FileTranscribe

Convert audio recordings into accurate text fast, with automated speaker detection, topic analysis, and customizable settings for efficient transcription workflows.
Transcription Services Automated Transcription Speech to Text

FileTranscribe is an AI transcription service that converts audio recordings into text. The service is designed to get the job done fast and accurately, so you can spend your time on more important things.

FileTranscribe is designed to meet a variety of transcription needs. With the service, you can:

  • Get Accurate Transcriptions: Our AI models are trained to produce accurate and precise transcriptions of your audio files.
  • Get Transcripts Fast: Convert spoken words into text in a matter of minutes.
  • Translate and Summarize: Translate transcripts into more than 100 languages and summarize text for quick understanding.
  • Detect Speaker, Topic and Intent: Identify speakers and label them automatically. Detect topics and intent behind spoken words.
  • Customize Settings: Customize settings to suit your needs, including formatting, language and filler word removal.

The service has an intuitive interface that makes it easy to use, even if you're new to transcription. Automated workflows reduce manual labor, and our dedicated support team is here to help with any questions or issues.

Pricing is tiered to accommodate different needs:

  • Lite: Free, with 100 minutes of transcription per month and basic features.
  • Pro: $19/month, with 5000 minutes of transcription per month and premium support, advanced security and other features.
  • Business: $49/month, with 25000 minutes of transcription per month and more cloud storage.
  • Enterprise: $99/month, with unlimited transcription minutes and unlimited cloud storage.

FileTranscribe is great for individuals, small teams and large enterprises who want to streamline their transcription workflows. Whether you're a journalist, data engineer or student, we're here to help you get the job done quickly and easily.

Published on July 24, 2024

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