React Native Vision Camera | React Native Package To Give Camera Access To Your App

Maximize your React Native app with React Native Vision Camera. Explore innovation, glimpse the future with its creators, and elevate your projects.

Author

Namrata Basutkar
Namrata BasutkarSoftware Engineer - I

Date

Jan 24, 2024

Table of Contents

React Native Vision Camera is a powerful library that allows React Native apps to access device cameras and utilize advanced computer vision capabilities. In this post, we'll explore what React Native Vision Camera is, how it works, and why it's useful for React Native developers.

What is React Native Vision Camera?

OCR

React Native Vision Camera is built on top of Google's Mobile Vision API, providing a range of computer vision features like face detection, text recognition, barcode scanning, image labeling, and more. It offers an easy-to-use and consistent interface for leveraging these capabilities in React Native apps.

Some key use cases enabled by React Native Vision Camera include:

  • Face Detection - Used in apps like Google Photos to categorize pictures by person.
  • QR Code Scanning - Enables transactions in payment apps or scanning restaurant menus.
  • Logo Detection - Detects and recognizes logos in images.
  • Video Calling - Powers video chat capabilities.
  • Image Labeling - Identifies objects in images and labels them.
  • Text Recognition - Detects and extracts text from images.

React Native Vision Camera vs. React Native Camera

React Native Camera provides a straightforward interface for taking photos and videos with device cameras.

React Native Vision Camera builds on this by offering computer vision functionality to analyze and interpret images and videos.

FeatureReact Native CameraReact Native Vision Camera
Camera SwitchingOnly the front and back lenses.Detects all available cameras/lenses
Supported TasksBasic photo/video captureAdvanced text recognition, image labeling, landmark detection
Dependenciesexpo, react-native-permissionsOnly React Native Camera
Native LinkingRequires linking on iOS and AndroidNo native linking required
npm DownloadsLatest version (3.0.0-rc.10) had 15.6k downloads3.8.2 version had 80.7k downloads

Key Features of React Native Vision Camera

  • Versatile Camera Selection: Seamlessly switch between different cameras and lenses with device filtering.
  • Flexible Output Format Options: Tailor your photo and video output formats according to your preferences using format filtering.
  • Intuitive Zooming: Enjoy a fluid zooming experience facilitated by native gestures and React Native Reanimated.
  • Effortless Camera Device Switching: Experience smooth transitions between various camera devices for enhanced user convenience.
  • Adaptable Flash Modes: Capture stunning photos and videos with customizable flash modes catering to diverse scenarios.
  • Battery-Efficient Background Camera Mode: Optimize battery usage with a background camera mode designed to minimize power consumption while ensuring continued functionality.

Note: Our founders, Sanket Sahu, and Saurabh Sahu, recently got an opportunity to interact with the visionaries behind the React native vision camera! Take a look 👇🏻

Don't forget to follow and support the creators of the awesome React Native Vision Camera.

@mrousavy CEO of @margelo_io

Getting Started with React Native Vision Camera

To use React Native Vision Camera:

Step 1. Install React Native Vision Camera via npm.

Screenshot 2024-01-18 at 4.00.33 PM.png

Step 2. Request camera and microphone permissions.

Screenshot 2024-01-18 at 4.05.12 PM.png

Step 3. Import and use the <Camera> component(The instructions below entail a step-by-step approach to using the<Camera> component.)

Screenshot 2024-01-18 at 4.08.38 PM.png

Selecting the camera devices

Camera Devices are the physical (or "virtual") devices that can be used to record videos or capture photos. Different camera features and configurations can be achieved through this library.

Here are some common functions and configurations related to camera devices:

  1. Single Camera:
    • Utilize a single camera for capturing images or recording videos.
  2. Dual Camera:
    • Take advantage of devices with dual cameras to capture depth information or provide different perspectives.
  3. Wide-Angle Camera:
    • Access the wide-angle camera to capture a broader field of view in a single shot.
  4. Zoom:
    • Implement zoom functionality to focus on specific details by adjusting the camera's optical zoom level.
  5. Flashlight:
    • Control the camera's flashlight to provide additional illumination in low-light conditions.
  6. Auto-Focus:
    • Enable auto-focus functionality to ensure that the camera automatically adjusts its focus based on the scene.

Screenshot 2024-01-18 at 4.29.37 PM.png

If you simply want to use the default [CameraDevice](<https://react-native-vision-camera.com/docs/api/interfaces/CameraDevice>), you can just use whatever is available:

  • Hooks API
  • Imperative API

const device = useCameraDevice('back')

  1. Pass props to enable functionality like flash, zoom, and format filtering.
  2. Write frame processors in JS/TS to analyze image frames.

React Native Vision Camera Demo

React Native vision camera

Conclusion

React Native Vision Camera unlocks powerful computer vision capabilities for React Native apps. It enables tasks like face detection, text scanning, image labeling, and more using a consistent, easy-to-use interface.

For any React Native project that needs to leverage the device camera, Vision Camera is worth exploring as a robust, feature-rich library.

SHARE ON

Related Articles.

More from the engineering frontline.

Dive deep into our research and insights on design, development, and the impact of various trends to businesses.

How We Built an AI System That Automates Senior Solution Architect Workflows
Article

Apr 6, 2026

How We Built an AI System That Automates Senior Solution Architect Workflows

Discover how we built a 4-agent AI co-pilot that converts complex RFPs into draft technical proposals in 15 minutes — with built-in conflict detection, assumption surfacing, and confidence scoring.

AI Code Healer for Fixing Broken CI/CD Builds Fast
Article

Apr 6, 2026

AI Code Healer for Fixing Broken CI/CD Builds Fast

A deep dive into how GeekyAnts built an AI-powered Code Healer that analyzes CI/CD failures, summarizes logs, and generates code-level fixes to keep development moving.

A Real-Time AI Fraud Decision Engine Under 50ms
Article

Apr 2, 2026

A Real-Time AI Fraud Decision Engine Under 50ms

A deep dive into how GeekyAnts built a real-time AI fraud detection system that evaluates transactions in milliseconds using a hybrid multi-agent approach.

Building an Autonomous Multi-Agent Fraud Detection System in Under 200ms
Article

Apr 1, 2026

Building an Autonomous Multi-Agent Fraud Detection System in Under 200ms

GeekyAnts built a 5-agent fraud detection pipeline that makes decisions in under 200ms — 15x cheaper than single-model systems, with full explainability built in.

Building a Self-Healing CI/CD System with an AI Agent
Article

Mar 31, 2026

Building a Self-Healing CI/CD System with an AI Agent

When code breaks a pipeline, developers have to stop working and figure out why. This blog shows how an AI agent reads the error, finds the fix, and submits it for review all on its own.

Maestro Automation Framework — Advanced to Expert
Article

Mar 26, 2026

Maestro Automation Framework — Advanced to Expert

Master Maestro at scale. Learn architecture, reusable flows, CI/CD optimization, and how to eliminate flakiness in production-grade mobile automation.Master Maestro at scale. Learn architecture, reusable flows, CI/CD optimization, and how to eliminate flakiness in production-grade mobile automation.

Scroll for more
View all articles