AssemblyAI
AssemblyAI transcription and LeMUR analysis
AssemblyAI is the audio-AI platform — transcription with speaker diarization, sentiment analysis, content moderation, plus LeMUR (the LLM that operates on transcripts: summarise, ask questions, extract structured data from a transcript). Tiny Command exposes three actions, no triggers: Transcribe Audio (submit audio for transcription — returns a transcript ID immediately; AssemblyAI processes async), Get Transcript (poll for status; when complete, returns text + word-level timestamps + speakers + optional sentiment per utterance), LeMUR Task (run an LLM task against a completed transcript — summarise, question-answer, extract structured data into a schema). The connection uses an AssemblyAI API key from the dashboard. Transcription latency is roughly 25% of audio duration (a 60-minute call transcribes in ~15 minutes) on the Best tier; faster on the Nano tier with slightly lower accuracy. The LeMUR layer is the differentiator — instead of post-processing transcripts with your own LLM, LeMUR does it natively with context-window optimisations.
Do anything AssemblyAI can do, from a workflow.
Every action accepts dynamic inputs from upstream nodes, whether that's an AI output, a form field, or a search result.
| Action | What it does |
|---|---|
| Get Transcript | Returns the transcript by ID with the full text, word-level timestamps, speaker labels (if diarization was on), sentiment per utterance (if enabled), and the AI-generated summary. Poll until status=completed or pair with the transcript-ready webhook. |
| LeMUR Task on Transcript | Runs an LLM task (summarise, Q&A, extract structured data) against one or more completed transcripts. Saves the chain of "fetch transcript → LLM call" by bundling both server-side. Useful for "summarise this call, extract action items as JSON" post-call workflows. |
| Transcribe Audio | Submits an audio URL for transcription with options for speaker diarization, language detection, sentiment analysis, PII redaction, custom vocabulary. Returns the transcript ID; processing takes ~25% of audio duration on the Best tier. |
Pre-built AssemblyAI workflows.
Clone any recipe and customize it in one click. Every recipe is fully editable.
Three things worth knowing.
Tiny Command counts a run the moment a trigger fires. Filtering early means only matching events spend your usage budget.
Connect AssemblyAI once and every workflow on your account can use its triggers and actions. You don't have to re-auth per workflow.
Every AssemblyAI field shows up in the visual picker for downstream nodes. The raw payload is there for power users, optional for everyone else.
Questions about the AssemblyAI integration.
If we missed yours, ping support. We usually reply within an hour.
How do I connect AssemblyAI to Tiny Command?
What AssemblyAI triggers does Tiny Command support?
What AssemblyAI actions can I run from a workflow?
Is the AssemblyAI integration real-time?
Do I need to write code to use AssemblyAI with Tiny Command?
How much does the AssemblyAI integration cost?
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Do more with AssemblyAI.
Wire it to Slack, Notion, HubSpot, Stripe, or any of the other 438 apps in our catalog. Setup takes roughly two minutes. Free to try, no credit card.
