Beyond Text: Vision, Browser & Voice Agents
Agents that see, click, and talk
Extend agents beyond text: vision and document understanding, browser and computer-use automation, voice interfaces, and the safety controls these agents need.
- Lessons
- 6
- Reading time
- 70 min
- Level
- Advanced
- Access
- Full course
Lessons in this module
- 7.115 min
Vision Agents: Images, Screenshots, and PDFs
Give agents eyes: sending images and PDFs to models, reading charts and screenshots, and the mistakes vision models still make.
- 7.212 min
Document Processing Pipelines
Turn piles of invoices, contracts, and forms into structured data with extraction pipelines, validation, and human review for the hard cases.
- 7.310 min
Browser Agents: Automating the Web
Agents that click, type, and read websites: browser automation tools, when to use an API instead, and how to keep web agents reliable.
- 7.412 min
Computer-Use Agents: Operating a Desktop
How agents operate full desktop apps from screenshots, what they are good and bad at today, and how to run them safely in a sandbox.
- 7.510 min
Voice Agents: Real-Time Speech In and Out
Build agents people talk to: speech-to-text, text-to-speech, real-time voice models, latency budgets, and conversation design for voice.
- 7.611 min
Safety for Agents That See and Click
The extra risks when agents read screens and operate interfaces — injected instructions in pages, misclicks, and purchases — and the controls that contain them.
About this module
Most agents start out working with text: they read prompts, call tools, and write answers. But a lot of real work lives in formats that aren't plain text. Invoices arrive as scanned PDFs, dashboards are charts, many business systems have no API and can only be used through a web page or desktop app, and some of the most natural interfaces are spoken conversations. Agents that can see images, operate interfaces, and listen and speak can take on far more of that work.
Modern models accept images and documents directly, and agent harnesses can give them tools to drive a browser or a whole desktop by looking at screenshots and choosing where to click and what to type. Voice agents combine speech recognition, a model, and speech synthesis, or use real-time speech-to-speech models, to hold a spoken conversation with low enough latency to feel natural.
These capabilities come with new failure modes. Vision models misread small text and dense tables, browser agents can be hijacked by instructions hidden in web pages, computer-use agents can click the wrong button, and voice agents have to handle interruptions and mishearing. Each needs verification, sandboxing, and approval steps designed for how it fails.
This module covers vision and document understanding, document-processing pipelines that turn PDFs and forms into structured data, browser agents, computer-use agents, and voice agents, and finishes with the safety controls that agents which see and click require. You will learn when each approach is the right tool and when an API or plain text pipeline is simpler and more reliable.
Questions about Beyond Text: Vision, Browser & Voice Agents
What is a multimodal AI agent?
A multimodal agent can work with more than text: it can read images, screenshots, and PDFs, and sometimes listen to and produce speech. That lets it handle documents, charts, interfaces, and conversations that a text-only agent cannot.
What is a browser agent?
A browser agent controls a web browser to complete tasks, such as navigating pages, filling in forms, and reading results. It typically uses browser automation tools or screenshots plus clicks. When a site offers an API, calling the API directly is usually faster and more reliable.
What is computer use for AI agents?
Computer use means letting a model operate a desktop environment by looking at screenshots and issuing mouse and keyboard actions. It can automate apps that have no API, but it is slower and less reliable than direct integrations, so it should run in a sandboxed virtual machine with limited permissions.
How do voice agents work?
A voice agent either chains speech-to-text, a language model, and text-to-speech, or uses a real-time model that takes audio in and produces audio out. The hard parts are keeping latency low, handling interruptions, and confirming important details out loud.
Are browser and computer-use agents safe?
They carry extra risk because they read untrusted content on screen and take real actions. Run them in isolated environments, restrict which sites and apps they can reach, require approval for purchases or irreversible actions, and treat on-screen text as potentially malicious.