Turn Assamese audio
לְתוֹך text you can trust.

A different approach to Assamese transcription.

Assamese transcription means turning spoken Assamese, in Assam’s own script, into text a team can search, tag, and act on. Assamese is the official language of Assam and is also spoken in parts of Arunachal Pradesh, with diaspora communities in Bangladesh, Bhutan, and beyond. Assam and its diaspora generate a steady stream of recorded Assamese speech: news, research interviews, classroom lectures, and government consultations. Most of it never gets transcribed at all.

Why Assamese audio gets left untranscribed

General transcription tools support a short list of languages, and Assamese rarely makes the cut. Teams end up with a folder of recordings nobody can search, a researcher retyping a two-hour field interview by hand, or a government office writing up meeting notes from memory instead of from the recording. The audio exists. The text does not, and what gets written down later is a summary, not a record.

Reading tone, not just script

Speak AI transcribes Assamese audio and video in the Assamese script, with 100+ languages supported, and reads the recording itself: the words, plus the tone and energy of the speaker, and the visuals in video where relevant. A field interview about a government health program is transcribed the same way a newsroom clip is: text plus structured fields your team can search, tag, and report on. Then the questions start, run across your entire Assamese library with AI chat, using ChatGPT, Claude, and Gemini built in natively.

What teams ask their Assamese recordings

• “Which interviews mention the new agricultural subsidy program, and what did people say about it?”
• “Summarize the sentiment across this quarter’s community consultations.”
• “Show me every recording where a speaker mentions healthcare access.”
• “Which lectures cover this topic, and where in the recording does it come up?”

From a folder of recordings to a searchable library

The result is an Assamese library instead of a folder of unsearchable files, with trend-over-time לוחות מידע שתוכל להתאים אישית ולעבור ממיתוג לבן tracking sentiment and themes month over month instead of interview by interview. One education pioneer used embedded recorders to scale multilingual assessment across its program, including regional Indian languages: see how Interpreting.com built multilingual assessment at scale. And because Assamese recordings rarely stand alone in a multilingual project, the same engine transcribes the English, Hindi, or Bengali files sitting next to them, all queryable through the MCP server from Claude, ChatGPT, and Cursor.