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UPDF AI
✓ verifiedPaid
AI-powered PDF editor across desktop and mobile with full toolset; strong adoption.
👁 1.1M/mo♥ 2.0K
Pricing
UPDF Pro (Yearly): US$39.99/Year
UPDF Pro (Lifetime): US$69.99/Lifetime
AI Assistant (Yearly): US$79.00/Year
UPDF Sign (Yearly): US$69.00/Year
Unlocker API: Starts from $1.05/1k req
Crawl API: Starts from $1.05/1k req
SERP API: Starts from $1.05/1k req
Browser API: Starts from $5.88/GB
Scrapers: Starts from $300/mo
Datasets: Starts from $250/mo
Functions: Starts from $2.7/1k req
RetailInsights: Starts from $1,000/mo
Residential Proxies: Starts from $3.53/GB
Datacenter Proxies: Starts from $0.9/IP
ISP Proxies: Starts from $1.3/IP
Mobile Proxies: Starts from $5.88/GB
Custom Scraper: Starts from $300/mo
No public pricing
Core features
- ✦AI-powered PDF editing
- ✦PDF reading and annotation
- ✦PDF conversion and creation
- ✦PDF organization and compression
- ✦PDF protection and signing
- ✦AI summarization, translation, and explanation
- ✦Cross-platform availability (Windows, Mac, iOS, Android)
- ✦Multi-engine support (Google, Duckduckgo, Bing, Yandex, Baidu)
- ✦Real-time structured SERP data
- ✦Pay-per-successful-request pricing
- ✦Full JavaScript support
- ✦Precise geo-location targeting
- ✦Structured data delivery in JSON or HTML
- ✦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
- →Summarizing long PDF documents for quick understanding
- →Translating PDF files to different languages
- →Explaining complex technical or medical terms in PDFs
- →Chatting with PDFs to get answers to specific questions
- →Editing and annotating PDF documents for collaboration
- →Converting PDFs to other formats for compatibility
- →Protecting sensitive PDF documents with passwords
- →Organic keyword tracking
- →Brand protection
- →Price comparison
- →Market research
- →Detect copyright infringements
- →Ad intelligence
- →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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