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Recos

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Recos Overview

Recos is a powerful web application that transcribes audio content into text using the robust and speedy Whisper API from OpenAI. It supports a variety of common audio file formats such as MP3, WAV, M4A, and FLAC, and can handle large files up to 100 MB. Recos ensures complete privacy as it does not retain any files on its servers. The accuracy of the transcription is dependent on the OpenAI Whisper model. Users can generate 1 minute of audio transcription with 1 credit.

Recos Highlights

  • Recos uses the robust and speedy Whisper API from OpenAI, ensuring a stable experience.
  • It can process large audio files up to 100 MB, demonstrating its scalability.
  • Recos ensures complete confidentiality as it does not retain any files on its servers.

Use Cases

A podcast producer uses Recos to transcribe their audio content into text. They upload their latest podcast episode, which is in MP3 format and 80 MB in size.

The podcast episode is successfully transcribed into text. The producer can now use this transcription for various purposes, such as creating a blog post, generating subtitles, or improving their SEO.

A business executive uses Recos to transcribe their recorded business meetings into text. They upload the audio file of the meeting, which is in WAV format and 50 MB in size.

The business meeting is successfully transcribed into text. The executive can now use this transcription to create accurate meeting minutes, track decisions made, and assign tasks to team members.

A researcher uses Recos to transcribe their interviews into text. They upload the audio file of the interview, which is in FLAC format and 30 MB in size.

The interview is successfully transcribed into text. The researcher can now use this transcription to analyze the responses, quote accurately in their research paper, and share the findings with their team.

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