# forms.app vs Labelbox

forms.app records 987,157 monthly visits with -11.2% month-over-month growth and Freemium, Paid pricing. Labelbox records 762,803 monthly visits with -22.8% growth and Contact for Pricing pricing.

| Metric | [forms.app](https://openaitools.app/tool/forms-app) | [Labelbox](https://openaitools.app/tool/labelbox) |
| :--- | :--- | :--- |
| Website URL | https://forms.app | https://labelbox.com |
| Categories | AI Forms, AI Quiz Generator, AI Quizzes | AI Developer Tools, AI API, AI Workflow, AI Productivity Tools |
| Pricing Model | Freemium, Paid | Contact for Pricing |
| Monthly Visits | 987,157 | 762,803 |
| MoM Growth Rate | -11.2% | -22.8% |
| Primary Market | Brazil | United States |
| Direct Visits | 595,531 | 370,024 |
| Review Score | 4.2 | 4.4 |
| Saved Count | 3 | 0 |
| Supported Platforms | Website | Website |

## forms.app

forms.app is built around a simple promise: collect data without limits and without a learning curve. The editor is drag-and-drop, so anyone on a team can assemble an application form, booking form, registration page or customer satisfaction survey in minutes, pulling from a library of 5000+ pre-built templates that already include the fields you would otherwise forget.

Beyond plain forms, the platform handles surveys, quizzes, polls and tests, and it adds AI assistance at several points. You can describe the form you need and let the AI form generator build it, ask for alternative phrasings of a question so it reads more naturally, or auto-generate multiple-choice answer options. Once responses arrive, real-time submission tracking, smart filters and AI insights help you interpret the data rather than just export it.

The team and automation side matters just as much: unlimited responses, views and members on the free tier, plus 500+ integrations and webhooks that push submissions into Google Sheets, CRMs or internal tools. Security posture includes GDPR compliance, ISO/IEC 27001 certification, PCI DSS and OWASP alignment, which is why the company positions itself as a fit for European and regulated buyers.

**Pricing & Plans:** Freemium with a permanently free tier that includes unlimited responses, views and team members. Paid plans unlock advanced branding, file uploads, e-signatures, PDF generation and higher storage; an Enterprise tier is available on request. Check the pricing page for current figures.

- **Drag-and-drop form builder:** Assemble forms, surveys, quizzes and polls visually, then brand them with custom themes and your own domain.
- **AI form generation:** Describe what you need and the AI drafts the full form; it can also rephrase questions and generate multiple-choice answer options.
- **500+ integrations and webhooks:** Automate the path from submission to spreadsheet, CRM or internal system without manual copying.
- **5000+ ready-made templates:** Start from reviewed templates for applications, bookings, feedback, HR, events and interactive quizzes.
- **Response analytics and AI insights:** Track submissions in real time, filter results, analyse drop-off and get AI summaries of what your data says.

**Strengths:** Unlimited responses, views and team members on the free plan; AI assists at every stage: full form generation, question rewording, answer options and response insights; Very large template library and deep integration catalogue; Strong compliance set including GDPR and ISO/IEC 27001

**Limitations:** Some advanced features such as e-signatures and custom PDF generation sit behind paid plans; Very wide template library can take a moment to navigate; Best experience for complex branding requires a learning curve

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

## 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)

## Frequently Asked Questions

### How do forms.app and Labelbox compare in monthly traffic?

forms.app has 987,157 monthly visits, while Labelbox has 762,803. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

forms.app has a month-over-month growth rate of -11.2%; Labelbox has -22.8%.

### How does pricing compare?

forms.app: Freemium, Paid. Freemium with a permanently free tier that includes unlimited responses, views and team members. Paid plans unlock advanced branding, file uploads, e-signatures, PDF generation and higher storage; an Enterprise tier is available on request. Check the pricing page for current figures. 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Fillout](https://openaitools.app/tool/fillout-com) | 3,923,917 | -9.7% | Freemium | Offers advanced no-code form customization and robust database integrations, but with slightly less automated AI generation. | [.md](https://openaitools.app/tool/fillout-com.md) |
| 2 | [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) |
| 3 | [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) |
| 4 | [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) |
| 5 | [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) |
| 6 | [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) |
| 7 | [BlockSurvey](https://openaitools.app/tool/block-survey) | 302,480 | -14.9% | Freemium, Paid | Focuses heavily on end-to-end encryption and privacy, trading some ease of design for high-security data collection. | [.md](https://openaitools.app/tool/block-survey.md) |
| 8 | [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) |
| 9 | [Makeform](https://openaitools.app/tool/makeform) | 160,692 | -10.8% | Freemium | Provides seamless AI-native form generation from text prompts, matching forms.app's speed with cleaner modern layouts. | [.md](https://openaitools.app/tool/makeform.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/forms-app-vs-labelbox

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