# Fathom vs Whisper (OpenAI)

Fathom records 5,620,385 monthly visits with +0.2% month-over-month growth and Freemium, Free Trial pricing. Whisper (OpenAI) records 0 monthly visits with — growth and Free pricing.

| Metric | [Fathom](https://openaitools.app/tool/fathom-2-0) | [Whisper (OpenAI)](https://openaitools.app/tool/whisper-github) |
| :--- | :--- | :--- |
| Website URL | https://fathom.video | https://github.com/openai/whisper |
| Categories | AI Note Taker, AI Meeting Assistant, AI Summarizer, AI Transcriber | AI Speech Recognition, AI Speech-to-Text, AI Transcriber, AI Translate |
| Pricing Model | Freemium, Free Trial | Free |
| Monthly Visits | 5,620,385 | 0 |
| MoM Growth Rate | +0.2% | — |
| Primary Market | United States | Global |
| Direct Visits | 4,071,452 | 0 |
| Review Score | 4.7 | 4.8 |
| Saved Count | 9 | 3 |
| Supported Platforms | Website | Open Source |

## Fathom

Fathom records and understands your online meetings so you can stay present instead of typing notes. It works across Zoom, Google Meet and Microsoft Teams, and can either join calls with a visible notetaker bot or capture them bot-free. After each call you get a searchable transcript, an instant AI summary, extracted action items and highlighted key moments delivered to your inbox.

Beyond basic notes, Fathom turns conversations into a searchable knowledge base. You can ask questions across past meetings, set automated topic trackers, and push notes and follow-ups into Slack, Salesforce, HubSpot, Notion and Asana. AI Scorecards add coaching metrics for sales and customer success teams, and integrations extend Fathom into ChatGPT, Claude and a public API.

Fathom offers a generous free tier and paid team plans, and is SOC 2 Type II, GDPR and HIPAA compliant with SSO/SCIM support. The company has been acquired by and is now part of Superhuman, which continues to develop the product.

**Pricing & Plans:** Freemium with a free-forever tier for individuals, plus paid Premium and Team plans billed per user. Enterprise options add SSO, SCIM and admin controls.

- **Bot-free and bot recording:** Capture meetings with a visible notetaker or completely bot-free, so you can record your way and keep participants comfortable.
- **Instant AI summaries and action items:** Get accurate transcripts, concise summaries and extracted to-dos delivered right after each call.
- **Ask Fathom across meetings:** Search and ask questions across your entire meeting history to surface decisions, commitments and patterns.
- **CRM and workflow sync:** Notes, insights and follow-ups flow automatically into Slack, Salesforce, HubSpot, Notion, Asana and other tools.
- **AI Scorecards and topic trackers:** Monitor key topics automatically and use AI Scorecards to coach sales and customer success teams with follow-up metrics.

**Strengths:** Generous free plan covers most individual needs; Bot-free recording option and workflow syncs with major tools; Strong accuracy and reliable summaries with SOC 2, GDPR and HIPAA compliance

**Limitations:** Best value features push teams toward paid per-user plans; Deep CRM and Scorecard features are aimed at larger sales organizations

[Profile (Markdown)](https://openaitools.app/tool/fathom-2-0.md)

## Whisper (OpenAI)

Whisper was introduced by OpenAI as a general-purpose speech recognition model trained on a very large, diverse dataset of web audio. Instead of stacking separate acoustic, language and punctuation modules, it treats every speech task as a token prediction problem: transcription, translation, language identification and voice activity detection all share one Transformer encoder-decoder and are distinguished by special task tokens. That single-model design is why a straightforward `pip install` is enough to get multilingual transcription running on a laptop, and why Whisper has become a de facto baseline for open speech-to-text work.

The repository ships six model sizes — tiny, base, small, medium, large and a faster turbo variant — trading accuracy for memory and speed. Each size also has an English-only `.en` counterpart that tends to score better on English audio, while the multilingual checkpoints are the ones to use when translating non-English speech into English. Practical VRAM needs range from roughly 1 GB for tiny up to about 10 GB for large, so the smaller checkpoints run comfortably on consumer hardware or even CPU, while large models are usually paired with a GPU.

Because Whisper is a model and a Python package rather than a hosted product, there is no dashboard, account or quota. You install it, point the command line at audio files, and write your own integration on top. It supports many audio formats through ffmpeg, and its per-language accuracy varies widely — strong for high-resource languages, weaker for low-resource ones — which is worth knowing before adopting it for production transcription.

**Pricing & Plans:** Free and open source. The code and weights are published on GitHub under the MIT license with no usage fees or per-minute charges, though you pay for whatever compute you run it on and any OpenAI API usage if you pair it with their hosted services.

- **Multitask single model:** One Transformer handles transcription, speech translation into English, language identification and voice activity detection, selected through special task tokens.
- **Multiple model sizes:** Choose from tiny, base, small, medium, large and turbo checkpoints, with English-only .en variants, to balance accuracy against VRAM and speed.
- **Broad language coverage:** Multilingual checkpoints transcribe and translate dozens of languages, with automatic language detection on mixed-language audio.
- **Command-line and Python API:** Install via pip with openai-whisper and transcribe files from the terminal or from your own Python code, with ffmpeg handling audio decoding.
- **Permissive MIT license:** Freely embed, modify and redistribute the code and weights in commercial and personal projects without licensing fees.

**Strengths:** Completely free and open source under a permissive MIT license; Strong multilingual accuracy across many languages with automatic detection; Runs locally, so audio never has to leave your hardware; Several model sizes let you match accuracy to available compute

**Limitations:** No hosted UI, account or support — you must install and operate it yourself; Large models need substantial VRAM and a GPU for reasonable speed; Accuracy drops noticeably on low-resource languages and noisy audio; Setup requires Python, PyTorch and ffmpeg, which can be fiddly for non-developers

[Profile (Markdown)](https://openaitools.app/tool/whisper-github.md)

## Frequently Asked Questions

### How do Fathom and Whisper (OpenAI) compare in monthly traffic?

Fathom has 5,620,385 monthly visits, while Whisper (OpenAI) has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Fathom has a month-over-month growth rate of +0.2%; Whisper (OpenAI) has —.

### How does pricing compare?

Fathom: Freemium, Free Trial. Freemium with a free-forever tier for individuals, plus paid Premium and Team plans billed per user. Enterprise options add SSO, SCIM and admin controls. Whisper (OpenAI): Free. Free and open source. The code and weights are published on GitHub under the MIT license with no usage fees or per-minute charges, though you pay for whatever compute you run it on and any OpenAI API usage if you pair it with their hosted services.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Otter AI](https://openaitools.app/tool/otter-ai) | 7,360,981 | +9.6% | Freemium | Provides strong live transcription and collaboration features, but can be more restrictive on free meeting limits. | [.md](https://openaitools.app/tool/otter-ai.md) |
| 2 | [Tactiq](https://openaitools.app/tool/tactiq) | 6,521,542 | +4.1% | Freemium | Transcribes meetings live via a browser extension without joining bots, but requires active browser participation. | [.md](https://openaitools.app/tool/tactiq.md) |
| 3 | [Fireflies.ai](https://openaitools.app/tool/fireflies-ai) | 4,411,502 | +3% | Freemium | Offers robust multi-language conversational search and CRM integrations, but lacks Fathom's streamlined free recording tier. | [.md](https://openaitools.app/tool/fireflies-ai.md) |
| 4 | [Happy Scribe](https://openaitools.app/tool/happyscribe-com) | 4,088,330 | +8% | Freemium, Free Trial, Paid | AI transcription and meeting notes in 150+ languages | [.md](https://openaitools.app/tool/happyscribe-com.md) |
| 5 | [Notta](https://openaitools.app/tool/notta) | 2,585,354 | +2% | Freemium, Paid, Contact for Pricing | AI note taker that transcribes, summarizes and visualizes meetings | [.md](https://openaitools.app/tool/notta.md) |
| 6 | [tl;dv](https://openaitools.app/tool/tldv-io) | 1,396,729 | +1.9% | Freemium | Excels at capturing and clipping video calls across platforms, but has a less polished action item workflow. | [.md](https://openaitools.app/tool/tldv-io.md) |
| 7 | [Video Transcriber AI](https://openaitools.app/tool/video-transcriber-ai) | 1,320,064 | +11% | Freemium | Turn any video or audio into text in seconds | [.md](https://openaitools.app/tool/video-transcriber-ai.md) |
| 8 | [Deepgram Voice AI](https://openaitools.app/tool/deepgram-voice-ai) | 863,852 | +31.8% | Free Trial | Real-time speech-to-text, text-to-speech and voice agents in one API platform | [.md](https://openaitools.app/tool/deepgram-voice-ai.md) |
| 9 | [Transkriptor](https://openaitools.app/tool/transkriptor-com) | 628,671 | -3.6% | Free Trial, Paid | AI transcription that turns audio and video into searchable text | [.md](https://openaitools.app/tool/transkriptor-com.md) |
| 10 | [AssemblyAI](https://openaitools.app/tool/assemblyai) | 453,591 | -6.9% | Freemium, Contact for Pricing | Speech-to-text and voice intelligence APIs for developers | [.md](https://openaitools.app/tool/assemblyai.md) |

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Source: https://openaitools.app/compare/fathom-2-0-vs-whisper-github

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