# Fillout vs Scale

Fillout records 3,923,917 monthly visits with -9.7% month-over-month growth and Freemium pricing. Scale records 616,915 monthly visits with +12.5% growth and Contact for Pricing pricing.

| Metric | [Fillout](https://openaitools.app/tool/fillout-com) | [Scale](https://openaitools.app/tool/scale) |
| :--- | :--- | :--- |
| Website URL | https://www.fillout.com | https://scale.com |
| Categories | AI Forms, AI Quiz Generator, AI Signature Generator, AI PDF | AI Developer Tools, Large Language Models (LLMs), AI Models, AI Agent |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 3,923,917 | 616,915 |
| MoM Growth Rate | -9.7% | +12.5% |
| Primary Market | United States | United States |
| Direct Visits | 2,306,833 | 191,408 |
| Review Score | 4.4 | 4.7 |
| Saved Count | 12 | 3 |
| Supported Platforms | Website | Website |

## Fillout

Fillout is a no-code platform for building forms, surveys, quizzes, and payment or scheduling pages. You can start from a description and let the built-in Zite AI assemble a ready-to-publish form in your brand, or drag and drop fields manually. Every submission is stored in a structured database you can filter, analyze, and connect to other tools.

Beyond basic data collection, Fillout adds intelligent routing, login-based forms that let respondents edit their own answers, digital signatures, and native integrations with 50+ apps. Branding is fully controllable, including custom domains, white-labeling, and embeds as popups, sliders, or full-screen pages.

A large number of organizations use Fillout for secure data intake, and the service advertises SOC II Type 2 compliance plus AES-256 encryption. A free tier covers casual use, while paid plans unlock advanced logic, higher limits, and team features.

**Pricing & Plans:** Freemium. A free plan covers basic forms and submissions, with paid tiers for advanced logic, higher limits, file uploads, payments, and team collaboration.

- **AI form builder (Zite):** Describe the form you need in plain language and Zite generates a branded form with logic, file uploads, and payments.
- **Logic and workflows:** Add conditional logic, intelligent routing, and multi-step workflows to automate what happens after each response.
- **Editable and secure submissions:** Respondents can log in to update their answers, and forms can be restricted to internal users only.
- **Branding and embeds:** Use custom themes, fonts, logos, custom CSS, your own domain, and embed forms as popups, sliders, or full-screen pages.
- **50+ integrations and analytics:** Send responses to spreadsheets, CRMs, and other tools, then review and collaborate on results with flexible views.

**Strengths:** AI-assisted building makes first drafts fast; Deep logic, workflows, and 50+ integrations; Strong branding controls including white-label and custom domains; SOC II Type 2 compliance and AES-256 encryption

**Limitations:** Advanced features require paid plans; Feature depth can be overwhelming for simple one-off forms; Popular templates see heavy competition for the same look

[Profile (Markdown)](https://openaitools.app/tool/fillout-com.md)

## Scale

Scale positions itself as the infrastructure layer for reliable AI - the data, evaluations and deployment support that sit underneath working systems rather than a single consumer-facing model. Founded in 2016, it built its reputation supplying training data and labelling capacity to the autonomous vehicle and then the generative AI wave, and now describes itself as powering a large share of the world's leading generative AI model builders.

The offering spans three broad areas. Data covers sourcing and expert annotation for training and fine-tuning, including RLHF-style preference data. Evaluation covers public leaderboards and private benchmarks used to measure model capability and safety. Applications covers the build-and-deploy side: identifying a viable use case, constructing the system and owning the outcome, with agentic AI for enterprise operations.

Scale's customer list leans heavily enterprise and public sector, including large technology companies, healthcare providers, media organisations, energy companies and government defence programmes. Because engagements are scoped rather than self-serve, pricing is arranged through a sales process, and the platform is aimed at organisations with serious data volume, strict compliance needs and a mandate to put AI into production.

**Pricing & Plans:** Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity.

- **Data Engine:** Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
- **Model evaluation & benchmarks:** Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
- **Enterprise AI applications:** Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
- **Agentic deployment:** Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
- **Domain expertise:** Programmes spanning healthcare, robotics, defence, public sector and enterprise with human oversight built in.

**Strengths:** Backed by a long track record in training data and model evaluation.; End-to-end coverage from data sourcing through to deployed systems.; Experienced with regulated, classified and safety-critical environments.; Benchmarks and leaderboards give an independent view of model capability.

**Limitations:** No public pricing or self-serve signup - you need a sales conversation to get started.; Enterprise-scale contracting and data operations require real internal commitment.; Overkill for small teams with modest data or evaluation needs.; Some projects involve sensitive government and defence work with strict compliance overhead.

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

## Frequently Asked Questions

### How do Fillout and Scale compare in monthly traffic?

Fillout has 3,923,917 monthly visits, while Scale has 616,915. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Fillout has a month-over-month growth rate of -9.7%; Scale has +12.5%.

### How does pricing compare?

Fillout: Freemium. Freemium. A free plan covers basic forms and submissions, with paid tiers for advanced logic, higher limits, file uploads, payments, and team collaboration. Scale: Contact for Pricing. Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity.

## 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 computer vision dataset annotation and model training, but is less suited for general LLM text tasks. | [.md](https://openaitools.app/tool/roboflow.md) |
| 2 | [forms.app](https://openaitools.app/tool/forms-app) | 987,157 | -11.2% | Freemium, Paid | Broader template library and multi-channel sharing features, but less flexible multi-page layout customization than Fillout. | [.md](https://openaitools.app/tool/forms-app.md) |
| 3 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business. | [.md](https://openaitools.app/tool/labelbox.md) |
| 4 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Provides enterprise multimodal annotation and data management tools, but with less emphasis on managed labeling workforces. | [.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 | [BlockSurvey](https://openaitools.app/tool/block-survey) | 302,480 | -14.9% | Freemium, Paid | Superior privacy-first encryption and secure data handling, but more restrictive workflow automation and styling capabilities. | [.md](https://openaitools.app/tool/block-survey.md) |
| 7 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation. | [.md](https://openaitools.app/tool/arize-com.md) |
| 8 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Specializes in data infrastructure and annotation specifically tailored for computer vision and physical AI workloads. | [.md](https://openaitools.app/tool/encord-com.md) |
| 9 | [Makeform](https://openaitools.app/tool/makeform) | 160,692 | -10.8% | Freemium | Faster AI form generation with built-in logic, but fewer advanced database integration and multi-page routing features. | [.md](https://openaitools.app/tool/makeform.md) |
| 10 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | Offers a flexible open-source alternative for custom data labeling and human-in-the-loop annotation pipelines. | [.md](https://openaitools.app/tool/label-studio.md) |

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Source: https://openaitools.app/compare/fillout-com-vs-scale

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
