Build a Real-Time Interpreter Agent for Live Multilingual Meetings
Give every participant a live meeting in their own language, with no round-trip delay waiting for a full sentence.
Download workflow config (JSON)How the data moves
This is a handoff plan, not an automatic integration. Review outputs before the next step. Unlabeled arrows show order, not a verified data format. Use the capability links to explore tool substitutions.
Step 1
Stream the Audio Instead of Batching It
Connect to Deepgram's real-time streaming endpoint over WebSocket rather than its batch transcription API, with interim results turned on so you get partial transcripts as someone speaks, not just a finished transcript after they stop.
Step 2
Translate on Rolling Chunks, Not Full Sentences
Send each finalized transcript chunk to DeepL as it lands rather than waiting to accumulate a full meeting transcript first, since translating everything at once reintroduces the exact delay a real-time pipeline is supposed to remove.
Step 3
Generate Spoken Output Per Language
Route each translated chunk to ElevenLabs' low-latency streaming model to synthesize speech in the target language, running one output stream per language a participant actually needs.
Step 4
Set a Hard Latency Budget and Test Against It
Measure the real end-to-end delay from spoken word to translated audio output. Anything past 2 to 3 seconds starts to break the feel of a live conversation, so treat that number as a pass or fail gate on the whole pipeline, not an aspiration.
Tools
No catalog tool specified
Step 5
Know What Doesn't Transfer
This translates chunks as they land, not full sentences with complete intent, so idiom, tone, and context lag well behind what a human interpreter would catch. Overlapping speakers or fast back-and-forth can desync the pipeline, since each language stream processes independently. Do not treat this as a substitute for a certified human interpreter in a legal, medical, or diplomatic setting where a mistranslation has real consequences.
Tools
No catalog tool specified
Time Required
3 hours, one-time setup
Expected Result
A live meeting pipeline that streams transcription, translation, and spoken output in near real time for every language a participant needs.
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