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Top Open-Source Speech-to-Text Tools for Developers

Explore our roundup of the best open-source speech-to-text tools for developers. Simplify transcription and improve your workflow with these cutting-edge solutions.

Table of Contents

  • Deepgram favicon

    Deepgram

    The Voice AI Platform for Developers

    Deepgram screenshot
    Usage Based

    Deepgram provides APIs for speech-to-text, text-to-speech, and speech-to-speech voice agents, enabling developers to build voice AI products and features.

    Key Features:

    • Speech-to-Text API: Unmatched accuracy, speed & cost.
    • Text-to-Speech API: Responsive, natural-sounding voices.
    • Audio Intelligence API: Powered by AI Language models.
    • Voice Agent API: For real-time AI Agents.
    • Speaker Diarization: Identifies and separates different speakers in audio.
    • Smart Formatting: Improves readability of transcripts.
    • Automatic Language Detection: Detects the language spoken in audio.
    • Summarization: Provides concise summaries of audio transcripts.

    Use Cases:

    • Contact Centers
    • Medical Transcription
    • Conversational AI
    • Speech Analytics
    • Media Transcription

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