# Notta vs Whisper (OpenAI)

Notta records 2,585,354 monthly visits with +2% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Whisper (OpenAI) records 0 monthly visits with — growth and Free pricing.

| Metric | [Notta](https://openaitools.app/tool/notta) | [Whisper (OpenAI)](https://openaitools.app/tool/whisper-github) |
| :--- | :--- | :--- |
| Website URL | https://www.notta.ai/en | https://github.com/openai/whisper |
| Categories | AI Transcriber, AI Speech-to-Text, Audio To Text AI, AI Summarizer | AI Speech Recognition, AI Speech-to-Text, AI Transcriber, AI Translate |
| Pricing Model | Freemium, Paid, Contact for Pricing | Free |
| Monthly Visits | 2,585,354 | 0 |
| MoM Growth Rate | +2% | — |
| Primary Market | Japan | Global |
| Direct Visits | 1,489,035 | 0 |
| Review Score | 4.4 | 4.8 |
| Saved Count | 0 | 3 |
| Supported Platforms | Website | Open Source |

## Notta

Notta is built around one goal: making sure nothing important said in a meeting gets lost. It can join online calls as a bot, record locally on your device without a bot, capture screen and camera, or simply accept uploaded audio, video and YouTube links. Speech is converted to text in real time or after the fact, with bilingual transcription and on-device options for privacy-sensitive situations.

On top of transcripts, Notta layers AI features that do the downstream work: summaries with action items, cross-meeting Q&A through Notta Brain, bilingual real-time translation, shareable infographics, generated presentations, document creation for PDF, Word and Excel, and follow-up email drafts. It also exposes an MCP server and CLI so AI agents can pull meeting context directly.

Integration and compliance are treated seriously — native connections with Zoom, Google Meet, Microsoft Teams, Webex, Slack, Notion, Salesforce and Google Drive, plus SOC 2 Type II, ISO 27001, GDPR and HIPAA alignment. A generous free tier and modest paid plans make it accessible for individual professionals before scaling to teams.

**Pricing & Plans:** Free plan with 120 transcription minutes per month and full transcription features. Paid Pro plans start around $8.17 per month when billed annually, with higher tiers and enterprise options; a contact-based plan is available for organizations.

- **Flexible recording and import:** Record online meetings with a bot, record bot-free on desktop or mobile, capture screen and camera, or upload audio, video and YouTube links.
- **58-language transcription:** Transcribe and translate in 58 languages, with real-time, bilingual and on-device transcription modes.
- **AI notes and summaries:** Generate summaries, action items and key decisions automatically, then ask questions across all your meetings.
- **Visual and document output:** Turn discussions into infographics, presentations, PDF, Word and Excel documents, and ready-to-send follow-up emails.
- **Integrations and compliance:** Connect Zoom, Meet, Teams, Webex, Slack, Notion and Salesforce, with SOC 2 Type II, ISO 27001, GDPR and HIPAA alignment.

**Strengths:** Reliable transcription with very broad language coverage; Strong privacy and compliance posture including on-device mode; Deliverables go beyond text into slides, infographics and documents; Wide list of native integrations with common business tools

**Limitations:** Free minutes are limited and can run out quickly with heavy meeting loads; AI summary quality depends on audio clarity and speaker separation; Advanced visual and document features are tied to paid tiers

[Profile (Markdown)](https://openaitools.app/tool/notta.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 Notta and Whisper (OpenAI) compare in monthly traffic?

Notta has 2,585,354 monthly visits, while Whisper (OpenAI) has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Notta has a month-over-month growth rate of +2%; Whisper (OpenAI) has —.

### How does pricing compare?

Notta: Freemium, Paid, Contact for Pricing. Free plan with 120 transcription minutes per month and full transcription features. Paid Pro plans start around $8.17 per month when billed annually, with higher tiers and enterprise options; a contact-based plan is available for organizations. 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 | A pioneer in automated meeting notes with strong live transcription, but less robust multilingual slide export options. | [.md](https://openaitools.app/tool/otter-ai.md) |
| 3 | [Fathom](https://openaitools.app/tool/fathom-2-0) | 5,620,385 | +0.2% | Freemium, Free Trial | Provides free unlimited video call recording and summarization, but lacks Notta's dedicated audio file translation features. | [.md](https://openaitools.app/tool/fathom-2-0.md) |
| 4 | [Fireflies.ai](https://openaitools.app/tool/fireflies-ai) | 4,411,502 | +3% | Freemium | Offers powerful enterprise meeting search and analytics, but has a more complex pricing and setup structure. | [.md](https://openaitools.app/tool/fireflies-ai.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 | [UniScribe](https://openaitools.app/tool/uniscribe) | 1,486,239 | +0.7% | Freemium | Turn audio and video into accurate, searchable text in minutes | [.md](https://openaitools.app/tool/uniscribe.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 | [Bluedot](https://openaitools.app/tool/bluedot) | 546,739 | -5.4% | Freemium | Offers bot-free meeting recording via browser extensions, avoiding awkward calendar bots in customer calls. | [.md](https://openaitools.app/tool/bluedot.md) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)