Skip to main content
Freemium
Notta logo
Productivity & Workflow freemium

Notta

Verified 1 day ago
Compare Alternatives Claim this listing
About Notta 22s read
1 min read

Notta is an AI transcription tool that converts audio, video files, and live meetings into accurate text across 58 languages with automatic speaker identification. It supports recording and transcription directly within Zoom, Google Meet, and Microsoft Teams, and generates AI summaries with key point extraction after each session. Notta is particularly strong for multilingual teams and international organisations that need fast, accurate transcription across multiple languages.

Best for: International teams and multilingual organisations that require accurate transcription across many languages.
Screenshot
Key Features
  • Transcription in 58 languages
  • Speaker identification
  • AI meeting summaries
  • Audio and video file upload transcription
  • Real-time live transcription
Pros & Cons
What we like
Best-in-class multilingual transcription support
Can transcribe uploaded files as well as live meetings
Accurate speaker identification
What to consider
Free plan limited to 120 minutes per month
AI summaries less detailed than dedicated meeting tools
Questions and Answers

No questions yet. Be the first to ask!

Log in to ask a question.

User Reviews

No reviews yet. Be the first to review Notta!

Log in to leave a review.

You might also like
Voila V
Voila
freemium
Front AI F
Front AI
paid
FocusTime AI F
FocusTime AI
free
User Reviews

No reviews yet. Be the first to leave a review!

Log in to leave a review.

Was this page helpful?

AI Glossary

The simulation of human intelligence in machines programmed to think, learn, and problem-solve. AI encompasses machine learning, natural language processing, computer vision, and more.

A deep learning model trained on vast text datasets to understand and generate human-like language. Examples include GPT-4, Claude, and Gemini.

AI systems that create new content - text, images, audio, video, or code - based on patterns learned during training rather than retrieving existing data.

The practice of designing and refining input text (prompts) to guide an AI model toward producing more accurate, relevant, or creative outputs.

A computing architecture inspired by the human brain, consisting of interconnected layers of nodes that learn to recognise patterns in data.

A branch of AI where algorithms improve automatically through experience and exposure to data, without being explicitly programmed for each task.

AI technology that enables computers to understand, interpret, and generate human language - the foundation of chatbots, translation tools, and voice assistants.

The process of further training a pre-trained AI model on a specific, smaller dataset to specialise it for a particular task or domain.

When an AI model generates plausible-sounding but factually incorrect or entirely fabricated information, often presenting it with false confidence.

The units of text (roughly 4 characters or ¾ of a word in English) that LLMs process. Model costs and context limits are measured in tokens.

The maximum amount of text (measured in tokens) an LLM can process in a single interaction - both input and output combined.

A technique that enhances LLM outputs by fetching relevant external documents at query time, grounding responses in up-to-date or proprietary data.

Numerical vector representations of text, images, or other data that capture semantic meaning, enabling AI to measure similarity and retrieve relevant content.

The process of running a trained AI model to produce predictions or outputs from new input data - distinct from the training phase.

An AI system that autonomously plans and executes multi-step tasks by combining reasoning, tool use (web search, code execution, APIs), and memory.

AI models that can process and generate multiple types of data - such as text, images, audio, and video - within a single unified system.

A large-scale AI model trained on broad data that serves as a base for many downstream applications via fine-tuning or prompting.

A pricing model where core features are available for free, with premium features, higher usage limits, or advanced capabilities offered via paid plans.

A set of protocols that allows developers to integrate an AI tool's capabilities directly into their own applications and workflows.

Zero-shot means the model handles a task without any examples; few-shot means it is given a small number of examples in the prompt to guide its response.
Trending Now
Claude AI Learning Brain OpenAI Operator
Tool Info
Verified 1 day ago
Pricing freemium
Category Productivity & Workflow
Added Jun 02, 2026
Source Manual Entry
Visit Website Back to Tools See Alternatives
Share:
Pricing Notes

AI tool pricing changes frequently. The pricing shown was accurate at our last editorial review. We recommend checking the tool's website directly for current plans.

Last reviewed: Oct 25, 2026
Check Current Pricing
Related Tools
Voila freemium Front AI paid FocusTime AI free PropMaintain AI freemium
Compare

See how Notta stacks up against alternatives.

vs Voila vs Front AI vs FocusTime AI
Pricing
Freemium
Visit Tool
Best For

International teams and multilingual organisations that require accurate transcription across many languages.

Embed this tool

Add a link badge to your website or blog:

People Also Viewed

Voila
Voila
Freemium
 Front AI
Front AI
Paid
 FocusTime AI
FocusTime AI
Free
 PropMaintain AI
PropMaintain AI
Freemium