Is noise a bigger problem than the language?
For us, the language comes first. The recording language is detected automatically.
Transcribe Mongolian audio to text: our engine writes down 99+ languages, AssemblyAI lists Mongolian among 99 languages. What to do with a noisy site recording.
Mongolian is not one of our 99+ languages, and a file in Mongolian will not be transcribed by our engine. AssemblyAI lists Mongolian among 99 languages (assemblyai.com/languages, read 22 October 2026). Give the Mongolian recording to them; the 99+ languages part can come to us.
A recording made outside carries its own problems: wind, engines, people who speak over each other. The language question is separate from the noise question. The recording language is detected automatically.
| What | Value |
|---|---|
| Mongolian speech | on our list — our engine has 99+ languages |
| A service that lists Mongolian | AssemblyAI lists 99 languages, Mongolian among them |
| Speed | 0.84 s to transcribe a short file, 0.39 s to detect its language |
| Speakers | named separately, on request |
The wind is a problem for any engine. The language is a problem for ours: find where the talk switches to Mongolian and mark that minute.
AssemblyAI publishes 99 languages, Mongolian among them, read on 22 October 2026. The link sits in the sources below.
Drop it on the widget above: up to 30 minutes. Switch on the split by speaker when the voices are clear enough to tell apart.
The opening minutes of a site recording are the worst, because the person is still walking. Check them against the tape before you quote anyone.
Record the first minute standing still, not walking.
Mark the minute where the language changes.
Quote the transcript against the tape, not from memory.
Keep the recording next to the export.
For us, the language comes first. The recording language is detected automatically.
Yes, switch on the split by speaker before the upload. Where the voices overlap the names will be wrong too, and the first minute has to be checked by ear.
$10 a month when you pay yearly, or $20 a month when you pay monthly, with no minute limit of audio a month as fair use, the DOCX export, the REST API and the MCP server.
Yes. A REST API, an MCP server with four tools, and plugins for Claude and ChatGPT. A file goes in with a language of ru, en or auto.
The transcript is kept in your account, so a word can be fixed and the file exported again. The audio is never used to train models for other customers and never sold.
Speakers by name, a time on every line, export to TXT, SRT, VTT, CSV and Markdown.