# Roboflow vs Sieve

Roboflow records 1,431,204 monthly visits with +6.6% month-over-month growth and Freemium, Contact for Pricing pricing. Sieve records 124 monthly visits with +1.6% growth and Contact for Pricing pricing.

| Metric | [Roboflow](https://openaitools.app/tool/roboflow) | [Sieve](https://openaitools.app/tool/sieve) |
| :--- | :--- | :--- |
| Website URL | https://roboflow.com | https://www.sieve.ai |
| Categories | AI Developer Tools, AI API, AI Models, AI Workflow | AI API, AI Dubbing, AI Video Translator, AI Video Editor |
| Pricing Model | Freemium, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 1,431,204 | 124 |
| MoM Growth Rate | +6.6% | +1.6% |
| Primary Market | United States | Global |
| Direct Visits | 676,465 | 54 |
| Review Score | 4.6 | 4.1 |
| Saved Count | 4 | 0 |
| Supported Platforms | Website | Website |

## Roboflow

Roboflow is a computer vision platform built for what it calls AI for the physical world. Its goal is to move vision projects from idea to production without stitching together a dozen separate tools. The platform covers the full lifecycle: collecting and labeling image data with AI-assisted annotation, training and comparing models, assembling multi-step workflows, and deploying inference in the cloud or on edge hardware.

The annotation layer uses frontier models and custom filters to label thousands of images quickly, which drastically cuts the most tedious part of a vision project. From there, teams train models, evaluate them, and then build Roboflow Workflows that combine object detection, tracking, motion detection, line counters, and notification blocks into a single pipeline. This makes it possible to, for example, detect defects on a production line, count items on a conveyor, and send an alert when a threshold is crossed.

Roboflow also leans heavily into developer ergonomics. It maintains popular open-source projects such as supervision, inference, RF-DETR, trackers, and notebooks, and exposes an MCP server so coding agents like Claude Code, Cursor, Codex, and Gemini CLI can build deployable vision applications. Deployment targets span cloud inference and edge devices, and the customer base includes more than half the Fortune 100, with published case studies in rail logistics, building materials, and consumer goods. A free tier lets individuals and small teams start building before committing to a paid plan.

**Pricing & Plans:** Roboflow offers a free tier that the company says is enough to start building, and paid plans for more usage and team features. Larger enterprise and high-volume deployments are priced through a sales conversation, so exact figures depend on your project and should be confirmed on the pricing page or with Roboflow directly.

- **AI-assisted annotation:** Label thousands of images in minutes using frontier models and custom filters, then curate datasets for training.
- **Visual Workflows builder:** Combine detection, tracking, and logic blocks to orchestrate actions, update databases, and connect to industrial systems.
- **Cloud and edge deployment:** Run high-speed inference in the cloud or on edge devices, processing live video and images wherever the application lives.
- **Roboflow Agent:** Get into production quickly with an agent that sees the world, understands what is happening, and triggers actions.
- **Developer and open-source tooling:** Connect coding agents like Claude Code, Cursor, Codex, or Gemini CLI to the Roboflow MCP server, and build on open-source projects including supervision, inference, RF-DETR, and trackers.

**Strengths:** Covers the whole vision lifecycle in one platform, from annotation to deployment; AI-assisted labeling dramatically speeds up dataset preparation; Roboflow Workflows chain detection, tracking, and actions without heavy custom code; Deployment in the cloud or on edge devices, with live video support

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

## Sieve

Sieve began life as a video API company offering endpoints for translation, dubbing, background removal, lipsync, autocrop and transcription. That product line has since been superseded: the company published an announcement titled "Reintroducing Sieve" describing its transition from video APIs to supplying multimodal data at petabyte scale, and the original sievedata.com domain now resolves to sieve.ai.

Today Sieve operates as a data lab for what it calls real-world intelligence. Instead of selling individual API calls, it works with frontier AI companies to design, capture, annotate and deliver high-quality training and evaluation data. Its public offerings include egocentric first-person video of economically valuable work with hand-pose and sensor annotations, custom multi-camera studio recordings, simulated and real-world robotics evaluations, virtual-world capture with synchronised control inputs and camera metadata, and datasets targeting motion, causality and spatial reasoning.

Underneath the data products sits serious infrastructure. Sieve has published engineering work on embedding one billion videos and querying tens of billions of vectors, which is the kind of stack you need to make petabyte-scale audiovisual archives searchable for model training. The practical route in is a conversation rather than a signup: visitors are pointed at "Talk to us" and "Request data" flows, and the company is actively hiring researchers and engineers.

**Pricing & Plans:** No public price list. Sieve is positioned as a custom engagement led by a "Talk to us" / "Request data" contact flow, so commercial terms are scoped per project, data volume and capture complexity. Earlier self-serve API pricing is no longer published.

- **Egocentric data capture:** First-person recordings of economically valuable physical work, paired with hand-pose, motion and synchronised sensor annotations.
- **Studio and custom rig recordings:** Multi-camera video and audio collection with bespoke rigs and controlled environments built to a client's specification.
- **Robotics evaluations:** Both simulated and real-world test suites that measure how well robot policies perform across tasks and conditions.
- **Large-scale media infrastructure:** Petabyte-scale synchronised video and audio datasets, including published engineering work on embedding a billion videos for retrieval.
- **Real-world reasoning datasets:** Datasets and benchmarks targeting motion, causality and spatial relationships for models that must reason about the physical world.

**Strengths:** Deep specialisation in hard-to-collect embodied and egocentric data; In-house research and infrastructure proven at billion-video scale; Offers evaluations alongside datasets, not just raw media; Works directly with frontier labs, which signals high data quality standards

**Limitations:** Pricing is quote-based, so there is no self-serve cost transparency; Most offerings require an engagement rather than instant API signup; Documentation for the older video API suite is no longer reachable at the previous docs domain; Overkill for teams that only need a single simple video-processing endpoint

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

## Frequently Asked Questions

### How do Roboflow and Sieve compare in monthly traffic?

Roboflow has 1,431,204 monthly visits, while Sieve has 124. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Roboflow has a month-over-month growth rate of +6.6%; Sieve has +1.6%.

### How does pricing compare?

Roboflow: Freemium, Contact for Pricing. Roboflow offers a free tier that the company says is enough to start building, and paid plans for more usage and team features. Larger enterprise and high-volume deployments are priced through a sales conversation, so exact figures depend on your project and should be confirmed on the pricing page or with Roboflow directly. Sieve: Contact for Pricing. No public price list. Sieve is positioned as a custom engagement led by a "Talk to us" / "Request data" contact flow, so commercial terms are scoped per project, data volume and capture complexity. Earlier self-serve API pricing is no longer published.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ImageKit](https://openaitools.app/tool/imagekit) | 947,721 | -13.7% | Freemium, Paid, Contact for Pricing | Real-time image and video APIs, agentic DAM and creative automation in one platform | [.md](https://openaitools.app/tool/imagekit.md) |
| 2 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Run, fine-tune, and deploy machine learning models with one line of code | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 3 | [Ultralytics](https://openaitools.app/tool/ultralytics) | 793,423 | +8.7% | Freemium | Focuses specifically on the YOLO model family for real-time object detection, whereas Roboflow offers a broader suite of annotation and dataset tools. | [.md](https://openaitools.app/tool/ultralytics.md) |
| 4 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Provides powerful enterprise data labeling and curation workflows, but lacks Roboflow's built-in model training and edge deployment pipelines. | [.md](https://openaitools.app/tool/labelbox.md) |
| 5 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | The data, evaluations and systems behind AI that has to be right. | [.md](https://openaitools.app/tool/scale.md) |
| 6 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | AI data infrastructure for building production-grade models | [.md](https://openaitools.app/tool/super-annotate.md) |
| 7 | [AI or Not](https://openaitools.app/tool/ai-or-not) | 375,863 | +12.3% | Freemium, Contact for Pricing | Multi-modal AI detection API that flags synthetic images, text, audio, video and deepfakes | [.md](https://openaitools.app/tool/ai-or-not.md) |
| 8 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | The multimodal data layer for computer vision and physical AI teams | [.md](https://openaitools.app/tool/encord-com.md) |
| 9 | [AI/ML API](https://openaitools.app/tool/ai-ml-api) | 232,946 | -20.1% | Pay-as-you-go credits (free to start); enterprise custom pricing on request | One universal API for 500+ AI models and 1,000+ agentic tools | [.md](https://openaitools.app/tool/ai-ml-api.md) |
| 10 | [Memories.ai](https://openaitools.app/tool/memories-ai) | 188,127 | -14.6% | Freemium, Contact for Pricing | Video data infrastructure for physical AI and robot training | [.md](https://openaitools.app/tool/memories-ai.md) |

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Source: https://openaitools.app/compare/roboflow-vs-sieve

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