Visual Intelligence Summit: Oct 22 in San Francisco Get your ticket

LandingAI is for documents, Roboflow is vision for the real world

LandingAI does document processing, Roboflow remains the industry standard for end-to-end computer vision. Join 1 million+ developers building the future of vision AI on a platform that’s here to stay.

Try it now for freeTalk to an AI Expert

Why are companies choosing Roboflow?

LandingAI is now focused on document processing. Roboflow is the turnkey solution for vision AI. Create datasets, train models, and deploy to production.

  • End-to-End Vision, One Platform

    From labeling to deployment - build, train, and launch with ease.

  • Built for Builders, Ready for Anything

    Interoperable infrastructure for developers to create custom vision solutions.

  • AI at the Edge, Without Limits

    Deploy seamlessly to any edge device and power real-time vision AI.

  • Roboflow Annotate labeling cans with AI box prompting

    Fast data labeling

    Label data quickly with a suite of AI-assisted annotation tools to augment human labeling or fully automate your data labeling pipeline.

  • Workflow blocks for notifications and integrations

    Build vision AI applications with ease

    Use a low-code open source platform to simplify building and deploying vision AI applications.

  • A video stream with detections and its NVIDIA Jetson device running

    Edge deployment

    Cloud and edge deployments (NVIDIA Jetson, Raspberry Pi, or mobile devices) for real-time, on-premise inference.

  • A list of NVIDIA Jetson devices and their status

    Devices for every scenario

    Software, compute, cameras: all the tools you need to deploy vision AI.

  • Logos of OpenAI, Microsoft, Meta, Anthropic, Google and Qwen

    Flexible model licensing

    Choose from a range of licensing options to fit your needs, whether for commercial use, private deployment, or collaboration across teams.

Ready to migrate from LandingLens to Roboflow in minutes?

  • Import images to Roboflow

    Bring data from LandingLens to Roboflow for model training.

  • Deploy with Roboflow

    No matter where you train your model, use Roboflow's trusted deployment solutions.

  • Automate data labeling

    Use AI labeling in Roboflow to automate 90% of human labeling.

OK I’m ready, how do I use Roboflow?

Roboflow makes it easy to build, train, and deploy custom computer vision models, even if you’re not a machine learning expert.

Start a free Roboflow account

Speak with an AI expert

Our team will help you start solving business problems on the first call.

Ask us about:

  • Solution architecting
  • Live demonstration
  • Pricing and specifications
  • Feasibility assessment

Over 16,000 organizations build with Roboflow.

  • Rivian
  • Pella
  • Chobani
  • USG Corporation
  • BNSF Railway
  • American Woodmark
Start where you are
Stay connected

Get the Latest in Computer Vision First

Unsubscribe at any time. Review our Privacy Policy.

Compare Roboflow and Landing AI

When it comes to comparing Roboflow and LandingAI, the primary difference lies in the future of your computer vision projects. While LandingAI is now focused on document processing, Roboflow remains the world’s most comprehensive platform for real-world computer vision.

Engineering teams are choosing Roboflow for its long-term stability and unmatched flexibility. With Roboflow, you gain access to an open-source deployment ecosystem and an interoperable infrastructure. Roboflow continues to power the full vision pipeline, from labeling and preprocessing to training and edge deployment, for industries ranging from robotics and manufacturing to healthcare and aerospace.

Ultimately, teams use Roboflow because it provides enterprise-grade stability, the option to deploy on anything from an NVIDIA Jetson at the edge to high-scale cloud clusters via Roboflow Cloud, and the ability to build complex application logic (like model chaining and industrial PLC triggers) through a visual drag-and-drop canvas with Roboflow Workflows. While others pivot away, Roboflow is doubling down on the tools engineers need to make machines see.

Roboflow

End-to-end computer vision platform

LandingAI

LandingLens (manufacturing CV) + Agentic Document Extraction

Scale & Ecosystem

Roboflow

  • 1,000,000+ developers on the platform
  • 1,000,000+ public datasets on Roboflow Universe
  • 100,000+ pre-trained models hosted publicly
  • 25,000+ organizations building with the platform, including more than half of the Fortune 100 (publicly cited: Rivian, Pella, Amgen, Chobani)

LandingAI

  • No publicly disclosed developer or organization count for LandingLens
  • No public catalog of community-contributed datasets or pre-trained models
  • Customer base publicly described as concentrated in manufacturing, automotive, electronics, and medical devices
  • Distribution partnership with Snowflake (LandingLens available on Snowflake Marketplace)

Product Capabilities (Computer Vision)

Roboflow

  • Native support for object detection, instance and semantic segmentation, image classification, keypoint detection, OCR, depth estimation, and multimodal tasks
  • Built-in foundation models including CLIP and SAM
  • Roboflow Workflows for chaining detection, classification, OCR, and business logic into a single pipeline
  • Active model registry covering RF-DETR, YOLO (v8 / v11 / v26), Detectron2, and other current architectures

LandingAI

  • LandingLens supports object detection, semantic segmentation, and image classification
  • No native support documented for keypoint detection, instance segmentation, depth estimation, or multimodal vision tasks
  • Separate product line (Agentic Document Extraction / ADE, DPT-2) is the company's stated strategic focus for new development as of 2025
  • Architecture and model choices abstracted from the user; no public registry of swappable model weights

Developer Experience

Roboflow

  • Open-source supervision library, model-agnostic utilities for detections, tracking, annotation, and evaluation
  • Open-source inference server, self-hostable HTTP inference for custom and foundation models
  • Native integrations with Hugging Face Transformers, MMDetection, and the broader open-source CV stack
  • Python SDK plus REST/HTTP APIs; standardized I/O lets teams swap model weights without changing application code

LandingAI

  • Official Python SDKs: landingai-python (LandingLens inference) and landingai-ade (Agentic Document Extraction)
  • REST API; MCP server published for ADE
  • Platform is positioned as low-code / no-code first; documented use cases assume the LandingLens UI as the primary workflow
  • No comparable open-source CV utility library or self-hostable inference server in mainstream community use

Enterprise & Security

Roboflow

  • SOC 2 Type II compliant
  • HIPAA-compliant infrastructure with BAAs available
  • PCI DSS (SAQ A and AOC) compliance
  • Deployment options: managed cloud, customer VPC, on-premises, and fully air-gapped / offline (Docker-based) for firewalled environments
  • Training and inference can run on customer-owned bare metal or in the customer's own cloud account

LandingAI

  • SOC 2 Type II compliant
  • HIPAA-compliant services available with BAA in place
  • PCI DSS compliance not publicly documented
  • Deployment options: managed cloud, LandingEdge for edge inference, and Snowflake-hosted (LandingLens on Snowflake); air-gapped and customer-VPC deployments not publicly documented as standard offerings

Sources: roboflow.com, docs.roboflow.com, security.roboflow.com, universe.roboflow.com, github.com/roboflow, landing.ai, docs.landing.ai, github.com/landing-ai, Snowflake Marketplace. Figures reflect publicly available information as of May 2026.