LLMWise

LLMWise is a cutting-edge multi-model AI chat platform designed to provide transparent, cost-optimized access to a wide array of large language models (LLMs) from a single, unified interface. It empowers users to leverage models like GPT, Claude, Gemini, DeepSeek, and more, ensuring efficiency and cost control for individuals and teams. Target Audience: LLMWise is ideal for developers, product teams, and businesses seeking to optimize their LLM API spend, streamline model management, and avoid vendor lock-in by intelligently routing requests across various AI providers. Key Features Auto-Routing for Cost Optimization: Automatically routes prompts to the cheapest healthy model available for your plan, significantly reducing API costs. Transparent Cost Per Response: Every answer clearly displays which model was used and its exact cost, fostering trust and enabling precise budget management. Multi-Model Access: Chat with top AI models including GPT, Claude, Gemini, DeepSeek, Qwen, Llama, and more, all from one dashboard. Side-by-Side Model Comparison: Compare responses from different models for a single prompt to select the best output for your needs. Developer-First API: Offers a robust REST API with Python and TypeScript SDKs under active development, supporting streaming and easy integration. Bring Your Own Keys (BYOK): Route requests through your existing provider contracts while still benefiting from LLMWise's routing and traceability. Use Cases LLMWise excels in scenarios where cost efficiency and model flexibility are paramount. For everyday tasks, its "Auto" routing feature intelligently directs prompts to more affordable open-source or mid-tier models, preventing unnecessary expenditure on premium models. This allows users to maintain high productivity without incurring excessive costs, making it perfect for routine content generation, summarization, or coding assistance. Furthermore, LLMWise is invaluable for experimentation and quality assurance. Users can compare outputs from various advanced models like Claude, GPT, and Gemini side-by-side for critical tasks, ensuring they select the most accurate or creative response. Once the optimal model is identified, they can switch back to Auto for subsequent, less critical interactions, maintaining a balance between performance and budget. This approach simplifies the complex process of managing multiple AI APIs, consolidating them into a single, user-friendly platform. Pricing Information LLMWise operates on a freemium model, offering a "Free" tier for initial exploration (5 messages, Auto only). The "Starter" plan is available for $29/month, providing 10M tokens with Auto-only routing. For advanced users and teams requiring manual access to premium models like GPT, Claude, and Gemini Pro, the "Teams" plan is priced at $99/month for 40M tokens. Enterprise solutions with custom limits and support are also available. User Experience and Support The platform is designed with an "Auto-first" philosophy, aiming for a simple and intuitive user experience where model selection is often handled automatically. The transparent display of model and cost for every response builds trust. For developers, LLMWise provides comprehensive Python and TypeScript API guides, along with REST API documentation, to facilitate seamless integration and development. While SDKs are under active development, the existing API is robust. Technical Details LLMWise provides a native API that uses the familiar role/content message format, similar to OpenAI's, and supports streaming. It offers developer previews for Python and TypeScript SDKs, with a fully functional REST API available for immediate use. The platform is built to be developer-first, allowing for flexible integration into existing workflows. Pros and Cons Pros: Significant cost savings through intelligent Auto-routing. Transparent, per-response cost visibility. Access to a wide range of LLMs from a single interface. Simplified LLM management and reduced vendor lock-in. Supports Bring Your Own Keys (BYOK). Cons: Manual selection of premium models (GPT, Claude, Gemini Pro) is only available on the higher-tier "Teams" plan. SDKs (Python, TypeScript) are still under active development, though REST API is available. Conclusion LLMWise stands out as an intelligent and cost-effective solution for anyone looking to harness the power of multiple AI models without the complexity and expense typically associated with them. By prioritizing automatic routing and transparent pricing, it offers a streamlined path to advanced AI capabilities. Explore LLMWise today to optimize your LLM usage and unlock significant savings.

PDF Reader

PDF Reader is a fast, lightweight, and 100% offline PDF tool designed for complete document privacy and control. It provides every essential PDF utility in one intuitive application, ensuring your files remain securely on your device without any cloud uploads, accounts, or tracking. This powerful productivity solution is ideal for individuals and professionals who require robust PDF editing, signing, scanning, and conversion capabilities while prioritizing data security and independence from internet connectivity. Key Features 100% Offline & Private: No cloud uploads, accounts, or tracking; all operations on-device. Comprehensive Editing: Directly edit PDF content, reorder, rotate, delete pages, merge multiple PDFs, and split documents. Secure Signatures: Draw handwritten signatures or add secure digital signatures to contracts and forms. Text-to-Speech (TTS): Listen to documents hands-free with multi-language voice support. OCR Text Recognition: Extract editable and searchable text from scanned PDFs and images. Versatile Conversion: Convert images to PDF, PDF to JPG/PNG, and insert images into PDFs. Use Cases Professionals can efficiently manage contracts, forms, and reports, signing documents digitally and converting formats without internet dependency. It's indispensable for fieldwork or environments with unreliable internet access, ensuring continuous productivity and data integrity. Students can annotate study materials, highlight key information, listen to lectures, and organize research papers securely, leveraging OCR to digitize notes or extract text from scanned articles. For anyone concerned about data privacy, PDF Reader is invaluable, as all operations occur on-device, ensuring sensitive information never leaves their control. It's the go-to solution for robust PDF functionality without compromising security, making it perfect for secure document management in any scenario. Pricing Information PDF Reader operates on a straightforward, privacy-focused model with no subscriptions or recurring fees. While specific pricing details are not provided, the emphasis on "no subscription" suggests a one-time purchase for full access to its comprehensive suite of features, offering a cost-effective solution for long-term use. User Experience and Support The application delivers a fast and smooth user experience, handling even large PDF files without lag or loading screens. It offers a presentation mode for focused reading, supports both horizontal and vertical scrolling, and provides 20 interface languages with over 100 PDF viewing languages. User support and feedback are actively managed via email at devsoftwaremail@gmail.com, with developers committed to continuous improvement based on user input. Technical Details Designed as a lightweight mobile application, PDF Reader is optimized for performance and memory usage, targeting SDK 36 for improved compatibility across modern Android devices. Its core design philosophy centers around 100% offline functionality, ensuring all processing, editing, and conversion tasks are executed directly on the user's device, enhancing both speed and security. Pros and Cons Pros: Unmatched privacy with 100% offline operation and no data sharing. Extensive suite of PDF editing, signing, scanning, and conversion tools. Integrated Text-to-Speech and OCR capabilities. Fast, smooth performance even with large files. No subscriptions or recurring costs. Multilingual interface and document viewing support. Cons: Primarily a mobile application, no explicit mention of desktop versions. Lacks cloud-based collaboration features inherent to its offline design. Specific one-time purchase price not detailed in the provided information. No free trial or freemium option explicitly mentioned. Conclusion PDF Reader stands out as a robust and highly secure solution for all your PDF management needs. By offering a comprehensive toolkit entirely offline, it delivers unparalleled privacy and control over your documents. For anyone seeking a powerful, fast, and secure PDF editor that respects your data, PDF Reader is an essential download. Take back full control of your documents today.

SafetyDocs

IntroductionSafetyDocs is a SaaS platform designed to revolutionize how event teams manage safety documentation. It replaces static, outdated paper files and PDFs with live, mobile-ready safety documents, ensuring improved communication, compliance, and on-site decision-making. Its primary purpose is to centralize and synchronize critical safety information for event organizers and their teams.Target AudienceThe platform caters to a wide range of event organizers, from those managing small gatherings like weddings and fairs to large-scale corporate events and those requiring compliance with regulations like Martyn's Law. It's ideal for any event team looking to streamline safety processes, reduce administrative burden, and enhance real-time incident response.Key FeaturesLive-Syncing Mobile Access: Provides real-time access to safety files on mobile devices, even offline, ensuring teams always have the correct version.Master Data Synchronization: Centralizes key information in a master document, automatically populating updates across all related safety plans and risk assessments.Extensive Template Library: Offers over 65 Risk Assessment Templates and 13 essential documents for a comprehensive event safety file.Dedicated Domain & Hosting: Large organizations can benefit from a branded, dedicated domain with complete admin control and unlimited users.Mobile App (iOS & Android): Facilitates instant access, real-time updates, and on-site risk assessments for team members.Easy Document Creation & Editing: Allows users to upload existing documents for editing or create new ones, with easy deployment.Use CasesSafetyDocs is invaluable for event organizers who are tired of the inefficiencies and risks associated with traditional document management. It solves common problems like version control issues (e.g., "Final_V2.pdf"), the manual and error-prone process of updating information across multiple documents, and the lack of clear access control in generic file-sharing platforms like Dropbox or Google Drive. In an emergency, the platform provides quick, searchable access with live hyperlinks and emergency contact buttons, which is crucial for rapid response.For events requiring strict compliance, such as those falling under Martyn's Law for 800+ attendees, SafetyDocs simplifies the process of documenting protective measures, assessing vulnerabilities, and ensuring readiness for regulatory reviews. It helps teams maintain a professional image in front of authorities by demonstrating proactive and organized safety planning.Pricing InformationSafetyDocs offers a flexible pricing structure, including a 14-day free trial with no credit card required. Individual users can access a free demo account or opt for "Portal Access" at £6.99 per month to create and download their own documents. For specific events, the "Single Event" plan is available for £249, offering unlimited users and full template access. Larger organizations can inquire about "Corporate" solutions, which provide a tailored, branded platform with custom templates and full support.User Experience and SupportThe platform emphasizes ease of use, allowing for easy editing and deployment of documents via its mobile app. Users benefit from help guides, support documentation, and a ticket system for assistance. Dedicated support hours are available Monday-Friday (8 AM-6 PM) and Saturday-Sunday (9 AM-5 PM). The mobile app is designed to keep teams in sync with live updates and instant access to critical information, even offline.Technical DetailsSafetyDocs operates on secure, cloud-based servers, incorporating security features like username/password authentication and 2FA. Admin rights allow for granular control over user access, ensuring only invited users can view sensitive information. The platform is regularly tested against brute force attacks by external organizations, highlighting its commitment to data security. While specific programming languages are not mentioned, its cloud-based nature and mobile app integration suggest a robust web and mobile development stack.Pros and ConsPros:Eliminates version control issues with live-syncing documents.Significantly reduces administrative time and errors.Enhances compliance with safety regulations and legal requirements (e.g., Martyn's Law).Provides instant, mobile access to critical safety information, even offline.Offers a comprehensive library of risk assessment templates.Improves on-site decision-making and incident response.Secure, cloud-based platform with robust access controls.Cons:Requires initial effort to upload and adapt existing documents.Disclaimer notes it's not a substitute for a full risk assessment, requiring user diligence.Corporate pricing is "POA" (Price on Application), which might require direct contact for larger organizations.ConclusionSafetyDocs empowers event teams to move beyond outdated, static safety documentation, offering a dynamic, compliant, and efficient solution for managing event safety. By centralizing information, ensuring real-time access, and streamlining updates, it helps organizations stay confident, compliant, and in control. Explore SafetyDocs today to transform your event safety planning and ensure everyone goes home safe.

MIAPI

MIAPI is a cutting-edge AI Answers API designed to provide web-grounded responses with real-time search, inline citations, and confidence scores. It serves as an OpenAI-compatible solution, built specifically for developers seeking accurate, verifiable, and cost-effective AI integration. This API is ideal for developers, AI assistant builders, and those implementing Retrieval Augmented Generation (RAG) pipelines who need to ensure their AI outputs are factual and up-to-date, minimizing hallucinations. Key Features Web-Grounded Answers: Every response is backed by real-time web search, including sources, to prevent hallucinations. Inline Citations: Answers come with [1][2] citation markers linked directly to their sources for professional verifiability. OpenAI-Compatible: A drop-in replacement for /v1/chat/completions, allowing instant integration with existing OpenAI codebases. Knowledge Mode: Integrate your own documents for answers grounded in your data, web search, or a combination of both, perfect for RAG. Streaming Real-time: Offers Server-Sent Events (SSE) for real-time answer generation, similar to ChatGPT. Search-Only Mode: Access raw search results without LLM processing, ideal for LangChain and custom RAG pipelines. Use Cases MIAPI empowers developers to build highly reliable AI applications, such as intelligent chatbots that can answer questions with current, verifiable information from the web. It's perfect for creating AI assistants that require factual accuracy and transparency, providing users with confidence in the generated content. Furthermore, MIAPI excels in scenarios requiring Retrieval Augmented Generation (RAG), allowing users to ground AI responses in their proprietary documents, public web data, or both. This flexibility makes it invaluable for enterprise knowledge management systems, customer support bots, and content creation tools that demand precision and source attribution. Pricing Information MIAPI operates on a flexible query-pack pricing model, eliminating subscriptions and ensuring purchased queries never expire. Pricing ranges from $2.50 to $3.60 per 1,000 queries, making it one of the most cost-effective solutions on the market. A free tier is available, offering 500 queries per month to get started. User Experience and Support Designed with developers in mind, MIAPI offers a straightforward API interface with comprehensive documentation and a Python SDK for easy integration. A live playground is available for immediate testing without signup. Support is accessible via email at support@miapi.uk, ensuring developers have the resources they need. Technical Details The API operates on version 1.6, accessible via https://api.miapi.uk, and uses Bearer token authentication. Key endpoints include /v1/answer for grounded AI responses, /v1/chat/completions for OpenAI compatibility, and specialized endpoints for streaming, news search, image search, and raw web search. A Python SDK is provided for seamless development. Pros and Cons Pros: Highly accurate, web-grounded answers with minimal hallucinations. Transparent with inline citations and source attribution. Easy integration due to OpenAI compatibility. Comprehensive feature set including Knowledge Mode, streaming, and specialized search. Cost-effective pricing with no query expiry. Fast response times and built-in caching. Cons: Requires API key management and understanding of API parameters. Rate limits apply, especially for free and demo tiers. Maximum token limits for questions and responses. Conclusion MIAPI stands out as a robust and economical solution for developers needing to integrate reliable, web-grounded AI answers into their applications. Its unique combination of accuracy, transparency, and developer-friendly features makes it an indispensable tool for building next-generation AI experiences. Explore MIAPI today to elevate your AI projects with verifiable intelligence.

routing.run

routing.run is a robust SaaS platform designed to streamline AI model deployment and management for production teams. It provides a single, unified endpoint for routing requests across multiple AI model providers, ensuring reliability and efficiency. This solution is specifically tailored for production teams and developers who require stable, flexible, and cost-effective access to various large language models (LLMs) and AI services.Key Features:One Endpoint for Multiple Providers: Simplify integrations by connecting to various AI models through a single API, abstracting away provider-specific complexities.Fallback Chains and Live Routing Control: Dynamically manage model selection, set fallback orders, and adjust traffic policies in real-time to ensure continuous service and optimal performance.Predictable Request-Based Pricing: Offers clear, flat-rate pricing per request, making cost prediction easier and more stable than token-based billing.Smart Provider Failover: Automatically detects and reroutes traffic away from anomalous latency or outages to healthy fallback models in real-time.Zero Prompt Logging & No IP Tracking: Ensures complete data privacy and security by never logging user prompts, AI completions, IP addresses, or identifying metadata.Fully Open Source Infrastructure: Provides transparency and allows teams to inspect the routing code, fostering trust and enabling customization.Use Cases:routing.run is ideal for applications that depend on external AI models but need to mitigate the risks associated with provider volatility in quality, pricing, and uptime. For instance, a company building an AI-powered chatbot can use routing.run to seamlessly switch between different LLM providers (e.g., OpenAI, OpenRouter, Chutes) based on performance, cost, or availability without modifying their core application code. This ensures their service remains operational and optimized even if one provider experiences downtime or price changes, maintaining a consistent user experience.Another key use case involves managing costs and performance. By offering request-based pricing, routing.run allows businesses to predict their monthly spend more accurately, regardless of the context size of their AI prompts. This is particularly beneficial for applications with fluctuating or large context windows, where token-based pricing can lead to unpredictable and high bills. It also enables A/B testing of different models and providers to find the optimal balance of quality and cost, ensuring efficient resource allocation.Pricing Information:routing.run offers a flexible pricing model, including a free tier to get started with basic routing capabilities. For higher usage and advanced features, it provides predictable request-based pricing, which is a flat cost per request, making it easier to budget compared to token-based billing. Users can start for free and upgrade for higher limits, dedicated support, or custom routing infrastructure.User Experience and Support:The platform emphasizes ease of integration, stating that if an app already uses an OpenAI-compatible interface, users can often send their first request through routing.run in minutes, typically requiring only a base URL change and an API key. Comprehensive documentation is available to guide users through setup and configuration. For higher-tier plans, dedicated support is provided, ensuring that production teams receive timely assistance. The open-source nature of its infrastructure also contributes to user confidence and understanding, allowing for deeper inspection.Technical Details:routing.run functions as an intelligent proxy layer positioned between your application and various AI model providers. Its core routing infrastructure is fully open source, offering complete transparency into how requests are processed and routed. The system is engineered for real-time detection of anomalous latency and provider outages, enabling instant and automatic rerouting of traffic to healthy fallback models. Beyond external provider integration, routing.run also operates its own dedicated hardware for selected models and plans, providing an additional layer of stable capacity and optimized performance paths. The project is primarily built with Python and TypeScript, leveraging a Docker Compose stack with FastAPI, React, Weaviate, Neo4j, MongoDB, and Redis.Pros and Cons:Pros: Enhanced reliability and uptime through smart failover and dynamic fallback chains.Pros: Predictable cost management with flat-rate, request-based pricing.Pros: Strong privacy guarantees with zero prompt logging and no IP tracking.Pros: Flexibility to switch or combine AI providers without modifying client-side code.Pros: Transparency and trust due to fully open-source infrastructure.Cons: Requires initial setup and configuration for optimal performance.Cons: Effectiveness relies on proper configuration of fallback chains.Cons: Advanced features and dedicated support are reserved for paid plans.Conclusion:routing.run empowers AI production teams to build resilient, cost-effective, and privacy-conscious applications by abstracting away the complexities and volatilities of the AI model market. Its unique blend of dynamic routing, predictable pricing, and strong privacy features makes it an indispensable tool for modern AI development. Explore routing.run today to stabilize your AI integrations and gain unparalleled control over your model ecosystem.