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AI PDF-to-Excel converter that extracts data from invoices, receipts, and bank statements into spreadsheets, sold as pay-as-you-go credits.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Proxy network with residential/mobile/ISP/datacenter IPs plus SERP, scraper and unlocker APIs for large-scale web data collection.
No public pricing
Free trial available
No public pricing
Free trial available
- ✦AI PDF-to-Excel data extraction
- ✦Support for invoices, receipts, and bank statements
- ✦Document-type templates
- ✦Credit-based, no-subscription pricing
- ✦Google sign-in and free starter credits
- ✦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
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦Residential, mobile, ISP and datacenter proxy networks
- ✦SERP API for search-result scraping
- ✦Web Scraper API with 120+ prebuilt scrapers
- ✦Web Unlocker for bypassing blocks/CAPTCHAs
- ✦Stealth scraping browser for automated rendering
- ✦Ready-to-use datasets including video data
- ✦Chrome proxy manager extension
- →Converting invoices and receipts to spreadsheets
- →Digitizing bank statements for accounting
- →Reducing manual data entry for small teams
- →Processing document backlogs on demand
- →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
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Large-scale web scraping and data extraction
- →SEO and SERP rank tracking
- →Ad verification and price monitoring across regions
- →Collecting training data for AI/LLM models