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Speech-to-text API infrastructure with multilingual real-time and batch transcription for building voice products.
Managed headless-Chrome infrastructure that runs Puppeteer/Playwright scripts at scale with anti-bot bypass, so teams skip browser ops.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
AI tool for engineering teams that automates code review, status updates, and answers questions about what's changing in code.
No public pricing
Free trial available
No public pricing
Free trial available
No public pricing
- ✦Real-time multilingual speech-to-text (<300ms)
- ✦Batch/async transcription
- ✦Solaria speech models
- ✦Key-entity capture and enrichment
- ✦EU data residency
- ✦Free tier and playground
- ✦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
- ✦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
- ✦AI code review
- ✦Automatic engineering status updates
- ✦Agent that answers questions and takes action
- ✦Metrics on coding time and project focus
- ✦Pushed vs landed tracking
- ✦Commit and contributor insights
- →Transcribe voice-agent and contact-center calls
- →Power meeting-assistant note taking
- →Generate subtitles and media transcripts
- →Build voice products on one API
- →Run web scraping without infrastructure headaches
- →Automate browser workflows and tests
- →Give AI agents a reliable browser
- →Generate screenshots and PDFs via API
- →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
- →Automating code reviews
- →Keeping stakeholders updated on engineering progress
- →Understanding what's changing in a codebase
- →Tracking team productivity metrics