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Recos

Recos

Recos is a secure and efficient web app that transcribes audio into text.

audio transcriptionWhisper APIOpenAI
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Introduction

Recos is a web app that transcribes audio content into text using the Whisper API from OpenAI. It provides a stable and scalable experience, with complete confidentiality for your content.

What stands out?

Recos offers stability by using the Whisper API from OpenAI, ensuring a fast and reliable transcription process. It can handle large audio files up to 100 MB, providing scalability for various transcription needs. Complete confidentiality is maintained as Recos does not retain any files on its servers.

Frequently Asked Questions

What is Recos?

Recos is a web app that transcribes audio content into text using the Whisper API from OpenAI. It provides a stable and scalable experience, with complete confidentiality for your content.

How to use Recos?

To use Recos, simply log in to the website and upload your audio file in one of the supported formats (MP3, WAV, M4A, FLAC). You can either use your own OpenAI API key or login to use credits. Each credit allows you to generate 1 minute of audio transcription. Once the transcription is generated, you can download the text output.

What audio file formats does Recos support?

Recos supports a variety of common audio file formats, including MP3, WAV, M4A, and FLAC. If you encounter any issues with a specific file format, please contact our customer support team for assistance.

How accurate is the transcription generated by Recos?

Recos uses the Whisper API from OpenAI, and the accuracy of the transcription depends on the OpenAI Whisper model.

How does the credit count work?

Each credit allows you to generate 1 minute of audio transcription. The duration is rounded to the nearest minute. For example, 1 minute 1 second will be counted as 1 minute.

More Information

Recos Login

Recos Login Link: https://www.recos.studio/login

Recos Pricing

Recos Pricing Link: https://www.recos.studio/pricing

Recos Twitter

Recos Twitter Link: https://twitter.com/shimenmen

Recos Github

Recos Github Link: https://github.com/stonega/recommends

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Use Cases

  • Recos is useful for various scenarios such as transcribing podcasts, converting audio lectures into text, creating subtitles for videos, and more. It can be used by content creators, researchers, students, and anyone in need of accurate and efficient audio-to-text conversion.

How to Use

To use Recos, simply log in to the website and upload your audio file in one of the supported formats (MP3, WAV, M4A, FLAC). You can either use your own OpenAI API key or login to use credits. Each credit allows you to generate 1 minute of audio transcription. Once the transcription is generated, you can download the text output.