AI Tools

An AI-powered product photography app and API that transforms raw smartphone product photos into clean, studio-quality marketplace images. Photoroom's core capabilities include one-click background removal with precise cutouts, AI-generated lifestyle and studio scene backgrounds, consistent shadow and reflection rendering, and a batch editor for processing hundreds of product images at once. It is used by over 150 million people, ranging from individual Etsy sellers and eBay resellers to large e-commerce brands and print-on-demand platforms. The mobile apps for iOS and Android are widely considered the best background removal tools on mobile. The API is popular with platforms that need to process product images programmatically at scale, with pricing per image. In 2024 and 2025, Photoroom added AI scene generation, brand template systems, and an instant background library with thousands of studio settings. Free plan covers basic edits; Pro is $9.99/month.

A photo and video editing app with over 150 million monthly active users, built for social media creators, small businesses, and non-professional designers. Picsart has added extensive AI capabilities throughout its mobile and web platforms. AI tools include one-tap background removal and replacement with hundreds of preset scene options, AI Image Generator for creating images from text prompts inside the editor, AI Photo Effects that apply cinematic filters and artistic styles with a single tap, AI Enhance for upscaling low-resolution photos to print quality, AI Retouch for skin smoothing, portrait enhancement, and face reshaping, and AI Expand (similar to Adobe Generative Fill) that extends photos beyond their original frame. Picsart is built around a fast, template-driven workflow suited to people who need quick, high-quality results on mobile without a learning curve. Free tier is generous with ads; Gold plan is $5/month for unlimited AI tools and ad-free editing.

Collaborative presentation software with AI-powered design suggestions.

A free, browser-based AI image generation platform built around the Playground V3 model, which Playground trained in-house and which scores at the top of several creative image quality benchmarks. The platform offers 500 free image generations per day, making it one of the most generous free tiers of any image tool. Playground V3 is particularly strong at vivid, stylized artwork: fashion photography, surrealism, concept art, dreamlike landscapes, and expressive character portraits with a distinct signature aesthetic. The editor supports text-to-image, image-to-image editing, negative prompts, ControlNet, inpainting with a brush, and an integrated canvas for compositing multiple AI elements. There is a strong community around sharing prompts and remixing creations. Paid plan is $15/month for private images and higher output resolution. Popular with digital artists, graphic designers, and AI art creators who want powerful results without committing to a subscription.

An AI add-on for Google Slides and Microsoft PowerPoint that generates complete, structured presentations from a text description without leaving the apps people already use. Users type a prompt describing the topic, audience, tone, and length they need, and Plus AI builds a full slide deck with relevant sections, talking points, and visual layouts directly inside Google Slides or PowerPoint. It also works on existing presentations: the Remix feature applies a new visual theme to a whole deck instantly, while the AI rewrite tools improve slide copy, condense bullet points, and rephrase slides for different audiences. Plus supports custom company templates and brand styles so generated decks always match organizational standards. Integration with Google Workspace organizational accounts makes adoption easy for enterprise teams. Plans start at $10/month for individuals and $20/user/month for teams.

Google Slides add-on that generates presentations from text with AI.

An AI video personalization platform that generates unique, individualized videos from a single recorded source video at massive scale. A sales rep, recruiter, or executive records one video once, and Tavus creates thousands of personalized versions where the subject's voice and face deliver each recipient's name, company name, and custom details in a fully lip-synced, natural way. Phoenix, Tavus's real-time video AI model, enables live two-way video conversations with AI replicas for interactive use cases such as practice interviews, customer support agents, and AI companions. Tavus is also used for coaching simulations, patient communications in healthcare, and onboarding experiences. The API makes it easy to embed personalized video into existing CRM, email, and sales automation workflows. Pricing is usage-based; a free trial is available.

AI-powered tool that turns long videos into short clips for social media.

An experimental AI image remixing tool from Google Labs, powered by Gemini 2.0 and Imagen 3. Whisk takes a different approach to image creation than text-prompt tools: instead of writing a description, users combine three source images to define what they want. A subject image provides the person, object, or character. A scene image provides the setting, environment, and composition. A style image provides the visual aesthetic, color palette, and rendering approach. Whisk fuses all three into a new, high-quality image that reflects all sources without copying any of them directly. This makes it ideal for fast creative exploration, product mockups, character design iterations, and combining photography styles with illustrated aesthetics. Results are generated in seconds using Imagen 3. Free to use at labs.google with a Google account. A more advanced mode, Whisk Animate, adds motion to remixed images for short animated clips.

TypeScript toolkit for building AI-powered applications with streaming.

ClearML is an open-source ML ops platform. Experiment tracking and management. Auto-scaling training clusters. Model registry and deployment. Machine learning DevOps.

MLflow is an open ML lifecycle platform. Track experiments, metrics, params. Model registry for versioning. Model serving with REST API. Integration with Spark. Industry standard.

Collaborative data notebook with AI-powered code generation and analysis.

An open-source Python library from Hugging Face for building and sharing interactive ML model demos and applications in minutes. Gradio wraps any Python function, typically an AI model inference function, in a web interface with input components like text boxes, sliders, image uploads, and microphones, and output displays for text, images, audio, video, plots, and data tables. The resulting interface is shareable via a public link automatically generated by Hugging Face Spaces, making it the standard tool for demoing ML models, sharing research prototypes, and building simple AI tools without web development experience. Gradio interfaces range from a single-function demo to multi-page AI applications with custom styling. It is the most widely used tool for AI model demonstrations in the research community, with thousands of models demoed on Hugging Face Spaces. Open source under Apache 2.0; works in any Python environment.

Open-source framework for building production-ready LLM applications.

An open-source LLM observability and caching platform that adds monitoring, cost tracking, and caching to any LLM application with a single line of code change. Helicone works as a proxy: developers route API calls through Helicone's endpoint instead of directly to OpenAI, Anthropic, or another provider, and every request is automatically logged, analyzed, and cached. The dashboard shows real-time cost per user, token usage trends, latency percentiles, error rates, and prompt performance over time. A caching layer stores identical or semantically similar requests and returns cached responses instantly, reducing API costs for applications that receive repeated queries. User and session tracking links usage to individual end users for billing and debugging. Open-source and self-hostable; the cloud version has a free tier and paid plans from $20/month. Popular with AI startup founders and developers who want immediate visibility into LLM costs and performance.

Hex is a notebook environment for data analytics teams that bridges Jupyter and Dashboards. Write SQL, Python, and R in reactive cells. Parameters auto-build filters without code. Share notebooks as interactive dashboards with stakeholders. Version history and cell-level comments support collaborative analysis. Series-B, used by 1,000+ data teams.

LanceDB is a vector database built on Lance format for efficient columnar storage. Local or cloud deployments. Arrow-native. Integrates with pandas and DuckDB. Developer-focused.

A developer platform from LangChain for building, debugging, testing, and monitoring LLM applications in production. LangSmith provides full observability into every LLM call inside an application: input prompts, model responses, latency, token counts, and the full execution trace of multi-step agent workflows. A Dataset and Evaluation module lets developers build test datasets and run automated evaluations to measure output quality as models or prompts are updated. A Prompt Hub stores and versions prompts, enabling teams to track changes and A/B test variations systematically. The Playground allows prompt iteration with full trace visibility. LangSmith works with any LLM framework including LangChain, LlamaIndex, OpenAI SDK, and raw API calls. A free tier covers 5,000 traces per month; paid plans start at $39/month for higher volumes. Used by AI engineers and development teams building production LLM applications who need visibility into what is happening inside their AI pipeline.

An open-source Python library and proxy server providing a unified API interface for calling over 100 different LLM providers through a single OpenAI-compatible format. Developers write code against the LiteLLM interface once and switch between OpenAI, Anthropic, Azure OpenAI, Google Gemini, Cohere, Mistral, Ollama, and many others by changing a single model string without rewriting API call logic. The LiteLLM Proxy Server mode adds a production-grade gateway with load balancing across multiple API keys, automatic retries and fallbacks, cost tracking per team or project, rate limiting, and logging to observability tools. Budget controls prevent individual teams from exceeding allocated API spend. Open source under MIT license on GitHub; a hosted proxy option is available. Popular with MLOps engineers, AI platform teams, and developers working with multiple LLM providers who need a single unified interface.