SpeechRecognition VS Flutter

Start and Stop Listening Example

There is a great library that has support not only with OpenAIs whisper but many others that also work offline. https://github.com/Uberi/speech_recognition

This is the library: https://github.com/Uberi/speech_recognition

It is python remote plugin that is a tin wrapper around speech_recognition package.

I am less familiar with speech recognition myself. I have implemented something similar many years ago, back when Google had a REST API that allowed you to upload audio and they would respond with the recognized words/sentence. I think they still have the same API available, though. They limited how much you could send, but for voice commands it was pretty solid. However, SpeechRecognition looks like a library worth trying out for this, as that seems like it could do offline processing depending on the underlying library. They also have some examples to look at.

SpeechRecognition

I found this one here

https://github.com/Uberi/speech_recognition/blob/master/reference/library-reference.rst this might help. I guess your best bet is to rtfm.

Let start another chapter of this journey with Dart by creating a mobile application with Flutter. For this post, a really simple application will be created called sandbox. Instead of adding some interactive part, like sending/receiving data from a backend, let simply design an application based on a wireframe.

Built with Flutter + flutter_gemma 0.15.1 + Whisper.cpp + sqflite. Targets 4–6 GB RAM Android phones like the Tecno Spark 10 and Infinix Hot 30 — the phones African kids actually share with their families.

The previous command generates a new flutter project with a default demo template for the web platform. Source code directly related to this kind of project can be found in the web directory. Let start the server with flutter run command.

#184572 Fix LicenseRegistry docs to reference NOTICES

I found Issue #177414, a cleanup task to remove cross-imports from widget test files. Specifically, many test files in the widgets package were importing from Material or Cupertino packages when they should only be importing from the core widgets or flutter_test packages. This created unnecessary coupling between layers of the framework.

For apps with custom-rendered UIs — React Native, Flutter, games — where the accessibility tree is sparse, MobAI offers an OCR fallback that returns recognized text with tap coordinates. The agent always has something to work with.

doesn't seem like it can though? https://github.com/flutter/flutter/issues/31713