Use OCR Model to Build Computer Vision Pipelines and Applications

Workflows allows you to integrate OCR Model with models, logic, and applications.
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Connect OCR Model to other blocks to build a custom workflow

Retrieve the characters in an image using Optical Character Recognition (OCR). This block returns the text within an image. You may want to use this block in combination with a detections-based block (i.e. ObjectDetectionBlock). An object detetcion model could isolate specific regions from an image (i.e. a shipping container ID in a logistics use case) for further processing. You can then use a CropBlock to crop the region of interest before running OCR. Using a detections model then croipping detections allows you to isolate your analysis on particular regions of an image.
Model

OCR Model

Run Optical Character Recognition on a model.
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Explore Popular Combinations Using OCR Model

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How to Build a Workflow

Learn how to use a low-code open source platform to simplify building and deploying vision AI applications.
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Choose a Block

Choose from 40+ pre-built blocks that let you use custom models, open source models, LLM APIs, pre-built logic, and external applications. Blocks can be models from OpenAI or Meta AI, applications like Google Sheets or Pager Duty, and logic like filtering or cropping.
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Connect Blocks

Each block can receive inputs, execute code, and send outputs to the next block in your Workflow. You can use the drag-and-drop UI to configure connections and see the JSON definitions of what’s happening behind the scenes.
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Deploy Workflows

You’ll receive an output of the final result from your Workflow and the format you want it delivered in, like JSON. Once your Workflow produces sufficient results, you can use the Workflow as a hosted API endpoint or self-host in your own cloud, on-prem, or at the edge.

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Deploy Workflows at Scale

Roboflow powers millions of daily inferences for the world’s largest enterprises on-device and in the cloud
Deploy your Workflows directly on fully managed infrastructure through an infinitely-scalable API endpoint for high volume workloads
Run Workflows on-device, internet connection optional, without the headache of environment management, dependencies, and managing CUDA versions.
Isolate dependencies in your software by using the Python SDK or HTTP API to operate and maintain your Workflows separate from other logic within your codebase
Supported devices include ARM CPU, x86 CPU, NVIDIA GPU, and NVIDIA Jetson

Customize Your Pipeline

Connect models from OpenAI or Meta AI, applications like Slack or Pager Duty, and logic like filtering or cropping.
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