Aiko vs Whisper (OpenAI)

Side-by-side comparison · Updated April 2026

 AikoAikoWhisper (OpenAI)Whisper (OpenAI)
DescriptionAiko is a high-quality, AI-powered audio transcription app that offers users the ability to convert speech to text directly on their devices, ensuring complete privacy. It leverages OpenAI's Whisper model to provide support for transcribing audio in over 100 languages. With features tailored for meetings, lectures, and more, Aiko integrates seamlessly into productivity workflows by supporting shortcuts and exporting transcriptions to various formats. The app is designed to run locally on macOS and iOS devices, adapting the model's size to the device's memory for optimal performance.Whisper is a cutting-edge automatic speech recognition (ASR) system created by OpenAI. Trained on 680,000 hours of multilingual and multitask supervised data from the web, Whisper boasts improved robustness to accents, background noise, and technical language. It provides transcription services in multiple languages and translates those languages into English. Whisper uses an encoder-decoder Transformer architecture that captures 30-second audio chunks, converts them to log-Mel spectrograms, and predicts corresponding text captions. Its large and diverse dataset helps Whisper outperform existing systems in zero-shot performance across diverse scenarios.
CategorySpeech-To-TextSpeech-To-Text
RatingNo reviewsNo reviews
PricingN/AN/A
Starting PriceN/AN/A
Use Cases
  • Professionals
  • Content Creators
  • Students
  • Researchers
  • Developers
  • Global businesses
  • Content creators
  • Researchers
Tags
AIaudio transcriptionspeech to textprivacyOpenAI Whisper
Automatic Speech RecognitionASRSpeech RecognitionTranscriptionTranslation
Features
On-device audio transcription ensuring privacy
Supports transcription in over 100 languages
Utilizes OpenAI's Whisper model for high-quality transcription
Seamless integration into productivity workflows with support for shortcuts
Exports transcriptions to various formats (JSON, CSV, subtitles)
Adapts the model's size based on device memory for optimal performance
High privacy with direct device processing
Supports audio and video file transcription
Designed for iOS and macOS devices
Does not support text editing within the app
High robustness to accents and background noise
Supports multiple languages
Translates languages into English
Encoder-decoder Transformer architecture
Processes 30-second audio chunks
Predicts text captions with special tokens integration
Improved zero-shot performance
Open-source with detailed resources
Enables voice interfaces for applications
Outperforms on CoVoST2 for English translation
 View AikoView Whisper (OpenAI)

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