AudioAI transforms audio into written text. A simple and effective solution to save time. Whatever your need: journalist looking for interview transcriptions, student converting courses into notes, professional translating meeting minutes... Audio AI is up to the task.
Features
- Audio Transcription: convert your mp3, wav, and mpg files into written text with high accuracy.
- Youtube video transcription: get a text version of your videos on YouTube by giving its URL to AudioIA
- Language Translation: translate your transcribed audio files into another language for wider accessibility.
- Text Post-processing: optimize your transcribed content with editing features, ensuring clarity and format consistency.
- Interactive Chat: engage with both the audio and text to delve deeper into the content and refine your results.
- Batch Processing: handle multiple audio files simultaneously, saving time and boosting efficiency.
Practical use cases
- Journalists can transcribe audio interviews for easy referencing and writing articles.
- Students can convert course recordings into text for better study.
- Businesses can translate meeting recordings for multilingual colleagues and shareholders.
- Podcasters can create transcribed versions of their audio episodes to enhance their online presence and SEO.
- Researchers can transcribe and translate audio field recordings for analysis and report writing.
Combining with other AIs
To use the results of AudioIA with other AIs, simply mention "@" in the chat bar and select the desired AI.
How to use it ?
1- Click on the "Get Started" button below to access the platform.
2- You can then import the audio file or files that you want to transcribe and analyze using artificial intelligence.
3- If you like, you can continue to enrich your content through the features of AudioIA or by collaborating with other artificial intelligences available on the Swiftask platform.
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Anthropic's Claude 3 Haiku outperforms models in its intelligence category on performance, speed and cost without the need for specialized fine-tuning. Context window has been shortened to optimize for speed and cost
Gemini Pro 1.5 is the next-generation model that delivers enhanced performance with a breakthrough in long-context understanding across modalities. It can process a context window of up to 1 million tokens, allowing it to find embedded text in blocks of data with high accuracy. Gemini Pro 1.5 is capable of reasoning across both image and audio for videos uploaded in Swiftask.
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