Turn Mongolian audio
в text you can trust.

A different approach to Mongolian transcription.

Mongolian is spoken by more than 5.2 million people, primarily across Mongolia and the Inner Mongolia Autonomous Region of China, with smaller communities in Russia, the United States, and South Korea. It carries a genuinely unusual dual-script history: the traditional Uighur-derived script, written vertically top to bottom, still holds cultural standing in Inner Mongolia, while Cyrillic became the everyday script in Mongolia itself. Layer in loanwords from Russian, Chinese, and Sanskrit and a phonetic system with sounds that are uncommon elsewhere, and turning spoken Mongolian into usable text has always meant either a bilingual transcriber working line by line, or software tuned for other languages that gets the words roughly right and drops everything else.

Where Mongolian transcription usually breaks down

Most transcription tools are trained on a handful of high-resource languages, and Mongolian rarely makes the list. Phonetically complex words get misheard, script assumptions built for one system misfire on the other, and tone, hesitation, or emphasis in the recording never make it into the transcript at all. Teams end up correcting entire passages by hand, which erases most of the time an automated tool was supposed to save.

Reading the recording, not just the words

Speak AI transcribes Mongolian audio and video with speaker labels and timestamps, then reads the recording itself: who is speaking, when a call shifts between Mongolian and English, and how the delivery changes across a long meeting or interview. Names, terms, and callback details are extracted into structured fields your team can search and query. Then you can ask across your entire Mongolian archive with AI chat, using ChatGPT, Claude, and Gemini built directly into the workspace.

• Mongolian audio and video, transcribed with speaker labels and translation into English or another language.
• Handles the Cyrillic script used in Mongolia today alongside the traditional vertical script still used in Inner Mongolia.
• Captions and subtitles (SRT, VTT) generated straight from the timestamped transcript.
• Export to Word, PDF, TXT, CSV, or JSON, depending on how your team needs to use it.

From one file to a searchable archive

The result is a Mongolian archive that behaves like a well-run English one. Site briefings, negotiations, and oral history interviews become searchable text instead of a folder of audio files nobody has time to relisten to, and dashboards you can customize and white-label track themes and volume across your Mongolian recordings over time. Interpreting.com’s multilingual assessment program scaled recordings across dozens of languages through this kind of workflow, without hiring a reviewer fluent in each one.

And because Mongolian recordings rarely live in isolation from the rest of your work, the same engine scores calls and coaches teams on the same criteria, connecting Mongolian transcription to call scoring and the wider база знань your team already runs on.