# Appen vs getdesign Appen records 665,840 monthly visits with +0.2% month-over-month growth and Contact for Pricing pricing. getdesign records 814 monthly visits with -28.6% growth and Free pricing. | Metric | [Appen](https://openaitools.app/tool/appen-com) | [getdesign](https://openaitools.app/tool/getdesign) | | :--- | :--- | :--- | | Website URL | https://appen.com | https://www.getdesign.app | | Categories | AI Models, Large Language Models (LLMs), AI Developer Tools | AI Design Assistant, AI UX Design, AI Developer Tools, AI Web Scraping | | Pricing Model | Contact for Pricing | Free | | Monthly Visits | 665,840 | 814 | | MoM Growth Rate | +0.2% | -28.6% | | Primary Market | United States | Brazil | | Direct Visits | 238,314 | 322 | | Review Score | 4.4 | 4.1 | | Saved Count | 2 | 0 | | Supported Platforms | Website | Website | ## Appen Appen is one of the oldest pure-play AI data companies, tracing its roots to 1996 when it began building human-labeled datasets for speech recognition and NLP. Over three decades it supported successive generations of model development — search relevance in the 2000s, machine translation, deep-learning vision annotation, Transformer-era semantics, GPT-3 scale corpora, RLHF for conversational AI, and now agentic and multimodal foundation models. Today Appen positions itself around six specialised capability areas: Frontier Alignment (chain-of-thought reasoning traces, SME RLHF, supervised fine-tuning demonstrations, adversarial red teaming), Agentic AI (golden trajectories, RL environment design, failure-mode taxonomies, SWE-driven evaluation), Multimodal and Speech AI (multilingual ASR and conversational corpora, expressive TTS annotation, VLM training data, video action labelling), Physical AI (LiDAR point-cloud annotation, multi-camera sensor fusion, robotics demonstration trajectories, world-model rollouts), Model Integrity (hallucination benchmarking, bias detection, regulatory audits and continuous monitoring), and Research Services (context engineering, calibrated LLM-as-a-judge, synthetic data and custom benchmarking). Delivery runs through Appen's AI Data Platform (ADAP), which blends automation with human oversight, and the company cites SOC 2 and ISO 27001 certification, 500+ global locales, and a client roster that includes major cloud, search, retail and aerospace organisations. Appen does not publish self-serve pricing; engagements start with a scoping conversation and are quoted per project, so cost depends on data volume, language coverage, modality and annotation complexity. **Pricing & Plans:** Enterprise/contact-for-pricing. Appen does not publish self-serve plans; projects are scoped and quoted individually. Appen also sells off-the-shelf (OTS) datasets and crowd/contractor workforce programs with separate terms. - **Frontier alignment data:** Chain-of-thought reasoning traces, SME-level RLHF, supervised fine-tuning demonstrations and adversarial red teaming for the most capable models. - **Agentic AI datasets:** Golden trajectories, RL environment design, failure-mode taxonomies and software-engineering-driven deep evaluation for autonomous agents. - **Multimodal and speech corpora:** Multilingual ASR and conversational speech data, expressive TTS annotation, vision-language model training data, video action labelling and voice-agent evaluation. - **Physical AI annotation:** LiDAR point-cloud labeling, multi-camera sensor fusion, robot demonstration trajectories, world-model rollouts and embodied interaction logs. - **Model integrity and evaluation:** Hallucination benchmarking, bias detection, regulatory audits and continuous monitoring, plus independent model evaluation. - **AI Data Platform (ADAP):** A production platform that combines automation with human oversight, with SOC 2 and ISO 27001 certification and 500+ locales covered. **Strengths:** Three decades of annotation methodology, tooling and workforce management experience; Very broad coverage: frontier alignment, agentic, speech, multimodal, physical AI and evaluation in one vendor; 500+ locales and multilingual expertise that most in-house teams cannot match; Enterprise-grade security posture (SOC 2, ISO 27001) and publicly listed governance **Limitations:** No transparent self-serve pricing; every engagement requires a sales/scoping cycle; Enterprise-oriented contracts can be heavy for small teams or indie developers; Quality depends on workforce management, so results vary by project and locale; Overlaps with many cheaper specialist annotation vendors, making vendor selection non-trivial [Profile (Markdown)](https://openaitools.app/tool/appen-com.md) ## getdesign getdesign solves a common friction point for designers and developers: turning an existing website into a reusable design reference. Instead of manually inspecting a site's CSS, guessing at color values, and cataloguing fonts and spacing, you point getdesign at a public URL. The tool opens the page in a real browser, captures the rendered result, and reads the underlying CSS tokens to build a structured document ped that describes the site's design system. The output is a design.md file covering roughly nine sections — palette, typography, spacing, components, and more — that you can download and keep as a living style guide. Because it captures the rendered page, visual runs also include screenshots alongside the Markdown, giving coding agents both written and visual context when building a new interface. getdesign is in beta and ships across five surfaces: a web dashboard, an HTTP API, a CLI, a TypeScript SDK, and a portable Skill that runs inside Claude Code, Codex, or Cursor using the agent's own tools. There is no getdesign subscription in V1 — you bring your own Daytona key for real-browser capture and your own OpenAI key for the model work, so you only pay those providers for what you use. **Pricing & Plans:** Free to use in V1 (public beta). There is no getdesign run billing — you sign in via WorkOS and supply your own Daytona and OpenAI API keys, so you pay those providers directly for browser capture and model usage. - **Website design extraction:** Open any public URL in a real browser, read its CSS, and get a structured description of its design system. - **design.md output:** Receives a downloadable Markdown document (~9 sections) covering palette, typography, spacing, and components. - **Screenshots included:** Visual runs capture screenshots alongside the Markdown so agents get both written and visual context. - **Five surfaces, one core:** Use it through the web dashboard, HTTP API, CLI, TypeScript SDK, or a portable Skill inside Claude Code, Codex, and Cursor. - **Coding-agent ready:** Feed the generated design.md and screenshots to your coding agent as context for building new interfaces. **Strengths:** Fast way to turn any URL into a structured design document; Works across web, API, CLI, SDK, and coding-agent Skill; Includes screenshots and CSS-grounded tokens; Free beta with no getdesign billing — bring your own keys **Limitations:** Beta-stage product that may evolve quickly; Requires your own Daytona and OpenAI keys to run extractions; Extraction quality depends on the target site's CSS structure [Profile (Markdown)](https://openaitools.app/tool/getdesign.md) ## Frequently Asked Questions ### How do Appen and getdesign compare in monthly traffic? Appen has 665,840 monthly visits, while getdesign has 814. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Appen has a month-over-month growth rate of +0.2%; getdesign has -28.6%. ### How does pricing compare? Appen: Contact for Pricing. Enterprise/contact-for-pricing. Appen does not publish self-serve plans; projects are scoped and quoted individually. Appen also sells off-the-shelf (OTS) datasets and crowd/contractor workforce programs with separate terms. getdesign: Free. Free to use in V1 (public beta). There is no getdesign run billing — you sign in via WorkOS and supply your own Daytona and OpenAI API keys, so you pay those providers directly for browser capture and model usage. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Prolific](https://openaitools.app/tool/prolific-com) | 18,697,671 | -1.8% | Paid | Connects teams directly with verified human participants for preference tuning and studies, but lacks managed end-to-end labeling pipelines. | [.md](https://openaitools.app/tool/prolific-com.md) | | 2 | [Invisible Technologies](https://openaitools.app/tool/invisible-technologies-inc) | 1,364,520 | +64.4% | Contact for Pricing | Blends custom software with dedicated human expert teams to handle complex operations, but operates as a bespoke service. | [.md](https://openaitools.app/tool/invisible-technologies-inc.md) | | 3 | [Refero Design](https://openaitools.app/tool/refero-design) | 1,147,552 | +3.4% | Freemium | A searchable library of 145,000+ real web and iOS screens for UI/UX inspiration. | [.md](https://openaitools.app/tool/refero-design.md) | | 4 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Combines robust data labeling tools with automated workflows, but focuses more on software tooling than managed human workforces. | [.md](https://openaitools.app/tool/labelbox.md) | | 5 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | Provides enterprise-grade AI training data and model evaluation at massive scale, but often with higher enterprise pricing. | [.md](https://openaitools.app/tool/scale.md) | | 6 | [UX Pilot](https://openaitools.app/tool/ux-pilot) | 537,999 | +2.9% | Freemium | From idea or sketch to editable wireframes, hi-fi UI and code in minutes | [.md](https://openaitools.app/tool/ux-pilot.md) | | 7 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Delivers advanced multimodal data curation and annotation infrastructure, but requires your own annotation workforce for labeling tasks. | [.md](https://openaitools.app/tool/super-annotate.md) | | 8 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) | | 9 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | The multimodal data layer for computer vision and physical AI teams | [.md](https://openaitools.app/tool/encord-com.md) | | 10 | [Magic Patterns](https://openaitools.app/tool/magic-patterns) | 193,614 | -9.6% | Freemium | AI-native design workspace that turns prompts into production-ready UI | [.md](https://openaitools.app/tool/magic-patterns.md) | --- Source: https://openaitools.app/compare/appen-com-vs-getdesign More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)