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Pricing
Basic: $0/month
Pro: $20/month
Team: $49/month
No public pricing
Free Plan: $0 one-time
Hobby: $16/month
Standard: $83/month
Growth: $333/month
Auto Recharge Credits: $11/mo for 1000 credits
Credit Pack: $9/mo for 1000 credits
Enterprise Plan: Contact for Pricing
No public pricing
Core features
- ✦Integration with Notion databases
- ✦Unlimited fields and submissions
- ✦Customizable form styling
- ✦Conditional logic and validation rules
- ✦Ready-made form templates
- ✦File uploads
- ✦Multi-page forms
- ✦Email, Slack, and Discord notifications
- ✦Submission editing
- ✦Form protection (password, captcha)
- ✦Voice, video, audio, and text surveys and forms
- ✦AI Probing
- ✦AI Survey Generation
- ✦AI Translation (50+ languages)
- ✦AI Transcription
- ✦Sentiment and Thematic Analysis
- ✦Standard Survey Features (multiple choice, likert scale, etc.)
- ✦Voice and Video Responses
- ✦Branching and Logic
- ✦Customization
- ✦Web scraping
- ✦Web crawling
- ✦Data extraction in Markdown, JSON, and screenshot formats
- ✦Dynamic content handling
- ✦Rotating proxies
- ✦Rate limits management
- ✦Open-source availability
- ✦Media Parsing
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
Use cases
- →Guest blog submission forms
- →Event attendee check-in forms
- →Customer satisfaction surveys
- →Patient intake forms
- →Photography quotation requests
- →Equipment rental requests
- →Photo shoot permit requests
- →Concept Testing
- →Net Promoter Score
- →Brand Tracking
- →Diary Study
- →Product Feedback
- →Exploratory Research
- →Event Feedback
- →Creative Testing
- →Powering AI assistants with real-time web content
- →Enhancing sales data with web information
- →Adding scraping capabilities to code editors
- →Enabling customers to build AI apps with web data
- →Extracting comprehensive information for in-depth research
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
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