VoxAI vs WhisperAPI

VoxAI

Audio

WhisperAPI

Audio

Tagline

VoxAI

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

WhisperAPI

Hosted OpenAI Whisper transcription with a pay-as-you-go API and drop-in web dashboard.

Pricing

VoxAI

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

WhisperAPI

Paid· 20 API Credits: $5 · 100 API Credits: $20 · 200 API Credits: $30 · Custom: $100.00

Lowest paid tier

VoxAI

US$19.90 · EARLY BIRD

captured 2026-10-28

WhisperAPI

$5 · 20 API Credits

captured 2026-08-09

Free trial

VoxAI

Yes

WhisperAPI

Not listed

API

VoxAI

Yes

WhisperAPI

Yes

Platforms

VoxAI

—

WhisperAPI

api

Hacker News stories

VoxAI

1

checked 2026-10-23

WhisperAPI

0

checked 2026-10-23

Earliest Wayback capture

VoxAI

2026-07-25

earliest archived capture of the site, not a launch date

WhisperAPI

2025-03-25

earliest archived capture of the site, not a launch date

Model used

VoxAI

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

WhisperAPI

OpenAI Whisper

Best for

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.

WhisperAPI

Pick WhisperAPI if you need a no-fuss, pay-per-use Whisper endpoint for transcribing files without managing GPUs or juggling OpenAI keys.

Not for

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.

WhisperAPI

Skip it if you need speaker diarization, real-time streaming captions, or you're already comfortable self-hosting whisper.cpp or faster-whisper.

Editorial score

VoxAI

—

WhisperAPI

6.9 / 10

Use cases

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

WhisperAPI

audio-transcriptionvideo-subtitlesmultilingual-transcriptionpodcast-to-text

Pros

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

WhisperAPI

• Hosted Whisper with no GPU or OpenAI key required
• Generous 10GB file size and 98+ language coverage
• Credits never expire and no monthly minimums
• Outputs JSON, VTT, DOCX, PDF out of the box

Cons

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

WhisperAPI

• More expensive than self-hosting open-source Whisper
• No advertised diarization or real-time streaming
• Thin product surface - essentially a Whisper wrapper

Website

VoxAI

voxai.ethanflow.com

WhisperAPI

whisper-api.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.