AssemblyAI vs VoxAI

AssemblyAI

Audio

VoxAI

Audio

Tagline

AssemblyAI

Speech-to-text API with diarisation, summarisation, and topic detection.

VoxAI

Local macOS conversation recorder with live AI copilot and speaker-labelled transcripts

Pricing

AssemblyAI

Freemium· Pre-recorded Speech-to-Text API: $0.21 /hr · Universal-2: $0.15 /hr · Realtime Speech-to-Text API: $0.45 /hr · Universal-Streaming: $0.15 /hr · Universal-Streaming Multilingual: $0.15 /hr

VoxAI

Paid· FREE TRIAL: US$0 · EARLY BIRD · REGULAR: US$19.90

Lowest paid tier

AssemblyAI

$0.15 /hr · Universal-2

captured 2026-10-21

VoxAI

US$19.90 · EARLY BIRD

captured 2026-10-28

Free trial

AssemblyAI

Not listed

VoxAI

Yes

API

AssemblyAI

Not listed

VoxAI

Yes

Platforms

AssemblyAI

web

VoxAI

—

Hacker News stories

AssemblyAI

112

checked 2026-10-08

VoxAI

1

checked 2026-10-23

Earliest Wayback capture

AssemblyAI

2017-08-30

earliest archived capture of the site, not a launch date

VoxAI

2026-07-25

earliest archived capture of the site, not a launch date

Company

AssemblyAI

AssemblyAI

VoxAI

—

Model used

AssemblyAI

Universal / Slam-1

VoxAI

Bring-your-own via MCP (Claude, GPT, or other MCP-compatible clients)

Best for

AssemblyAI

Pick AssemblyAI when you need accurate streaming/batch ASR plus diarisation + summarisation without engineering it yourself.

VoxAI

Mac-based executives, sales reps, recruiters, and researchers who want local, subscription-free recording plus a live AI copilot and MCP-accessible transcript memory for their own agents.

Not for

AssemblyAI

Skip it at extreme volume — Whisper self-hosted is cheaper if engineering capacity is available.

VoxAI

Windows or mobile users, teams that need a shared library with admin controls, or anyone who wants a Zoom/Meet bot that joins calls on their behalf rather than capturing local audio.

Editorial score

AssemblyAI

8.7 / 10

VoxAI

—

Use cases

AssemblyAI

transcriptiondiarisationpodcast indexing

VoxAI

Real-time meeting transcription with speaker labelsLive AI copilot during sales calls and negotiationsInterview capture and structured note generation1:1 and standup summarisationQualitative research transcriptionPersonal searchable voice memory archiveFeeding conversation history to Claude Code or Cursor via MCPPost-call action item and follow-up extractionMarkdown export into Notion or Obsidian knowledge bases

Pros

AssemblyAI

• High accuracy
• Strong streaming API
• Lots of post-processing features
• Excellent SDKs and docs

VoxAI

• One-time ~$20 purchase with permanent license for two Macs — no recurring subscription
• Local-first: recordings and transcripts stay on the Mac in a permanent archive
• Live AI copilot reads the growing transcript and offers real-time suggestions during the call
• Automatic speaker diarisation with per-speaker labels
• Four purpose-built modes for meetings, phone calls, in-person chats, and voice sessions
• Exposes conversations via a local MCP server so Claude Code, Codex, or Cursor can query them
• Clean Markdown export for pasting into Notion, Obsidian, or a CRM
• 10 full-feature sessions free with no signup required

Cons

AssemblyAI

• More expensive than Whisper for high volume
• Latency varies

VoxAI

• macOS only — no Windows, Linux, iOS, web, or mobile client
• Requires wiring up an external AI provider for the copilot and post-call generation
• Solo-app model: no team workspace, shared library, or admin console
• Small indie product from a single developer domain — long-term support is not guaranteed
• MCP integration assumes users are already comfortable with Claude Code / Cursor tooling
• No native CRM, calendar, or Zoom bot integrations — capture is whatever the Mac hears

Website

AssemblyAI

www.assemblyai.com

VoxAI

voxai.ethanflow.com

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.