# Fireflies.ai vs Whisper (OpenAI)

Fireflies.ai records 4,411,502 monthly visits with +3% month-over-month growth and Freemium pricing. Whisper (OpenAI) records 0 monthly visits with — growth and Free pricing.

| Metric | [Fireflies.ai](https://openaitools.app/tool/fireflies-ai) | [Whisper (OpenAI)](https://openaitools.app/tool/whisper-github) |
| :--- | :--- | :--- |
| Website URL | https://fireflies.ai | https://github.com/openai/whisper |
| Categories | AI Meeting Assistant, AI Note Taker, AI Transcription, AI Summarizer | AI Speech Recognition, AI Speech-to-Text, AI Transcriber, AI Translate |
| Pricing Model | Freemium | Free |
| Monthly Visits | 4,411,502 | 0 |
| MoM Growth Rate | +3% | — |
| Primary Market | United States | Global |
| Direct Visits | 2,268,362 | 0 |
| Review Score | 4.1 | 4.8 |
| Saved Count | 16 | 3 |
| Supported Platforms | Website | Open Source |

## Fireflies.ai

Fireflies.ai began as one of the first bots that would quietly join a video call, record it, and return a searchable transcript. That core still exists, but the product has expanded into a broader work assistant, marketed under the persona 'Fred'. Fred captures meetings and takes notes, can be tagged in Slack to answer questions or catch people up, drafts and sorts email, tracks action items, and searches across a company's scattered knowledge so answers surface with citations.\n\nThe platform integrates broadly, which is a large part of its appeal: 240+ connectors covering Zoom, Google Meet, Microsoft Teams, Gmail and Outlook, Slack and Notion, HubSpot and Salesforce, and project tools like Jira, Asana and Trello. Conversation analytics turn call recordings into deal-health signals, team trends and coaching material, while live assist surfaces answers and suggestions during the call itself. A Chrome extension, mobile apps and voice agents extend capture beyond scheduled meetings.\n\nOn pricing, Fireflies runs a freemium model: a free tier with a monthly transcription allowance and limited storage, then Business and Enterprise plans that add more storage, analytics, admin controls and security options. The company advertises ISO 42001, SOC 2 Type II, GDPR, HIPAA and FERPA alignment, and states that customer meetings and transcripts are not used to train AI models.

**Pricing & Plans:** Freemium. A free plan covers a limited monthly transcription allowance and basic summaries; paid Business and Enterprise tiers add storage, analytics, admin controls and compliance features. Check fireflies.ai for current prices.

- **AI notetaker:** Automatically joins Zoom, Google Meet, Microsoft Teams and other calls to record, transcribe with speaker labels, and write summaries with decisions and action items.
- **AI assistant across apps:** Ask questions in Slack or the app and get answers drawn from past meetings, email and connected work tools, with links back to the source.
- **Conversation analytics:** Track deal health, talk-time trends, sentiment and topics across calls to inform sales, recruiting and coaching decisions.
- **240+ integrations:** Connects to conferencing, email, CRM, project management, storage and collaboration tools so notes and tasks flow where your team already works.
- **Live assist and voice agents:** Get real-time suggestions during a call, and set up voice agents to handle routine calls and interviews at scale.

**Strengths:** Works across major conferencing platforms with minimal setup; Strong search and analytics layer on top of transcripts, not just raw notes; Extensive integrations with CRM, project management and collaboration tools; Mature compliance posture including SOC 2 Type II and a stated no-training-on-customer-data policy

**Limitations:** Free plan limits storage and advanced analytics, so teams outgrow it quickly; Recording bots joining calls can feel intrusive unless participants are notified; Accuracy varies with audio quality, accents and heavy cross-talk

[Profile (Markdown)](https://openaitools.app/tool/fireflies-ai.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 Fireflies.ai and Whisper (OpenAI) compare in monthly traffic?

Fireflies.ai has 4,411,502 monthly visits, while Whisper (OpenAI) has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Fireflies.ai has a month-over-month growth rate of +3%; Whisper (OpenAI) has —.

### How does pricing compare?

Fireflies.ai: Freemium. Freemium. A free plan covers a limited monthly transcription allowance and basic summaries; paid Business and Enterprise tiers add storage, analytics, admin controls and compliance features. Check fireflies.ai for current prices. 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 | [TurboScribe](https://openaitools.app/tool/turboscribe-ai) | 27,661,771 | +2.1% | Freemium | Unlimited AI transcription of audio and video in 98+ languages | [.md](https://openaitools.app/tool/turboscribe-ai.md) |
| 2 | [Otter AI](https://openaitools.app/tool/otter-ai) | 7,360,981 | +9.6% | Freemium | Pioneering meeting transcription tool with strong live collaboration, but less flexible custom AI prompt management than Fireflies. | [.md](https://openaitools.app/tool/otter-ai.md) |
| 3 | [Tactiq](https://openaitools.app/tool/tactiq) | 6,521,542 | +4.1% | Freemium | Transcribes meetings live via browser extension without requiring an external bot participant, but relies on active browser tabs. | [.md](https://openaitools.app/tool/tactiq.md) |
| 4 | [Fathom](https://openaitools.app/tool/fathom-2-0) | 5,620,385 | +0.2% | Freemium, Free Trial | Offers a more generous free tier and instant meeting summaries, but has fewer enterprise CRM integrations than Fireflies. | [.md](https://openaitools.app/tool/fathom-2-0.md) |
| 5 | [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) |
| 6 | [Read Speaker Coach](https://openaitools.app/tool/read-speaker-coach) | 4,071,302 | -4.8% | Freemium, Paid | Meeting summaries, transcripts, and AI search that turn meetings into outcomes | [.md](https://openaitools.app/tool/read-speaker-coach.md) |
| 7 | [Notta](https://openaitools.app/tool/notta) | 2,585,354 | +2% | Freemium, Paid, Contact for Pricing | Delivers strong transcription accuracy across many languages, but lacks some of Fireflies's advanced team knowledge-base search features. | [.md](https://openaitools.app/tool/notta.md) |
| 8 | [tl;dv](https://openaitools.app/tool/tldv-io) | 1,396,729 | +1.9% | Freemium | Excels at capturing and clipping video highlights across global platforms, but offers slightly less deep conversation analytics. | [.md](https://openaitools.app/tool/tldv-io.md) |
| 9 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/fireflies-ai-vs-whisper-github

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