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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.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
AI-powered web accessibility platform for ADA/WCAG compliance, blending automated remediation with expert services.
Research participant marketplace that gives AI teams and academics fast access to verified, screened human data and feedback.
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No public pricing
- ✦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
- ✦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
- ✦accessWidget automated AI remediation
- ✦accessScan accessibility auditing
- ✦accessFlow for accessible code
- ✦Screen-reader and keyboard-navigation support
- ✦Expert audits, VPAT and litigation support
- ✦CMS integrations
- ✦300,000+ verified, screened participants
- ✦300+ audience targeting filters
- ✦Representative and quota-based sampling
- ✦API and no-code survey tool integrations
- ✦AI-powered participant quality monitoring (Protocol)
- ✦Managed services with dedicated project teams
- ✦Access to vetted domain experts
- →Converting invoices and receipts to spreadsheets
- →Digitizing bank statements for accounting
- →Reducing manual data entry for small teams
- →Processing document backlogs on demand
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Achieving ADA/WCAG compliance
- →Reducing accessibility litigation risk
- →Ongoing accessibility monitoring
- →Enterprise-scale accessibility programs
- →Collecting human preference data for RLHF or model evaluation
- →Running academic behavioral or market research studies
- →Sourcing domain-expert data for specialized AI benchmarks