Speechlogger Reviews

Transcribe audio to text quickly and accurately in more than 85 languages. To improve accuracy for domain-specific terminology, you can customize models. You can get more value from spoken voice by enabling search, analytics and facilitating action in your preferred programming language. With state-of the-art speech recognition, you can get accurate audio-to-text transcriptions. You can add specific words to your vocabulary or create your own speech-to text models. Speech to Text can be used anywhere, in the cloud and at the edge in containers. The same robust technology powers speech recognition across Microsoft products. Convert audio from microphones to text using blob storage. To determine who said what, use speaker diarisation. You can get readable transcripts with automatic formatting. You can tailor your speech models to suit industry and organization terminology.

Speechmatics is the most accurate and inclusive speech-to-text API ever released. Speechmatics is the world’s leading expert in Speech Technology, combining the latest breakthroughs in AI and ML to unlock the business value in human speech. Businesses use Speechmatics worldwide to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect, or location in real-time and on recorded media. Combining these transcripts with the latest AI-driven speech capabilities, businesses build products that utilize summarization, topic detection, sentiment analysis, translation, and more. How is Speechmatics different? * The most accurate speech recognition on the market * 55 languages with vast accent and dialect coverage * Cloud-based or on-premises deployment options for data security * Real-time transcription with low latency and high accuracy * Real-time translation with 69 language pairs * Speech Understanding features such as Summaries, Sentiment, Topic Detection, Chapters, Audio Events * Fast and secure transcriptions for pre-recorded audio * Automatic translation and language identification * A culture of R&D in deep learning and speech recognition