Best Speech to Text Software for Microsoft Azure

Find and compare the best Speech to Text software for Microsoft Azure in 2024

Use the comparison tool below to compare the top Speech to Text software for Microsoft Azure on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Krater.ai Reviews
    Top Pick

    Krater.ai

    Krater.ai

    $7 per month
    7 Ratings
    Krater.ai is a user-friendly and comprehensive platform that provides a range of AI-powered tools and services, making it a powerful alternative to all the major AI services, tools, and apps. With Krater.ai, you can access all these tools and services in one convenient location, eliminating the need to switch between multiple apps and accounts that require different logins and pricing plans. Our AI-powered tool and templates enable you to generate 100% plagiarism-free content in seconds. You can be sure that your content is always original, allowing you to focus on creating high-quality content that resonates with your audience. Krater.ai offers competitive pricing plans that are tailored to meet your specific requirements. Whether you're a marketer, content creator, or small business owner, we have a pricing plan that suits your needs. Additionally, we have a free plan that you can try out without the need for a credit card.
  • 2
    Deepgram Reviews
    You can use accurate speech recognition at scale and continuously improve model performance by labeling data, training and labeling from one console. We provide state-of the-art speech recognition and understanding at large scale. We do this by offering cutting-edge model training, data-labeling, and flexible deployment options. Our platform recognizes multiple languages and accents. It dynamically adapts to your business' needs with each training session. Enterprise-specific speech transcription software that is fast, accurate, reliable, and scalable. ASR has been reinvented with 100% deep learning, which allows companies to improve their accuracy. Stop waiting for big tech companies to improve their software. Instead, force your developers to manually increase accuracy by using keywords in every API call. You can train your speech model now and reap the benefits in weeks, instead of months or even years.
  • 3
    Azure Speech to Text Reviews

    Azure Speech to Text

    Microsoft

    $1 per audio hour
    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.
  • 4
    Azure Speech Translation Reviews
    Translate audio in more than 30 languages, and customize your translations to your organization's terms. All in your preferred programming langauge. Powered by neural machine translation, you can enjoy fast and reliable speech translation. With a single API request, you can generate speech-to speech and speech-to text translations. Speech Translation uses the context of complete sentences to provide accurate and fluent translations, improving communication between speakers of various languages. You can customize speech recognition and translation to meet the terminology of your business or industry. You can train and deploy a custom-made translation system without machine learning expertise. Speech Translation can remove fillers (such as "um," "uh," or coughs), repeating words, and add proper punctuation, capitalization, and omit profanities to produce more readable translations. With an engine that is trained to normalize the speech output, you can deliver readable translations.
  • 5
    Azure AI Speech Reviews
    The Speech SDK makes it easy to create voice-enabled apps quickly and confidently. The Speech SDK can accurately transcribe speech to text, create natural-sounding text/speech voices, and translate spoken audio. It can also be used to recognize speaker during conversations. Speech studio allows you to create custom models that are tailored to your app. Speech studio offers state-of the-art speech-to-text, speech-to-text, and award-winning speaker recognition. Your speech input is not recorded during processing, so your data remains yours. You can create custom voices, add words to your base vocabulary, and build your own models. Speech can be run anywhere, in the cloud and at the edge in containers. Transcribe audio in more than 92 languages. Call center transcription can help you gain customer insight, improve customer experience with voice-enabled assistants and capture key discussions in meetings. Text to speech allows you to create apps and services that can speak conversationally using more than 215 voices and 60 languages.
  • 6
    Converse Smartly Reviews
    Converse Smartly®, a powerful speech-to-text software, converts audio into text. It allows individuals and organizations to work smarter, quicker, and with greater accuracy. It can be used to analyze speech and dialogue from interviews, team meetings, conferences, and seminars. We aim to be the best online speech recognition tool. We use cutting-edge speech-recognition technology to achieve the most accurate results. Additionally, we incorporate built-in tools to improve productivity, efficiency, and comfort. For speech recognition with exceptional accuracy, render the most advanced deep-learning neural networks algorithms to the audio subject. Converse Smartly(s), Speech-to-Text accuracy improves with continuous machine learning powered through enhanced algorithms. This improves the internal speech recognition technology used in multiple products.
  • Previous
  • You're on page 1
  • Next