Turn Nepali audio
σε text you can trust.

A different approach to Nepali transcription.

Nepali transcription is the process of turning spoken or written Nepali, in Devanagari script, into structured text and insight: who said what, how confident or urgent they sounded, and what themes run across an entire archive. NGOs, researchers, media teams, and language programs have needed this for years, whether the source is a field interview in Sindhupalchok, a lecture in Kathmandu, or a call from a Nepali-speaking customer in the diaspora.

Why Nepali transcription breaks down elsewhere

Most transcription tools treat Nepali as an afterthought bolted onto an English-first product: unreliable Devanagari rendering, no handling for dialect or code-switching, and analysis that stops at the words. Field teams end up transcribing by hand, one interview at a time, because the automated option produced garbled script or dropped half the recording. Researchers translate before they analyze, losing nuance in the process, and what should be a searchable archive stays a pile of untouched audio files.

Reading the message, not just the words

Speak AI transcribes Nepali speech into clean Devanagari script, with 100+ languages supported across the same platform, and then reads the recording itself: the tone, pacing, and energy in a speaker’s voice, plus visual cues on video recordings. Names, locations, and themes are extracted into structured fields your team can filter and search. The same recordings can be analyzed with Claude, ChatGPT, or Gemini, or queried directly by any assistant through the MCP server, so your workflow is never locked to a single model.

What teams ask their Nepali archive

• “What themes come up most across our Sindhupalchok field interviews this quarter?”
• “Which interviewees or callers sounded frustrated or uncertain, and why?”
• “Show every recording that mentions a specific health post, village, or program by name.”
• “Summarize what students said about the new curriculum, in English and in Nepali.”
• “Which trekking guide briefings covered the updated safety protocol, and which didn’t?”

From an audio archive to a searchable record

The result is an archive that answers back. Interviews, lectures, and calls in Nepali become a searchable library instead of a folder of files nobody reopens, and dashboards you can customize and white-label track themes and sentiment over time, so this quarter’s fieldwork is measured against last quarter’s. An education-focused assessment program used the same embedded-recorder approach to scale multilingual assessment across languages, without adding a reviewer for every new language its programs support.

And because Nepali recordings rarely stay in one format, transcripts export to Word, PDF, SRT, and VTT for captions and subtitles, and the same engine scores calls and coaches teams on the same criteria, connecting Nepali transcription to call scoring και coaching across every conversation your team has.