because it's going to be translated afterward. Transkio transcribes it in the language it was spoken in, with speaker labels and timestamps, exactly as it would for a recording you never intended to translate.

Review that original transcript first. This step is easy to skip when you're in a hurry, but it's the highest-leverage moment to catch an error, since a mistake here otherwise propagates into the translated version too.

Once the transcript reads correctly, request a translation into your target language. The translated version appears alongside the original, with the same speaker structure preserved, ready to review, export, or share.

Qualitative research often means interviewing people in the language they're most comfortable speaking, which is frequently not the language the research will ultimately be published or presented in. Translating on the fly while conducting the interview — or relying on memory afterward — introduces exactly the kind of imprecision that undermines a research record meant to be quoted and cited.

Transcribing first, in the language the interview was actually conducted in, preserves the original wording as a permanent, checkable record — useful on its own for anyone on the research team who reads that language, and as the foundation for an accurate translation for anyone who doesn't. Coding, categorizing, and analyzing interview data generally works better against a translated document than against an interviewer's paraphrased notes.

Because both the source-language and translated transcripts stay linked to the same project, a researcher can always go back to the original wording to check a translated quote before including it in a paper or report — an important safeguard when precise language matters as much as it does in published research.

The most common mistake is translating before reviewing the original transcript — any misheard word or name in the source carries into the translation, often becoming harder to notice once it's embedded in a language you may not read as fluently. A quick pass over the original transcript before translating catches most of these issues before they compound.

Another common mistake is treating machine translation as a finished product rather than a strong draft, particularly for technical, legal, or highly idiomatic language, where a literal translation can miss the intended meaning. Because the translated transcript is editable, it's worth having someone who reads the target language give it a final look before it's used for anything consequential — a contract discussion, a legal record, or a public-facing document.

A third mistake is assuming a translated transcript can substitute for translated subtitles or dubbed audio in a video project — as covered above, it can't. Confirm which of the two you actually need before building a workflow around either assumption.

Audio you upload for transcription and translation is stored privately to your account and transmitted over an encrypted connection — nobody else can see a recording, its transcript, or its translation unless you export and share it yourself. You can delete a file, its transcript, and any translations at any time. Transkio doesn't claim a specific compliance certification, so if your organization or research protocol requires one for a particular category of recording, verify your own requirements before relying on any transcription or translation tool for that data.

This matters more for translation specifically than for plain transcription in one respect: a translated business or research recording is often being prepared specifically to circulate more widely inside an organization, precisely because more people can now read it. It's worth being deliberate about who that translated document is shared with, the same way you would be with any other sensitive internal document.

A podcast episode, recorded talk, or public presentation given in one language reaches only the audience that speaks it, even when the content itself would be useful to a much wider group. Transcribing and translating that recording turns it into a written document a broader audience can actually read, without needing to re-record or re-produce anything.

This is a different use case from dubbing an episode into another language for listeners who want audio — it's about making the content of a spoken piece accessible as text to readers of another language, the same way a translated article would be. For show notes, a blog recap, or a written summary aimed at an international audience, a translated transcript is a direct, practical starting point.