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Audext

Transcribe text automatically.

Try Audext

What is Audext?

Try Audext

Audext is an online audio to text conversion service that uses cutting-edge machine learning to transcribe audio files into text automatically. It offers fast and accurate transcription options, with features like speaker identification, timestamping, and support for various audio formats.

Features:

  1. Automatic Transcription: Transcribe audio files quickly and effortlessly using AI-powered automation.
  2. Professional Transcription: Get high-quality transcriptions by native speakers with 99% accuracy.
  3. Audio Formats: Audext supports popular audio formats including MP3, WAV, OGG, WMA, M4A, and MP4.
  4. Speaker Identification: Easily identify speakers in podcasts or interviews.
  5. Timestamping: Add timestamps to your transcription for easy reference.
  6. In-Built Editor: Edit your transcriptions using features like word highlighting, find and replace, and adjustable playback speed.
  7. Cost-Effective: Audext is 200X faster than manual transcription services and offers competitive pricing.
Use Cases:

  • Media: Journalists and podcasters can transcribe interviews and voice memos to have written records and easily search through recordings.
  • Business: Corporate meetings can be transcribed and securely stored, and transcripts can be edited without human interference.
  • Education: Students and researchers can transcribe MP3 files to text, facilitating the analysis and verification of recorded speech.
  • Researchers: Transcribe hours of recordings for research purposes and freely verify and correct them.
How to use it?

  1. Sign up for Audext or log in to your account.
  2. Upload your audio file in one of the supported formats (MP3, WAV, OGG, WMA, M4A, MP4).
  3. Choose between Automatic or Professional transcription options.
  4. Wait for the transcription process to complete.
  5. Access your transcribed text in DOC or TXT format.
  6. Edit the transcription using the in-built editor if needed.
  7. Save or export the transcribed text as required.
Published on Feb. 2, 2024