Markup: Document Annotation records 263 monthly visits with -17.8% month-over-month growth and Free pricing. Scale records 616,915 monthly visits with +12.5% growth and Contact for Pricing pricing.
Turn free text into structured, model-ready data with AI-assisted annotation.
The data, evaluations and systems behind AI that has to be right.
| Dimension / Metric | | |
|---|---|---|
| Official Domain | getmarkup.com | scale.com |
| Pricing Model | Free | Contact for Pricing |
| Monthly Visits | 263 (263) | 616.92K (616,915) |
| MoM Traffic Delta | -57 (-17.8%) | +68.69K (+12.5%) |
| Primary Market & Share | 🇹🇷 Türkiye (100%) | 🇺🇸 United States (44.2%) |
| Direct Visits / mo | 109 | 191.41K |
| User Rating | 4 | 4.7 |
| Supported Platforms | Website | Website |
Turn free text into structured, model-ready data with AI-assisted annotation.
Mark up documents and free text to extract names, entities, relationships and fields into clean tabular or JSON output.
Built for NLP and ML workflows, so exported datasets plug into model training pipelines without heavy reformatting.
AI assistance proposes labels and extractions to reduce repetitive manual work, while you keep final control over correctness.
An interactive demo lets you test the annotation flow before committing to a full project setup.
The data, evaluations and systems behind AI that has to be right.
Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
SpecialistStreamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks.
SpecialistStreamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks.
Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business.
Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business.
Human-validated training data and evaluation services for frontier AI models
Free / Open-sourceTurn any document into AI-ready context with agentic parsing and extraction
Free / Open-sourceTurn any document into AI-ready context with agentic parsing and extraction
Provides enterprise multimodal annotation and data management tools, but with less emphasis on managed labeling workforces.
Provides enterprise multimodal annotation and data management tools, but with less emphasis on managed labeling workforces.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
SpecialistFocuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
SpecialistFocuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
Specializes in data infrastructure and annotation specifically tailored for computer vision and physical AI workloads.
Specializes in data infrastructure and annotation specifically tailored for computer vision and physical AI workloads.
Free / Open-sourceOffers a flexible open-source alternative for custom data labeling and human-in-the-loop annotation pipelines.
Free / Open-sourceOffers a flexible open-source alternative for custom data labeling and human-in-the-loop annotation pipelines.
SpecialistBuild, simulate, evaluate and monitor self-improving AI agents
SpecialistBuild, simulate, evaluate and monitor self-improving AI agents
SpecialistProvides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
SpecialistProvides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
AI workflow platform for document-heavy back-office operations
