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35,699 results · Page 966 of 992

SuperSEM

AI marketing

SuperSEM is a London-headquartered SEO audit and backlink analysis tool that helps businesses manage website SEO and improve search performance. Through its "AI + expert team" model, it integrates instant SEO audits, content creation, backlink building, on-page optimization, keyword rankings, competitor monitoring, traffic reporting, and other functions into a single platform, allowing users to track progress in real time. The official website also mentions integrations with Google Analytics, Search Console, and Google Ads, and provides a help center, expert calls, and dedicated support. Specific fees and pricing plans are not yet provided.

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Supertoons

AI images

Supertoons is an AI tool that converts photos into cartoon images. Users simply upload photos and select a popular style, and the AI automatically generates the cartoon effect. It supports JPG, PNG, and WEBP formats, with a maximum of 10MB per image and up to 10 images uploaded at a time. Generation usually takes a few minutes, though large batches may take 30 minutes. It uses a pay-per-image model: $4 per image for up to 5 images, and $3 per image for more than 5. All payments are non-refundable, but if you are unsatisfied with the results, you can contact customer support to resolve the issue. User photos are temporarily stored on secure servers and deleted after delivery, all communications use SSL encryption, and billing information is securely processed through Stripe.

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Surf

AI finance

Surf (asksurf.ai) is an AI research tool for financial markets such as crypto assets and US stocks. According to available information, it supports querying asset classes such as cryptocurrencies and stocks, and provides stock financial data, filings, price data, and institutional-grade analysis. The official website also mentions Hyperliquid portfolios, Surf Genesis NFTs, and updates such as Surf AI reaching an institutional-grade AI partnership with Bithumb. Beyond this information, its specific feature details, usage methods, pricing model, and applicable limitations are not yet provided.

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SVG to PNG

Other AI tools

SVG to PNG is a free online format conversion tool that quickly converts SVG vector files to PNG bitmap format, running entirely locally in the browser, with no upload or registration required, and no watermark added. It supports batch processing of up to 20 files, custom export multipliers (1×, 2×, 4×, or any resolution), preserving transparent backgrounds, adjusting OxiPNG compression quality, and packaging for ZIP download. It is suitable for exporting PNG assets for emails, presentations, social media, legacy browsers, or high-DPI screens.

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SVGMaker

AI images

SVGMaker is an online SVG design and vector asset generation platform based on agentic AI, capable of generating, editing, and converting SVG files for logos, icons, illustrations, typography, fantasy characters, and more. It offers an AI design agent, text-to-SVG, AI SVG editing, image-to-SVG, and a browser-based Figma-style editor, and integrates APIs, MCP, plugins, and a community gallery. It is officially stated to be used by 100,000+ designers, marketers, and independent brands worldwide. Specific pricing, free quotas, and price information are not yet fully provided in the available materials.

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SwapFace

AI video

SwapFace is an online AI face-swapping tool that supports replacing faces in photos and videos. Users upload a target photo or video, then add a reference face, and can complete the face swap in the browser, using it to create memes, avatars, thumbnails, and short video content without desktop editing software. New users can get started with free credits. The tool automatically detects and aligns faces, preserves the original pose, hairstyle, expression, and background, and matches lighting, skin tone, and edge details; it also provides preset prompt recipes for portraits, group photos, thumbnails, avatars, memes, face blending, and video face-swap drafts. The official website also lists one-time project packages (900, 2,900, 10,900 credits) as optional paid plans, though specific prices are not currently provided.

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SWE-bench

AI coding

SWE-bench is a benchmark developed by the Princeton NLP team to evaluate the performance of large language models on real-world software problems. It collects real issues from GitHub, requiring models to generate fix patches given a codebase and problem description, and conducts reproducible automated evaluation through a Docker containerized environment. The project includes complete code and data, supports dataset aliases such as full, verified, multimodal, and multilingual, and provides the sb-cli cloud evaluation tool and a Modal-based cloud running method. Its related paper has been accepted as an oral presentation at ICLR 2024, and has expanded into versions such as SWE-bench Multimodal and SWE-bench Verified. The project is licensed under MIT and is open to the NLP, machine learning, and software engineering research communities.

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Sweet Security

AI security

Sweet Security is a runtime security protection platform for cloud and AI, focused on "proactive runtime enforcement" capabilities. It is deployed in the runtime environment, monitoring and intercepting abnormal behavior in real time at the point where intent turns into actual action, ensuring that online production environments are not compromised. Its built-in Learning Loop™ continuously iterates through "attack—fix—defend," allowing agents to continuously learn the behavior patterns that each application, AI agent, and workload should exhibit, so that threats are detected and blocked immediately when they actually act, and each fix is turned into a real-time guardrail to prevent similar threats from recurring. The platform can cover cloud-native applications and autonomous AI agents, providing complete attack path tracing from prompt to data, and every finding comes with a corresponding remediation action. The product is primarily aimed at enterprise security teams (such as CISOs), and is suitable for scenarios such as runtime threat detection in cloud environments and AI agents, zero-day attack exercises, and vulnerability remediation prioritization. Specific pricing, deployment details, and more technical specifications are not yet provided in the existing materials.

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