AssemblyAI gives your business a way to turn speech into text using a simple API.
Transcribes audio and video recordings into text in 99 languages
Identifies individual speakers and timestamps their dialogue automatically
Summarizes conversations and detects topics, chapters, and sentiment
Flags sensitive or inappropriate content for moderation purposes
Lets you ask AI-powered questions about your transcripts using the LeMUR framework
Integrates via REST API, official SDKs, or no-code platforms like Make.com
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Supports audio transcription with speaker diarization, sentiment analysis, entity detection, PII redaction, and LLM Gateway.
AssemblyAI can automatically detect speakers, summarize conversations, analyze sentiment, flag sensitive content, and break audio into chapters. Their LeMUR feature lets you ask plain-language questions about your transcripts using large language models, so you can pull out action items or key insights without any extra setup.
Source: AssemblyAI Speech-to-Text API·Verified March 2026
AssemblyAI is best for small businesses that have a developer on staff and need to automatically transcribe and analyze audio at scale — think call centers, podcasters, or teams recording lots of meetings. The accuracy and AI features like speaker detection and summaries are genuinely impressive, and the pay-as-you-go pricing at $0.15 per hour keeps costs low if your volume is modest. The big catch is that this is a developer tool, not a plug-and-play app, so if you don't have someone who can write code or set up API connections, you'll hit a wall fast.
AI-generated training guides tailored to your team's size, skill level, and focus areas for AssemblyAI — coming in v0.3.2.
View our roadmap →We're building a review system so business owners like you can share real experiences with AssemblyAI.
Last researched: March 2026
