# Appen vs Locket

Appen records 665,840 monthly visits with +0.2% month-over-month growth and Contact for Pricing pricing. Locket records 0 monthly visits with 0% growth and Free pricing.

| Metric | [Appen](https://openaitools.app/tool/appen-com) | [Locket](https://openaitools.app/tool/locket) |
| :--- | :--- | :--- |
| Website URL | https://appen.com | https://www.lovelocket.ai |
| Categories | AI Models, Large Language Models (LLMs), AI Developer Tools | AI Dating Assistant, AI Instagram, AI Predictions |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 665,840 | 0 |
| MoM Growth Rate | +0.2% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 238,314 | 0 |
| Review Score | 4.4 | 3.5 |
| 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)

## Locket

Locket, hosted at lovelocket.ai, is a small web toy with a big premise: it claims to reveal how your love story ends. You enter any two Instagram handles, and the site quietly analyzes those public profiles before delivering a compatibility verdict it calls a "Locket." The whole run takes roughly five minutes, and it works best with public accounts.

The tone is deliberately playful rather than clinical. Instead of a dating-app questionnaire, Locket works with what people actually post, then lets an AI layer turn that material into a read on how two people might fit together. Because the source data is public Instagram content, the input is rich and visual, which is part of the appeal — and part of the limitation.

Locket is free and needs no account, which is why it spreads as a curiosity to try with friends, crushes, or celebrity pairings. It is best understood as entertainment: a fast, shareable way to see what an AI makes of two profiles, not a serious relationship assessment.

**Pricing & Plans:** Locket is free to use. There is no published pricing, subscription, or credit system — enter two Instagram handles and run a comparison at no cost.

- **Two-handle Instagram input:** Drop in two Instagram usernames and Locket reads their public profile content to build a picture of each person.
- **AI compatibility verdict:** An AI matching model compares the profiles and produces a compatibility read rather than a simple score dump.
- **Shareable love-story results:** Each result is framed as a shareable "Locket" so you can show friends how your story supposedly ends.
- **No account needed:** Simple single-page flow: enter handles, wait a few minutes, get your answer. No signup required.
- **Built for fun:** Locket is explicit that the experience is meant to be fun, not a diagnostic or matchmaking tool you should rely on.

**Strengths:** Free and requires no signup; Fast — a run finishes in about five minutes; Playful, shareable results that make it fun with friends; Works from public Instagram content, so nothing to fill in manually

**Limitations:** Only works reliably with public Instagram profiles; Runs on Instagram data, so it depends on continued access to that platform; Results are for entertainment, not a serious matchmaking tool; No detailed methodology disclosed, so accuracy is unverifiable

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

## Frequently Asked Questions

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

Appen has 665,840 monthly visits, while Locket has 0. 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%; Locket has 0%.

### 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. Locket: Free. Locket is free to use. There is no published pricing, subscription, or credit system — enter two Instagram handles and run a comparison at no cost.

## 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 | [What Brandon Thinks](https://openaitools.app/tool/what-brandon-thinks) | 826,572 | +437.4% | — | Upload a chat and get what Brandon really thinks | [.md](https://openaitools.app/tool/what-brandon-thinks.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 | [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) |
| 7 | [IGDetective](https://openaitools.app/tool/igdetective) | 264,922 | -31.4% | Freemium, Free | See what a public Instagram account has really been up to — anonymously | [.md](https://openaitools.app/tool/igdetective.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 | [CheatEye](https://openaitools.app/tool/cheateye) | 149,832 | -17.2% | Free | AI search engine for finding Tinder profiles | [.md](https://openaitools.app/tool/cheateye.md) |

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

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