# Appen vs TechScreen

Appen records 665,840 monthly visits with +0.2% month-over-month growth and Contact for Pricing pricing. TechScreen records 28,970 monthly visits with +101.7% growth and Freemium pricing.

| Metric | [Appen](https://openaitools.app/tool/appen-com) | [TechScreen](https://openaitools.app/tool/techscreen) |
| :--- | :--- | :--- |
| Website URL | https://appen.com | https://techscreen.app |
| Categories | AI Models, Large Language Models (LLMs), AI Developer Tools | AI Interview Assistant, AI Assistant, Undetectable AI, AI Code Assistant |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 665,840 | 28,970 |
| MoM Growth Rate | +0.2% | +101.7% |
| Primary Market | United States | United States |
| Direct Visits | 238,314 | 4,760 |
| Review Score | 4.4 | 3.8 |
| 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)

## TechScreen

TechScreen is a desktop application built around a single promise: giving candidates real-time answers during interviews without the interviewer knowing. It works for coding rounds, system design, and behavioral interviews, accepting questions either typed in or captured from your system audio, which means it can pick up what an interviewer is saying on a call and surface an answer almost immediately.

The core technical claim is that invisibility comes from the operating system rather than a visual workaround. The app window is excluded from screen capture at the platform level, so when you share your screen on Zoom, Microsoft Teams, Google Meet, Webex, Amazon Chime, CoderPad, Codility, HackerRank, or similar tools, your audience sees the interview question but not the assistant's answer. The site notes that Zoom 6.16+ requires enabling window-filtering in the screen-share settings, and states that platform compatibility is re-checked daily.

The interface is designed around keyboard shortcuts so nothing on screen hints that help is being requested. Screenshots, conversation mode, sending answers, hiding the window, and repositioning it are all bound to hotkeys, and the window floats above your IDE, browser, and call. Users can configure programming language, spoken language, role, and custom prompts, and the vendor advertises that no user has been detected to date.

**Pricing & Plans:** TechScreen offers a free trial that does not charge a card, after which you pick a subscription plan. The company states every plan includes the full app, there are no hidden fees and no $1,000-plus tiers, and you can change or cancel at any time. Check the official pricing page for current amounts.

- **Screen-share invisibility:** The app window is excluded from screen capture by the operating system, so it does not appear in Zoom, Teams, Meet, or session recordings.
- **Typed and audio question capture:** Reads questions from typed text or live system audio, so answers appear as soon as the interviewer finishes asking.
- **Keyboard-only control:** Show, hide, move, and send responses entirely through keyboard shortcuts, with no mouse movement that could give it away.
- **Custom prompts and profiles:** Set your programming language, spoken language, role, and custom prompts so answers match the interview you are walking into.
- **Multi-format interview support:** Covers software engineering, product, and other roles across programming and behavioral formats, with no visible app icon in the dock or tray.

**Strengths:** Invisibility is implemented at the OS level, so it survives screen shares and recordings.; Reads live system audio, letting it react to spoken questions quickly.; Keyboard-only operation keeps the workflow discreet during a call.; Supports coding, system design, and behavioral rounds across languages and roles.

**Limitations:** Only macOS 13+ and Windows 10+ are supported; no Linux build is listed.; On Zoom 6.16+ users must manually enable the window-filtering screen-capture setting for invisibility to hold.; Using an interview assistant raises genuine ethical and policy questions with employers and interview platforms.; Effectiveness still depends on the candidate explaining answers convincingly rather than just reading them.

[Profile (Markdown)](https://openaitools.app/tool/techscreen.md)

## Frequently Asked Questions

### How do Appen and TechScreen compare in monthly traffic?

Appen has 665,840 monthly visits, while TechScreen has 28,970. 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%; TechScreen has +101.7%.

### 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. TechScreen: Freemium. TechScreen offers a free trial that does not charge a card, after which you pick a subscription plan. The company states every plan includes the full app, there are no hidden fees and no $1,000-plus tiers, and you can change or cancel at any time. Check the official pricing page for current amounts.

## 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 | [ParakeetAI](https://openaitools.app/tool/parakeetai) | 1,094,780 | +12.6% | Paid | Real-time AI interview copilot that answers while you are still talking | [.md](https://openaitools.app/tool/parakeetai.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 | [Final Round AI](https://openaitools.app/tool/final-round-ai) | 397,782 | +3.6% | Free Trial, Paid | AI interview copilot with real-time answers and automatic debriefs | [.md](https://openaitools.app/tool/final-round-ai.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 | [LockedIn AI](https://openaitools.app/tool/lockedin-ai) | 337,801 | -18.7% | Freemium | Real-time AI copilot for interviews, meetings and coding rounds | [.md](https://openaitools.app/tool/lockedin-ai.md) |
| 9 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/appen-com-vs-techscreen

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