What does Skyvern do?

Skyvern provides AI agents that automate workflows on websites the way a human would, navigating pages, filling forms, and extracting data. It is designed to handle complex real-world scenarios without requiring dedicated APIs or brittle custom scripts.

Can Skyvern handle CAPTCHAs and 2FA?

Skyvern is built to manage real-world obstacles including CAPTCHAs, two-factor authentication, and dynamic user interfaces. This allows it to operate across web portals that traditional scraping or scripting tools often struggle with.

Do I need to write code to use Skyvern?

Skyvern offers multiple ways to build workflows, ranging from natural language prompts to native SDKs. This lets non-technical users describe tasks in plain language while developers can integrate more programmatically.

How is Skyvern different from traditional RPA?

Unlike rule-based automation that breaks when a page layout changes, Skyvern uses AI to interpret and adapt to dynamic UIs. This makes it more resilient on websites that change frequently or lack stable selectors.

What tasks is Skyvern commonly used for?

Common use cases include data extraction, form filling, and document processing across various web portals. It is aimed at teams that need to automate repetitive browser-based work that previously required manual effort.

Startups AI Browser Automation Skyvern

Skyvern

Active

AI agents to automate workflows on any website, just like a human would.

🏷 AI Browser Automation

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Pricing

Enterprise

free plan

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About Skyvern

What Skyvern does

Skyvern uses AI agents to automate workflows on any website, performing tasks the way a human would. By combining computer vision and large language models, it can operate web portals, log in, fill forms, and submit data without relying on APIs or brittle custom scripts, making it possible to automate sites that resist traditional automation.

Key capabilities

Skyvern handles authentication, solving CAPTCHAs natively and managing 2FA/TOTP flows, and extracts structured data as CSV or JSON. It downloads, parses, and classifies documents with OCR, routes sessions through residential and datacenter proxies for geo-targeting, and provides explainable audit trails for each action. Workflows can be built from natural-language instructions, uploaded SOPs, browser recordings, a visual drag-and-drop builder, or Python and TypeScript SDKs. It is SOC 2 Type II certified and HIPAA compliant, with self-hosted deployment options.

Who it's for

Skyvern serves enterprise teams in healthcare, insurance, fintech, banking, and HR tech, with use cases including accounts-payable automation, web data extraction, lead generation, large-scale form filling, and QA testing.

Key capabilities

AI-powered browser automation

CAPTCHA solving natively

Two-Factor Authentication (2FA) handling

Proxy network support (country, state, zip-code)

Explainable AI with action summaries

Data extraction in CSV/JSON formats

Workflow creation via Copilot Chat (natural language)

Self-hostable via Docker containers

Technology stack

2detected May 30, 2026

Est. monthly stack spend ~$100/mo

Framework

Express

Infra

Vercel

Agent readiness

90/100

Agent-ready

MCP server

Public API

Webhooks

OAuth 2.0

SDKs · Python, TypeScript

API docs ↗

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Frequently asked

What does Skyvern do?: Skyvern provides AI agents that automate workflows on websites the way a human would, navigating pages, filling forms, and extracting data. It is designed to handle complex real-world scenarios without requiring dedicated APIs or brittle custom scripts.
Can Skyvern handle CAPTCHAs and 2FA?: Skyvern is built to manage real-world obstacles including CAPTCHAs, two-factor authentication, and dynamic user interfaces. This allows it to operate across web portals that traditional scraping or scripting tools often struggle with.
Do I need to write code to use Skyvern?: Skyvern offers multiple ways to build workflows, ranging from natural language prompts to native SDKs. This lets non-technical users describe tasks in plain language while developers can integrate more programmatically.
How is Skyvern different from traditional RPA?: Unlike rule-based automation that breaks when a page layout changes, Skyvern uses AI to interpret and adapt to dynamic UIs. This makes it more resilient on websites that change frequently or lack stable selectors.
What tasks is Skyvern commonly used for?: Common use cases include data extraction, form filling, and document processing across various web portals. It is aimed at teams that need to automate repetitive browser-based work that previously required manual effort.

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About Skyvern

What Skyvern does

Key capabilities

Who it's for

Key capabilities

Technology stack

Agent readiness

Alternatives

OpenAI

Perplexity

xAI

Thinking Machines Lab

Upscale AI

Resolve AI

Frequently asked

Explore more around Skyvern

Similar to Skyvern

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