Session 11 | Voice Input in Flutter Apps | OpenAI Whisper & speech_to_text | Dectac 2025
Hello Developers!
Welcome to the eleventh session of our series “How to Become Flutter Developer with AI integration”.
I am Lavi Sengar, Flutter Developer and Tutor at Dectac, and in this session, we give your Flutter apps a voice. After making your apps “think” (text generation) and “see” (image generation), this week we’ll explore how to make them listen and understand speech using speech-to-text technology.
We’ll cover both on-device speech recognition (using Flutter’s speech_to_text plugin) and AI-powered cloud transcription (using OpenAI’s Whisper API). Whether you're a complete beginner or want to learn something new and advanced, this video is for you.
Why Learn Voice Input?
Voice is the future of human-computer interaction. It improves accessibility, adds hands-free convenience, and opens doors to apps like voice assistants, dictation tools, and language learning platforms.
In this video, you will learn:
Why Voice Input?
• Accessibility, convenience, and hands-free interaction
• Why modern apps need voice features
On-Device Speech-to-Text
• Using the speech_to_text Flutter plugin
• Pros & cons (fast, offline vs. limited accuracy)
• Example code for initialization, listen, and stop
Cloud-Based Speech Recognition with Whisper
• Introduction to OpenAI’s Whisper model
• Whisper API endpoint (/audio/transcriptions) explained
• Handling file uploads with multipart requests in Flutter
Recording Audio in Flutter
• Using the record package to capture audio
• Saving audio files and preparing them for upload
Uploading and Transcribing with Whisper
• Sending multipart POST requests with audio files
• Getting back accurate transcriptions in JSON
Live Build – Voice Notes App
• A fun app where users record a voice note and get instant transcription
• Includes record/stop button, loading state, and transcription output
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Contact Us:
📱 +91-8645010203
🌐 www.dectac.com
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