LeMUR vs AssemblyAI

Side-by-side — pricing, strengths, tradeoffs, and fit.

LeMUR

Reason over spoken data with ease using LeMUR's API.

AssemblyAI

Speech AI for developers

At a glance

Open Source
◌ Declining·From Contact sales
Free Tier
· Not enough data·From Freemium

Overview

One-liner

Reason over spoken data with ease using LeMUR's API.

One-liner

Speech AI for developers

Maturity

Declining

Maturity

Not enough data

Open source

✓ Yes

Open source

✕ No

Pricing

Free tier

✕ None

Free tier

✓ Available

Starts at

Contact sales

Starts at

Freemium

Model

Usage-based

Model

Usage-based

Enterprise

✕ None

Enterprise

✕ None

Best for

✓ Best for

Developers who need to integrate speech recognition into their applications without extensive AI expertise
Projects requiring scalable and efficient handling of spoken data analysis

✓ Best for

Developers building apps that need transcription plus audio intelligence features like PII redaction, topic detection, and summarization

Not ideal for

✕ Not for

Teams needing real-time processing capabilities (LeMUR may have latency)
Budget-constrained projects where cost per request is a significant factor

✕ Not for

Real-time sub-200ms voice streaming that requires Deepgram-level speed

Strengths

↑ Strengths

Simple API for speech analysis and reasoning
Integration with existing applications through RESTful endpoints
Scalable solution for handling large volumes of spoken data

↑ Strengths

Transcription
Speaker diarization
Lemur (LLM on audio)
Sentiment analysis

Weaknesses

↓ Weaknesses

Limited language support beyond English
Expensive at scale due to per-minute pricing model

↓ Weaknesses

—

Full LeMUR profile →Full AssemblyAI profile →