Recos
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Introduction:Recos is a reliable and effective web application that converts audio recordings into written text.
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Category:Text&Writing
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Added on:Jun 08 2023
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Monthly Visitors:0.0
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Social & Email:
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Recos: An Overview
Recos is an innovative web application designed to transcribe audio content into text utilizing the Whisper API from OpenAI. It offers a robust and scalable solution while ensuring complete confidentiality for all user content. Recos is particularly useful in scenarios such as transcribing podcasts, converting audio lectures into written format, and creating subtitles for videos, catering to content creators, researchers, students, and anyone requiring precise audio-to-text conversion.
Recos: Main Features
- Utilizes the Whisper API from OpenAI for fast and reliable transcription.
- Handles large audio files up to 100 MB, accommodating diverse transcription requirements.
- Ensures complete confidentiality by not retaining any files on its servers.
Recos: User Guide
- Visit the Recos website and log in to your account.
- Upload your audio file in one of the supported formats (MP3, WAV, M4A, FLAC).
- Choose to use your own OpenAI API key or log in to utilize credits.
- Each credit allows you to generate one minute of audio transcription.
- Once the transcription process is complete, download the text output for your records.
Recos: User Reviews
- "Recos has been a game-changer for my podcasting workflow. The transcription is fast and accurate." - Lisa M.
- "I find Recos incredibly user-friendly and reliable. It makes converting my lecture recordings so easy!" - John T.
- "The confidentiality feature is a huge plus for me. I can trust that my audio files are safe." - Sarah K.
FAQ from Recos
What types of audio files can I use with Recos?
Recos is compatible with several popular audio formats such as MP3, WAV, M4A, and FLAC. Should you face any challenges with a particular format, feel free to reach out to our support team for help.
What level of precision can I expect from Recos' transcriptions?
Recos leverages the Whisper API developed by OpenAI, and the precision of the transcriptions is contingent on the capabilities of the OpenAI Whisper model.
Can you explain how the credit system operates?
Each credit you have allows for the transcription of one minute of audio. The time is rounded to the nearest minute, meaning that if your audio is 1 minute and 1 second, it will still count as a full minute.
Is there a way to improve the transcription quality on Recos?
To enhance transcription accuracy, you can ensure clear audio quality and minimize background noise. Additionally, providing context or specific instructions may help the model generate better results.
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