Eraser records 534,396 monthly visits with -23.6% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Labelbox records 762,803 monthly visits with -22.8% growth and Contact for Pricing pricing.
AI diagrams and technical design docs built from your code and systems
The environments frontier AI trains on, and the agents that do the recurring work
| Dimension / Metric | | |
|---|---|---|
| Official Domain | eraser.io | labelbox.com |
| Pricing Model | Freemium, Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 534.4K (534,396) | 762.8K (762,803) |
| MoM Traffic Delta | -164.9K (-23.6%) | -225.17K (-22.8%) |
| Primary Market & Share | 🇮🇳 India (39.6%) | 🇺🇸 United States (21.9%) |
| Direct Visits / mo | 267.66K | 370.02K |
| User Rating | 4.6 | 4.4 |
| Supported Platforms | Website | Website |
AI diagrams and technical design docs built from your code and systems
Generate architecture diagrams, flowcharts, sequence diagrams, and BPMN from a text prompt, code, Terraform, or an uploaded PDF, Word, Excel, PowerPoint, Draw.io, or Visio file.
Build interactive maps that sync with cloud accounts, repositories, and internal catalogs so the picture stays close to the real environment, with drill-down from org level to a single container.
Paste code or connect private and public Git repositories, Confluence, Notion, VS Code, and GitHub to keep diagrams grounded in actual implementation.
Run the agent toolkit in your own infrastructure under an MIT license and let MCP-compatible clients create, search, update, and export diagrams with OAuth or API tokens.
The environments frontier AI trains on, and the agents that do the recurring work
Structured annotation, curation, model evaluation and human-in-the-loop review across vision, language and generative tasks, used to build the training and eval data behind production models.
Recursion agents start on their own from builds, alerts, commits, checkpoints and schedules, then work in the background until the task is finished and reviewable.
Specialist agents cover software engineering, reliability, security, ML research, evals, R&D, product and finance workflows, from flaky test fixes to postmortem drafts and vulnerability patches.
Every agent run is scored by a grader, and graded sessions leave memories, notes and skills that the next session reads before acting, so quality compounds over time.
Offers an expansive infinite canvas for team brainstorming and visual workshops, but lacks Eraser's code-to-diagram automation.
Offers an expansive infinite canvas for team brainstorming and visual workshops, but lacks Eraser's code-to-diagram automation.
SpecialistStreamlines end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration.
SpecialistStreamlines end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration.
SpecialistAutomatically embeds visual diagrams directly inside text documents, though it lacks Eraser's specialized cloud architecture focus.
SpecialistAutomatically embeds visual diagrams directly inside text documents, though it lacks Eraser's specialized cloud architecture focus.
SpecialistRelies heavily on managed human-in-the-loop workforce services for data validation, offering less self-serve technical tooling than Labelbox.
Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox.
Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox.
Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams.
Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
Provides extensive drag-and-drop shapes and templates for general diagrams, but weaker automated code-to-diagram capabilities than Eraser.
Provides extensive drag-and-drop shapes and templates for general diagrams, but weaker automated code-to-diagram capabilities than Eraser.
Specializes in advanced computer vision and physical AI data pipelines, though with a narrower focus than general text-and-image labeling.
Specializes in advanced computer vision and physical AI data pipelines, though with a narrower focus than general text-and-image labeling.
Combines team whiteboarding, documentation, and diagramming in one platform, but less tailored for automated codebase architecture.
Combines team whiteboarding, documentation, and diagramming in one platform, but less tailored for automated codebase architecture.
Free / Open-sourceProvides a flexible open-source alternative for custom data labeling, but requires self-hosting and manual infrastructure maintenance.
Free / Open-sourceProvides a flexible open-source alternative for custom data labeling, but requires self-hosting and manual infrastructure maintenance.
SpecialistFocuses strictly on LLM evaluation, testing, and observability rather than raw data annotation and training dataset curation.
SpecialistFocuses strictly on LLM evaluation, testing, and observability rather than raw data annotation and training dataset curation.
