# Screenify vs Ultralytics

Screenify records 4,326 monthly visits with -17.1% month-over-month growth and Free Trial, Paid, Contact for Pricing pricing. Ultralytics records 793,423 monthly visits with +8.7% growth and Freemium pricing.

| Metric | [Screenify](https://openaitools.app/tool/screenify) | [Ultralytics](https://openaitools.app/tool/ultralytics) |
| :--- | :--- | :--- |
| Website URL | https://screenify.ai | https://www.ultralytics.com |
| Categories | AI Interview Assistant, AI Recruiting, AI Chatbot | AI Developer Tools, AI Image Recognition, AI Models, No-Code&Low-Code |
| Pricing Model | Free Trial, Paid, Contact for Pricing | Freemium |
| Monthly Visits | 4,326 | 793,423 |
| MoM Growth Rate | -17.1% | +8.7% |
| Primary Market | United States | China |
| Direct Visits | 1,694 | 239,747 |
| Review Score | 4 | 4.6 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Screenify

Screenify positions itself as a fully automated screener rather than another skills-assessment tool. The company reports that customers see around a 33% reduction in time to hire, 10x more hiring capacity, and up to 90% lower hiring costs, figures it attributes to removing scheduling back-and-forth and manual first-round screening. Customer testimonials cited on the site mention over 80% alignment between Screenify's evaluations and internal team assessments, which is the kind of claim worth validating against your own roles during a trial.

The workflow is deliberately simple. A recruiter builds the interview, writes the questions and scoring criteria, and sends invitations to applicants. Candidates receive an email with a custom intro video and then complete the conversation on Google Meet or Zoom at any hour, which removes the usual scheduling friction and tends to improve completion rates. Screenify then returns scored summaries so the hiring team can shortlist quickly.

Integration is handled through applicant tracking systems as well as non-ATS tools such as Typeform and Airtable, and companies without an ATS can still share candidate details inside the platform. Plans scale by job role and interview volume, with a 7-day free trial on paid tiers and custom pricing for high-volume or private-infrastructure requirements.

**Pricing & Plans:** Screenify uses volume-based pricing with a 7-day free trial on paid plans: Starter at $149/month covers 1 job role and up to 100 interviews per month, Growth at $629/month covers up to 5 job roles, 500 interviews, up to 3 integrations, and custom branding, and larger requirements are quoted custom. Credits are only charged for interviews that candidates start and join.

- **Fully automated screening:** Create an interview, define scoring criteria, and send invitations automatically so screening, scheduling, and feedback collection happen without manual coordination.
- **Adaptive, personalised interviews:** Every interview is tailored to the role and the candidate's experience, and the AI follows up on responses the way a human interviewer would.
- **Consistent AI scoring:** Candidates are scored against your company's criteria using AI evaluation, which reduces interviewer bias and keeps comparisons fair across applicants.
- **Candidate-friendly experience:** Applicants get an email invite, a custom intro video, and the freedom to interview any time through Google Meet or Zoom, with your own branding throughout.
- **ATS and workflow integrations:** Connect Screenify to your ATS or to no-code tools like Typeform and Airtable so candidate data flows into the systems you already use.

**Strengths:** Fully automates first-round screening, scheduling, and feedback collection; Candidates can interview any time via Google Meet or Zoom, improving completion rates; AI scoring applies your criteria consistently and reduces interviewer bias; Works with ATS platforms as well as non-ATS tools like Typeform and Airtable

**Limitations:** Pricing starts at $149/month, which is steep for very small teams or occasional hiring; Interview credits are metered monthly, so high-volume hiring seasons can push you into an upgrade; Advanced features such as custom branding and multiple ATS integrations are gated behind the Growth tier; AI scoring is consistent but still benefits from a human review pass for senior or highly specialized roles

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

## Ultralytics

Ultralytics is best known as the maintainer of the YOLO model family, one of the most widely deployed families of real-time computer vision models. The same codebase spans seven vision tasks — detection, instance segmentation, pose estimation, oriented bounding boxes, classification, tracking, and more — so teams can move from a quick prototype to production inference without switching frameworks. Models export to a long list of runtimes including ONNX, TensorRT, CoreML, and other formats for edge and embedded targets.

Beyond the models, Ultralytics offers a hosted Platform that handles the operational side of vision projects. You can label datasets with SAM-powered assisted annotation, fine-tune or train models on cloud GPUs (including AutoTrain), and deploy to managed regions that scale to zero when idle. An agent-style workflow builder lets teams chain models, logic, and alerting into pipelines, which suits industrial inspection, safety monitoring, and analytics products.

Licensing is dual-track. The open-source path is released under AGPL-3.0, which is fine for open projects but imposes copyleft obligations on closed-source products. Companies shipping YOLO inside proprietary software typically purchase an enterprise license instead, which removes those obligations and adds on-premise or private-cloud deployment, broad export format support, and direct engineering support. Ultralytics also publishes extensive documentation and tutorials, which is a large part of why the ecosystem is so widely adopted by students, researchers, and commercial integrators alike.

**Pricing & Plans:** Freemium. The YOLO models and tooling are available open source under AGPL-3.0 at no cost; the Ultralytics Platform offers free and paid cloud tiers, and commercial use inside closed-source products requires a paid enterprise license with custom support terms.

- **YOLO real-time vision models:** One model family covering detection, instance segmentation, pose estimation, oriented boxes, classification, and tracking, tuned for real-time inference on GPU, CPU, and edge devices.
- **Ultralytics Platform for the full lifecycle:** Label data with SAM-assisted annotation, train on cloud GPUs with AutoTrain, and deploy to managed regions that scale to zero when idle.
- **Broad export and runtime support:** Ship trained models to ONNX, TensorRT, CoreML, TFLite, and many other formats for cloud servers, mobile devices, and embedded hardware.
- **Dual licensing for open and commercial use:** Adopt the open-source AGPL-3.0 release, or purchase an enterprise license to embed YOLO in closed-source products without copyleft obligations.
- **Workflow and agent builder:** Chain vision models, business logic, and Slack-style alerts into automated pipelines for monitoring, inspection, and analytics.

**Strengths:** Mature, heavily documented model family with millions of daily inference usages and a large open-source community; Covers the whole lifecycle — annotation, training, deployment — so teams avoid stitching together separate vendors; Wide export format support makes it practical to target cloud, mobile, and embedded hardware from one codebase; Enterprise licensing removes AGPL obligations for closed-source commercial products

**Limitations:** AGPL-3.0 on the open-source release is a blocker for many commercial closed-source deployments without a paid license; Achieving top accuracy still requires careful dataset curation and hyperparameter tuning rather than one-click results; Heavy dependence on the hosted Platform for managed features can create lock-in for teams that later want to self-host

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

## Frequently Asked Questions

### How do Screenify and Ultralytics compare in monthly traffic?

Screenify has 4,326 monthly visits, while Ultralytics has 793,423. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Screenify has a month-over-month growth rate of -17.1%; Ultralytics has +8.7%.

### How does pricing compare?

Screenify: Free Trial, Paid, Contact for Pricing. Screenify uses volume-based pricing with a 7-day free trial on paid plans: Starter at $149/month covers 1 job role and up to 100 interviews per month, Growth at $629/month covers up to 5 job roles, 500 interviews, up to 3 integrations, and custom branding, and larger requirements are quoted custom. Credits are only charged for interviews that candidates start and join. Ultralytics: Freemium. Freemium. The YOLO models and tooling are available open source under AGPL-3.0 at no cost; the Ultralytics Platform offers free and paid cloud tiers, and commercial use inside closed-source products requires a paid enterprise license with custom support terms.

## 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 | Provides an all-in-one ecosystem for dataset annotation, model training, and edge deployment. | [.md](https://openaitools.app/tool/roboflow.md) |
| 2 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Enterprise-grade labeling and data curation platform for complex computer vision training pipelines. | [.md](https://openaitools.app/tool/labelbox.md) |
| 3 | [Metaview](https://openaitools.app/tool/metaview) | 259,340 | +54.3% | Freemium, Contact for Pricing | Agentic recruiting platform for sourcing, screening, and interviews | [.md](https://openaitools.app/tool/metaview.md) |
| 4 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Provides advanced multimodal dataset curation and annotation tools specifically for computer vision teams. | [.md](https://openaitools.app/tool/encord-com.md) |
| 5 | [Alex AI](https://openaitools.app/tool/alex-ai) | 235,876 | +49.3% | Contact for Pricing | An AI recruiter that interviews, verifies, and screens every applicant | [.md](https://openaitools.app/tool/alex-ai.md) |
| 6 | [Frigate NVR](https://openaitools.app/tool/frigate-nvr) | 216,701 | -21.2% | Freemium | Open-source self-hosted NVR optimized for running real-time local object detection on security feeds. | [.md](https://openaitools.app/tool/frigate-nvr.md) |
| 7 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | Open-source labeling tool with extensible support for custom computer vision annotation tasks. | [.md](https://openaitools.app/tool/label-studio.md) |
| 8 | [FloCareer](https://openaitools.app/tool/flocareer) | 136,868 | -9.8% | Contact for Pricing | Interviews on demand, AI-driven or expert-led | [.md](https://openaitools.app/tool/flocareer.md) |
| 9 | [Voxel51](https://openaitools.app/tool/voxel51-com) | 117,715 | -8.2% | Contact for Pricing | Specializes in dataset curation, visualization, and quality evaluation for computer vision workflows. | [.md](https://openaitools.app/tool/voxel51-com.md) |
| 10 | [Viso Now](https://openaitools.app/tool/viso-now) | 111,150 | -3% | Freemium, Contact for Pricing | Focuses on prompt-based rapid assembly of end-to-end enterprise computer vision applications. | [.md](https://openaitools.app/tool/viso-now.md) |

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Source: https://openaitools.app/compare/screenify-vs-ultralytics

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