Hinglish and Indic language meeting notes on Mac with Muesli

Muesli can turn a Hinglish or Indic-language meeting into a local transcript using Bodhan Core or Flex on an Apple Silicon Mac. You can then generate structured meeting notes with your configured summarization model. Bodhan support starts with Muesli 0.8.4 and requires macOS 15 or later. Muesli’s versioned model and meeting guide

The speech recognition models are developed by Bodhan AI. Read the team’s Indic-Transcribe research article for the model family, language coverage, and output modes. Muesli adapts Core and Flex for local use on Apple Silicon.

Keep the Hindi, English, and decisions together

A project discussion may move from Hindi explanations to English product names, deadlines, and technical details. A Tamil or Bengali conversation can follow the same pattern. Useful meeting notes need to retain the decision, who owns the next step, and when it is due, whichever language carried that information.

Start with the transcript as the record of what was said. Then review the summary against it. A short, polished action item can still contain the wrong name or date if an earlier transcription error passes through.

Choose Bodhan for the meeting transcript

Muesli offers Core for native-script output and Flex for mixed-script output. For a Hindi-English meeting, Flex is a practical first model to try: Hindi appears in Devanagari while English terms can remain in Latin letters. Muesli 0.8.4 does not expose Flex’s upstream Romanized-output mode as an app setting.

Both models cover India’s 22 scheduled languages. Core supports 25 languages in total and Flex supports 27, including English. Choose the main language of the discussion or evaluate automatic detection on a short sample. Coverage does not guarantee equal results for every accent, overlapping conversation, or combination of languages. Bodhan Core and Flex model cards describe the upstream models.

Set up a Hinglish or Indic-language meeting

• Download and prepare Bodhan Core or Flex in Muesli’s Models tab. Choose the language and FP16 or INT8 variant you want to use.
• Select Bodhan as the meeting transcription model. Check which model is responsible for the final transcript if you also use a live-transcript mode.
• Check microphone and system-audio capture with a short call. Confirm that both your voice and the remote participant’s voice appear in the saved transcript.
• Let participants know you are recording, start a meeting recording in Muesli, and use your usual call app.
• After the meeting, review the transcript before sharing the notes. Check names, quantities, deadlines, and any words spoken while people were talking over one another.

Muesli captures microphone and system audio on your Mac. It does not need a separate meeting bot to join the call. Bodhan is a final-transcription model in Muesli; selecting it does not provide a Bodhan-powered streaming caption mode. See the meeting transcription overview for the recording workflow.

Turn the transcript into meeting notes

Bodhan handles speech recognition. Muesli’s configured summary model creates the meeting notes from the transcript. Available summary options include OpenAI, OpenRouter, a ChatGPT subscription connection, and local Ollama models. Choose a summary model that handles the languages in your discussion, then use a built-in or custom meeting template.

Decide how your team wants to read the notes: English, an Indic language, or a mixture that preserves the original terminology. You can include that preference in a custom template. Treat the following as a suggested instruction to evaluate with your chosen summary model:

“Write the meeting notes in English. Preserve people’s names, product names, and quoted Hindi or other Indic phrases. List decisions, open questions, and action items with an owner and due date only when the transcript states them. Mark unclear details for review.”

For Hindi notes, change the requested output language to Hindi and specify how English technical terms should appear. The result depends on the summarization model and the quality of the transcript. Review the notes alongside the original conversation before assigning work.

A short Hindi-English meeting to test

Try a two-person practice call with a task, an owner, and a deadline. One person could say, “Riya design update Thursday ko bhejegi.” The other could add, “English summary mein pending questions bhi include karna.” These are sample prompts for your own evaluation, rather than recorded benchmark results.

• Confirm that Riya is attached to the design update and Thursday remains the deadline.
• Check that the request to include pending questions survives in the notes.
• Read English feature names and Hindi phrasing against the recording.
• Try a second sample with the Indic language and vocabulary your team uses most often.

What stays on your Mac?

Bodhan transcription runs locally after its assets are downloaded and prepared. Hosted summary providers receive the transcript text used to generate notes. If you want local summarization too, configure a local Ollama model and test its ability to handle your meeting’s languages. Review optional sync and processing settings as part of that setup.

Can I export or use the notes with coding agents?

Muesli supports PDF and Markdown export for meeting notes and transcripts. Its bundled CLI also lets local coding agents read saved meeting records and write updated notes. A useful workflow is to review a Hinglish technical discussion, then ask your agent to turn the confirmed action items into an implementation plan. Hosted agents may receive the text you provide. See the coding-agent documentation.

Download Muesli to try a short meeting with Bodhan. For individual messages and documents, read Hinglish and Indic language dictation on Mac with Muesli.