Top 10 Speech To Text Software

Speech-to-text software, also known as voice recognition software, converts spoken language into written text. Here are some popular speech-to-text software options:

  1. Dragon NaturallySpeaking (Nuance Communications): Dragon is one of the most well-known and comprehensive speech-to-text solutions. It offers accurate transcription and a wide range of features, including voice commands for hands-free computer operation.
  2. Google Speech-to-Text: Google’s cloud-based service provides accurate and real-time speech recognition. It’s commonly used in various applications and services, including transcription and voice assistants.
  3. Microsoft Azure Speech Service: Microsoft’s cloud-based solution offers speech recognition with support for multiple languages. It can be integrated into various applications and services.
  4. IBM Watson Speech to Text: IBM’s Watson platform provides powerful speech-to-text capabilities, offering support for multiple languages, audio formats, and industry-specific jargon.
  5. is a web-based service that offers real-time transcription with collaborative features. It’s often used for note-taking, meetings, and interviews.
  6. Rev: Rev provides both automated and human-powered transcription services. You can upload audio or video files, and they will be transcribed accurately.
  7. Sonix: Sonix offers automated transcription with features like speaker identification, real-time collaboration, and integration with various platforms.
  8. Speechmatics: Speechmatics offers automatic speech recognition technology with support for multiple languages and dialects. It can be integrated into various applications and services.
  9. Trint: Trint is a web-based platform that offers automated transcription, editing, and collaboration features. It’s often used for transcription of interviews, podcasts, and more.
  10. Braina Pro: Braina Pro is a personal assistant software that includes speech recognition for voice commands and dictation. It can perform various tasks based on voice input.

When choosing speech-to-text software, consider factors such as accuracy, language support, ease of use, integration options, and pricing. Different software may be more suitable for different use cases, so it’s important to evaluate your specific needs before making a decision.

Written by Clara Lee