Scribe
Freemium
Freemium
About Scribe
19s read
1 min read
Scribe is an AI process documentation tool that automatically creates step-by-step guides with screenshots by watching you perform any process in your browser or desktop. It captures every click and keystroke and turns the recording into a formatted, shareable guide in seconds. Teams use Scribe to document SOPs, training materials, and how-to guides without writing a single word.
Best for:
Operations and HR teams documenting processes and onboarding guides
Global availability
Key Features
- Automatic step capture with screenshots
- Browser and desktop app capture
- Editable guide output
- Team workspace and sharing
- PDF and embed export
Pros & Cons
What we like
Creates documentation automatically while you work
No writing required to produce guides
Fast and accurate step-by-step output
What to consider
Free plan limits number of scribes
Advanced customisation requires Pro plan
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AI Glossary
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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.
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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.
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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.
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Tool Info
Verified 5 hours ago
| Pricing | freemium |
| Category | Productivity & Workflow |
| Added | Jun 02, 2026 |
| Source | Manual Entry |
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 24, 2026
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Operations and HR teams documenting processes and onboarding guides
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