# Labelbox vs Splodge: Paint, Draw & Art

Labelbox records 762,803 monthly visits with -22.8% month-over-month growth and Contact for Pricing pricing. Splodge: Paint, Draw & Art records 0 monthly visits with — growth and Freemium pricing.

| Metric | [Labelbox](https://openaitools.app/tool/labelbox) | [Splodge: Paint, Draw & Art](https://openaitools.app/tool/splodge) |
| :--- | :--- | :--- |
| Website URL | https://labelbox.com | https://play.google.com/store/apps/details?id=com.toolbone.splodge |
| Categories | AI Developer Tools, AI API, AI Workflow, AI Productivity Tools | AI Coloring Book Generator, AI Games, AI Assistant |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 762,803 | 0 |
| MoM Growth Rate | -22.8% | — |
| Primary Market | United States | Global |
| Direct Visits | 370,024 | 0 |
| Review Score | 4.4 | 4.1 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | App |

## Labelbox

Labelbox occupies an unusual position in the AI stack: it does not primarily sell a chatbot or a generator, it builds the environments and data that models learn from plus the agents that take over recurring engineering and research work. The homepage claim is direct — frontier AI labs train on Labelbox environments and expert data, while engineering and research teams hand their recurring backlog to agents running on Recursion. A recent Series E of more than $100 million signals a heavily funded bet on that thesis.,For enterprises, the newer half of the product is Recursion. Agents are triggered by real signals — a failing build, a PagerDuty alert, a new dependency release, a fresh model checkpoint, or a Monday morning schedule — and then work in the background until the job is done. The examples the company promotes are concrete deliverables rather than summaries: a tested pull request with a preview link, a postmortem draft in Confluence with every event sourced, an ablation table naming the changes that mattered, or a patch for each exposed service after a critical CVE. A grader agent scores each run, and the graded session leaves behind memories, notes and skills that the next session reads before it acts.,The original foundation remains the data business: labeling, annotation, curation and model evaluation supported by expert human reviewers, used for computer vision, NLP, supervised fine-tuning, RLHF and red teaming. In practice the two halves reinforce each other, since the environments that produce high-quality training data are the same environments where agents learn to do real work. Pricing is enterprise-style, routed through sales conversations and shaped by data volume and agent usage, with no public self-serve tier.

**Pricing & Plans:** Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

- **Data labeling and expert annotation:** 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.
- **Autonomous agent sessions:** 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.
- **Domain specialists by function:** 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.
- **Graded outcomes that compound:** 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.
- **Native tool and data integrations:** Agents operate against the tools teams already use, including GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery, Databricks, Vercel and cloud providers.

**Strengths:** Covers both sides of the problem: training and eval data production plus agents that act on recurring work; Backed by a recent $100M+ Series E and adoption by frontier AI labs, indicating real funding and demand; Agent runs produce concrete deliverables with proof — tests, reruns, ablations — rather than unverified suggestions; Integrates with the toolchain teams already run: GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery and Databricks

**Limitations:** No self-serve pricing or open signup: everything routes through a sales conversation, which slows down evaluation; The platform assumes real engineering and research infrastructure (GitHub, cloud providers, data warehouses) to deliver value; Positioning has shifted quickly toward autonomous agent sessions, so teams wanting only labeling workflows may find it heavier than needed

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

## Splodge: Paint, Draw & Art

Splodge splits its interface into two clearly separated worlds. The studio side is built for real artwork: hundreds of brush styles with pressure response, layers and layer groups, masks, adjustment layers, perspective and symmetry guides, Quick Shape for clean geometric lines, re-editable text, and large high-resolution canvases with autosave and crash recovery. A photo effects panel can restyle an imported image with looks such as Cartoon, Oil paint, Neon or Glitch, and the effects stay re-editable so the original photo is never altered. A time-lapse feature replays any painting as a shareable video.

The learning side is deliberately oversized, warm and almost reading-free, aimed at younger artists though enjoyable at any age. Learn to Draw walks users through shapes step by step and awards a star for each attempt. The Coloring Book offers hundreds of outlined pictures to tap-fill, after which a "Grade me!" button evaluates how much was colored and how neatly the user stayed within the lines, responding with sparkles, stars and medals. Every finished piece is saved to a personal My Art shelf.

Child safety is treated as a design constraint rather than an add-on: a parental gate guards every exit, setting and purchase, there are no ads and no outbound links. Splodge is free to start, with an optional subscription unlocking the full studio, plus a one-time lifetime purchase. It is published by Toolbone LLP, a Singapore-based developer.

**Pricing & Plans:** Free to start. An optional subscription unlocks the full studio with monthly, 3-month, 6-month and yearly plans, plus a one-time Lifetime purchase. Billing runs through Google Play and everything sits behind a parental gate.

- **Layered painting studio:** Pressure-sensitive brushes with hundreds of styles, layers and groups, layer masks, adjustment layers, selections, transform tools and re-editable text.
- **AI-graded coloring book:** Tap-fill hundreds of outlined pictures, then press "Grade me!" so the app assesses coverage and line discipline and celebrates with sparkles, stars and medals.
- **Learn to Draw guides:** Friendly step-by-step shape tutorials that award a star for every attempt, building real drawing skill without pressure.
- **Re-editable photo effects:** Apply Cartoon, Oil paint, Neon, Glitch and other looks to an imported photo, and change them later without the original image ever being altered.
- **Parental gate and no ads:** Exits, settings and purchases are locked behind a parental gate, with no advertising and no links leading outside the app.

**Strengths:** Equally strong as a real art studio and as a kids' learning app; AI grading gives encouraging, non-judgemental feedback instead of scores; Strong child-safety design with a parental gate and no ads; One-time Lifetime purchase available alongside subscription plans

**Limitations:** Android only, with no iOS release; Photorealistic, professional-grade painting is not the focus; The full studio requires a subscription or lifetime purchase

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

## Frequently Asked Questions

### How do Labelbox and Splodge: Paint, Draw & Art compare in monthly traffic?

Labelbox has 762,803 monthly visits, while Splodge: Paint, Draw & Art has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Labelbox has a month-over-month growth rate of -22.8%; Splodge: Paint, Draw & Art has —.

### How does pricing compare?

Labelbox: Contact for Pricing. Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases. Splodge: Paint, Draw & Art: Freemium. Free to start. An optional subscription unlocks the full studio with monthly, 3-month, 6-month and yearly plans, plus a one-time Lifetime purchase. Billing runs through Google Play and everything sits behind a parental gate.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Streamlines end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration. | [.md](https://openaitools.app/tool/roboflow.md) |
| 2 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Relies heavily on managed human-in-the-loop workforce services for data validation, offering less self-serve technical tooling than Labelbox. | [.md](https://openaitools.app/tool/appen-com.md) |
| 3 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox. | [.md](https://openaitools.app/tool/scale.md) |
| 4 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 5 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) |
| 6 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Specializes in advanced computer vision and physical AI data pipelines, though with a narrower focus than general text-and-image labeling. | [.md](https://openaitools.app/tool/encord-com.md) |
| 7 | [AI ColoringBook](https://openaitools.app/tool/ai-coloringbook) | 235,362 | -11.2% | Freemium | Turn any photo, idea or story into print-ready coloring pages with AI | [.md](https://openaitools.app/tool/ai-coloringbook.md) |
| 8 | [iColoring AI](https://openaitools.app/tool/icoloring-ai) | 210,062 | -7.4% | Freemium | Turn any photo or prompt into a printable, watermark-free coloring page | [.md](https://openaitools.app/tool/icoloring-ai.md) |
| 9 | [ColorifyAI](https://openaitools.app/tool/colorifyai) | 151,731 | -11.1% | Freemium | Free AI coloring page generator that turns text or photos into printable line art | [.md](https://openaitools.app/tool/colorifyai.md) |
| 10 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | Provides a flexible open-source alternative for custom data labeling, but requires self-hosting and manual infrastructure maintenance. | [.md](https://openaitools.app/tool/label-studio.md) |

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Source: https://openaitools.app/compare/labelbox-vs-splodge

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