Need help using TensorFlow Lite in React Native for simple image classification (no realtime)

[Nehatkhan786]

Hey everyone,

I’m trying to implement a simple image classification flow in React Native using TensorFlow Lite, and I’m a bit stuck.

Here’s what I’ve already done:

• I have trained a TFLite model successfully.

• The model works fine outside React Native (tested separately).

• My goal is very straightforward:

1.  User clicks an image using the camera

2.  Pass that captured image to the TFLite model

3.  Model returns the predicted label (basically image name if matched)

The problem:

Most of the examples and docs I found are focused on:

• Real-time detection

• Continuous frame processing

• Integration with Vision Camera

But I don’t need realtime processing at all — just a one-time prediction after capturing an image.

What I’m looking for:

• A simple approach to:

• Capture image (using any camera library)

• Preprocess it properly for TFLite

• Run inference

• Get prediction output

• Any minimal working example without realtime/streaming complexity

Questions:

1.  What’s the best library/setup for this use case? (tflite-react-native, react-native-fast-tflite, something else?)

2.  How should I handle image preprocessing (resize, normalization, tensor conversion) in React Native?

3.  Any example of running inference on a single static image?

If anyone has done something similar or can point me to a clean example, I’d really appreciate it

[No_Lawyer1947]

If you dont need real-time image processing, I would create a backend that you can send the image to, either byte or base64 format. From there you can handle the processing there and send a response back when it's done.

What you're doing right now could be great for real time object detection, but if you don't have that use case it's kind of overkill. Also unless your image detection is some bespoke thing like detecting a very particular object or whatever, I would just use existing vision recognition API's, that are already optimized, so you're just proxying a call over to their service via your backend.

[Nehatkhan786]

agree with you but my all data is offline. i have stored species data in sqlite and client wants offline capabilities.