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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

ZEGOCLOUD logo
ZEGOCLOUD
✓ verifiedFreemium

Real-time voice, video, chat, and conversational-AI SDKs/APIs for developers building interactive communication features into apps.

146K visits/mo9.7K saves
DHTMLX Chatbot logo
DHTMLX Chatbot
✓ verifiedFree

Lightweight MIT-licensed JavaScript chatbot UI widget for building support-agent chat interfaces on top of any LLM.

92K visits/mo
Browserless logo
Browserless
✓ verifiedFreemium

Managed headless-Chrome infrastructure that runs Puppeteer/Playwright scripts at scale with anti-bot bypass, so teams skip browser ops.

242K visits/mo
Tiptap Editor 3.0 Beta logo
Tiptap Editor 3.0 Beta
✓ verifiedFreemium

Headless, open-source rich-text editor framework with paid add-ons for collaboration, comments, AI editing agents and document conversion.

308K visits/mo
The New GitBook logo
The New GitBook
✓ verifiedFreemium

Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.

653K visits/mo2.9K saves
Pricing
Voice Call: $0.99 per 1,000 participant minutes
Video Call: $3.99 per 1,000 participant minutes
Live Streaming: $0.39 per 1,000 minutes
In-app Chat: $99 per 10,000 MAU
AI Effects: $584 per 2 platforms/month
Super Board: $1.99 per 1,000 participant minutes
Cloud Recording: $0.59 per 1,000 recording minutes
Analytics Dashboard: $299/month

Free trial available

No public pricing

Free: $0 (1k units/mo, 2 browsers)
Prototyping: $25/mo (20k units)
Starter: $140/mo (180k units)
Scale: $350/mo (500k units)
Start: $49/mo (up to 500 cloud documents, 2 environments, 2 dev licenses)
Team: $149/mo (up to 5,000 cloud documents, 3 environments, 5 dev licenses)
Business: $999/mo (up to 50,000 cloud documents, 5 environments, 10 dev licenses)

Free trial available

No public pricing

Free trial available

Core features
  • Video and voice call SDKs
  • Live streaming SDK for interactive broadcasts
  • In-app chat API
  • Cloud recording of audio/video streams
  • AI face effects and digital-human generation
  • Conversational AI agent building tools
  • 20+ pre-built UIKits for rapid app development
  • Real-time cloud speech transcription
  • MIT-licensed and free to use
  • Lightweight (~65kb) JavaScript widget
  • 4 message display modes plus typewriter effect
  • Markdown support and chat history
  • Backend hook to integrate any LLM
  • Responsive, mobile-friendly, read-only mode
  • Managed headless browsers (browser-as-a-service)
  • Drop-in Puppeteer/Playwright support
  • Anti-bot bypass and CAPTCHA solving
  • Screenshot, PDF and download APIs
  • MCP server for AI agents
  • Self-hosted and cloud deployment
  • Live debugger and observability
  • Headless, extensible core editor with 100+ extensions
  • Real-time collaborative editing with live cursors
  • Inline and document comments
  • DOCX, ODT and Markdown import/export
  • AI Toolkit for building document-editing AI agents
  • Prebuilt UI components and editor templates
  • Publish structured documentation sites
  • Git sync for docs-as-code workflows
  • AI setup agent to build and import docs
  • GitBook MCP server for AI access
  • Enterprise controls
  • Free tier to start
Use cases
  • App developers adding live video or voice chat
  • Social and dating apps needing engagement features
  • Telehealth platforms requiring secure video calls
  • E-commerce brands adding live-streaming shopping
  • Education platforms needing interactive whiteboards
  • Adding an AI chat UI to web apps
  • Building LLM-powered support agents
  • Embedding chat widgets in existing products
  • Prototyping chatbot interfaces
  • Run web scraping without infrastructure headaches
  • Automate browser workflows and tests
  • Give AI agents a reliable browser
  • Generate screenshots and PDFs via API
  • Building a custom rich-text editor for a SaaS product
  • Adding real-time collaboration to a document app
  • Letting an AI agent edit documents with tracked changes
  • Importing or exporting Word or Markdown content in-app
  • Publish product and API documentation
  • Maintain docs-as-code with Git sync
  • Make docs consumable by AI assistants
  • Import existing docs into a hosted site
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