Fathom vs voxai

Fathom and voxai are both meeting assistants tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Fathom

Fathom sits in the crowded meeting-intelligence space alongside Gong and Otter, but positions itself as a passive capture tool rather than a coaching platform. It records video calls across Zoom, Teams, and Google Meet, then generates summaries and action items automatically—users report reclaiming roughly 38 minutes per meeting. The free tier is genuinely unlimited for one user; paid plans scale to enterprise teams with shared visibility. The main friction: exact pricing isn't listed on the homepage, forcing a sales conversation to know costs. Language support and international availability remain unclear from public-facing materials, a notable gap for global teams.

voxai

VoxAI runs entirely on macOS, records locally, and splits your mic from system audio on calls so speaker labels come from channel identity rather than voice-guessing. It connects to Claude, Cursor, or any MCP-compatible client via a single copied prompt — no extension installs, no Python environment, no API-key configuration step. The AI reads the growing transcript in a side panel and can surface risks, questions, or draft action items mid-conversation. The wall appears at ten sessions: after the trial, new recordings cap at ten minutes until you unlock the paid tier. Teams who run long client calls or multi-hour workshops hit that ceiling fast.

Attribute	Fathom	voxai
Pricing	Paid	Paid
Price	$19/mo per user	$19.99 one-time or $19.90 direct
Free trial	90 days	No
Open source	No	Yes
Has API	Yes	No
Self-hosted option	No	Yes
Platforms	Web	macOS (Apple Silicon, 14+)
Languages	English	—
Released	2019	—
Pros	Automatically generates summaries and action items, saving average 38 minutes per meeting Searchable transcripts and ability to query past conversations with Ask Fathom feature Works across team sizes from 1 to 1000 with shared visibility and consistent execution SOC 2 Type II, GDPR, HIPAA compliant with SSO/SCIM support Eliminates manual follow-ups and administrative overhead	Live transcript streaming to your AI client during the conversation, so advice on a negotiation risk or a contract clause arrives while you can still act on it — not in the debrief. Channel-based speaker identification on calls (mic vs. system audio), which means labels are accurate even when voices are similar, so you avoid the manual cleanup that ruins a transcript's usefulness. Fully local recording and transcription with cloud explicitly opt-in, so sensitive client conversations, legal interviews, or internal strategy calls never leave the machine by default. One-time purchase with no account required, so there is no subscription to manage and no credential to rotate when someone leaves the team. MCP connection via a single copied prompt — no extension, no environment setup — which means an AI client like Claude or Cursor is live in under two minutes, and the setup does not break on macOS updates.
Cons	Specific pricing details not shown on homepage No mention of supported languages or international availability	The trial caps at ten sessions before new recordings are limited to ten minutes — teams running long client calls, extended interviews, or multi-hour workshops will hit the ten-minute ceiling before they can fully evaluate whether the tool fits their workload, which pushes the purchase decision earlier than the trial design implies. macOS 14 and Apple Silicon are required with no Windows or Linux support described anywhere in the vendor materials — cross-platform teams cannot standardize on this tool, and members on non-Apple hardware must use a different transcription workflow entirely, which usually means the team abandons VoxAI for a browser-based alternative like Otter or Fireflies that runs on any OS. There is no API exposed and the tool is not agentic — it streams context to your AI but does not act on it autonomously. Teams who want the AI to automatically file action items, send follow-up emails, or update a CRM from the transcript must build that layer themselves in their AI client, which means the automation work lands outside VoxAI.

Bottom line

Voxai is open source; only Fathom exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Fathom and voxai?

Fathom is Paid, while voxai is Paid and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Fathom better than voxai?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

Fathom vs voxai: which should I pick?

Pick Fathom if its pricing model, openness, or platform fit matches your constraints; pick voxai otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.