Awadhi transcription services

Because it has no settled modern orthographic standard. Most languages hand a transcriber an external authority to defer to; Awadhi does not, so the same word can be written more than one defensible way and nothing decides which. Without a convention agreed up front, a long transcript ends up spelling the same word two or three ways, which breaks searching, comparison and any use of the text as data.

Decisions rather than definitions: how particular sounds are represented in Devanagari, how loanwords from Hindi, Urdu and English are written, how proper nouns and place names are handled, and what to do with forms that vary between speakers. We produce it at the start, keep it with the project, and check finished files against it as well as against the audio.

It is routinely counted under Hindi in Indian census returns, which is where that idea comes from, but it is a distinct Eastern Indo-Aryan language with its own grammar, vocabulary and a major literary tradition of its own. For transcription the practical point is simpler than the classification argument: a Hindi transcriber working on Awadhi audio produces approximate Hindi, not accurate Awadhi, and the difference shows up throughout.

Tell us, because they are far apart. The Awadhi most people have encountered is Tulsidas's Ramcharitmanas, written in the sixteenth century, and a transcriber who knows the language mainly through that tradition will tend to formalise ordinary speech. For fieldwork, oral history and community material you almost always want the spoken register recorded as spoken. For devotional or performance recordings the literary forms may be exactly right.

Yes, and most do. Speakers move between Awadhi and standard Hindi depending on who they are talking to and about what. We transcribe what is said and, where it matters to you, mark the shifts, so the transcript reflects the actual texture of the recording rather than flattening it into one variety.

Most short projects are delivered within 24 to 48 hours, but the exact turnaround depends on audio length, audio quality and whether time-coding is required. On a first project we build the convention list at the start, which adds a little at the front and saves considerably more later. Your project manager will confirm the timeline.

Automated models for Awadhi barely exist, and the tools that appear to handle it are generally Hindi models producing plausible Hindi from Awadhi audio. Because the output reads fluently, the errors are hard to spot without a native speaker checking against the recording — which is the slow way of arriving at what a native transcript gives you directly.

Yes. Files are uploaded through an encrypted system, handled by a named transcriber under NDA, and never fed into public speech-to-text tools. We can sign your own confidentiality agreement, work to your retention rules and delete everything on delivery.

Word, PDF, plain text, Excel or a subtitle-ready file, with timecodes and speaker labels where you need them. Tell us what the transcript is for and we will deliver it in the format the next step requires.