Hindi transcription services

Because the choice is not vocabulary, it is grammar. Hindi's three second-person pronouns each force their own verb agreement, so the whole sentence takes a different shape depending on who is being addressed. Tu can read as intimate or dismissive, tum as neutral, aap as respectful. A transcript that keeps the pronoun keeps a fact about the relationship between speaker and listener.

It can, if nobody flags it. English "you" does not carry the same three-way social information, so a straight translation can quietly erase which register was used. We note the register alongside the translation where it matters — a workplace investigation or a deposition, for instance — rather than letting it disappear into a single neutral word.

It transcribes the pronoun and the verb form correctly enough as text, but it does not flag what they mean socially, because that requires knowing the relationship between the speakers, not just recognising the audio. A native Hindi transcriber reads tu, tum and aap as signal, not noise, and a project brief tells us when that signal needs to be called out explicitly.

No, and that is the distinction worth making. Vocabulary register is a separate question about which words a speaker chooses. Tu, tum and aap are pronouns with their own grammaticalised verb agreement, present in ordinary speech regardless of how formal or casual the vocabulary around them is. The two systems can move independently of each other in the same recording.

There is no flat rate, because no two files take the same work. Runtime, recording quality, how many people are talking, your deadline and whether you also need an English version all move the figure. So does whether register needs to be flagged explicitly in translation, which is extra editorial attention on top of the transcript itself. Every quote carries our Price Match Promise.

Upload is encrypted, the file goes to one named Hindi transcriber who has signed an NDA, and nothing is put through public speech-to-text services at any point. If you have your own confidentiality agreement we sign it, if you have retention rules we work to them, and if your policy says the audio goes once the transcript is approved, we delete it.

It is normal work. Phone audio, meeting rooms, focus groups and interviews where three people speak at once all get transcribed. What difficult audio changes is time, and occasionally certainty about a word or a boundary. We listen to a sample first and tell you straight what we expect to be able to capture, rather than handing you a file peppered with inaudible tags.

In whatever the next step needs: plain text, Word, PDF, SRT, VTT or your own template, with timecodes and speaker labels set the way you want them. Devanagari is delivered in Unicode so it displays correctly wherever it lands, and where register is relevant to the document, we note it against the relevant lines.