Google Cloud Text-to-Speech vs. Respeecher Comparison Chart

AI Powered Text to Voice Generation. Play.ht offers uncanny, high-fidelity AI Voices for any project where you need human-sounding voice overs and performances. Hollywood studios, auto manufacturers, and other large enterprises use Play.ht to create realistic and engaging voiceovers quickly, without the hassle of scheduling and hiring voice talent. Our voices sound natural, expressive, and engaging, just like human voice talent. Play.ht offers API access as well as an online rich-text editor that allows you to generate entire performances with multiple speakers, edit their pacing, and generate unique versions of each paragraph - all within seconds. Join other companies looking to scale up and simplify their voice work by scheduling a live demo today.

Dialogflow from Google Cloud is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product. Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech. Dialogflow CX and ES provide virtual agent services for chatbots and contact centers. If you have a contact center that employs human agents, you can use Agent Assist to help your human agents. Agent Assist provides real-time suggestions for human agents while they are in conversations with end-user customers.

Google Cloud’s Speech API processes more than 1 billion voice minutes per month with close to human levels of understanding for many commonly spoken languages. Powered by the best of Google's AI research and technology, Google Cloud's Speech-to-Text API helps you accurately transcribe speech into text in 73 languages and 137 different local variants. Leverage Google’s most advanced deep learning neural network algorithms for automatic speech recognition (ASR) and deploy ASR wherever you need it, whether in the cloud with the API, on-premises with Speech-to-Text On-Prem, or locally on any device with Speech On-Device.

Speechmatics is the most accurate and inclusive speech-to-text API ever released. Speechmatics is the world’s leading expert in Speech Intelligence, 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 and chapter detection, sentiment analysis, translation, and more. Speechmatics processes over 500 years of transcription worldwide every month in 50 languages and can translate 69 language pairs. Having pioneered machine learning in speech recognition, its neural networks consider acoustics, languages, dialects, multiple speakers, punctuation, capitalization, context, and implicit meanings.

Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.

Make your content and apps multilingual with fast, dynamic machine translation available in thousands of language pairs. The basic edition of the Translation API translates the texts of your website and your applications into more than 100 languages ​​instantly. The Advanced edition offers dynamic results just as quickly as the Basic edition, but also includes other customization features, which is very important when you use phrases or terms that are specific to specific areas and contexts. The pre-trained model of the Translation API supports over a hundred languages, from Afrikaans to Zulu. With AutoML Translation you can create custom models in more than fifty language pairs. Thanks to the Translation API glossary, the content you translate will remain true to your brand. You just have to indicate which vocabulary you want to give priority to and save the glossary file in your translation project.

Communication Platform As A Service (CPaaS). smsmode© provides complete mobile messaging routing services. SMS, TTS, Google RCS or WhatsApp Business. Connect with your customers around the world via our innovative and powerful tools, with the level of security you need to ensure. smsmode© integrates easily with your existing tools to increase their potential through mobile messaging. Use our REST API, SMPP and plugins to create these custom integrations with your applications, CRM, ERP, and more. Our documentation and our experts will help you to reach your goals! European solution GDPR compliant ISO 27001 & 27701 99.95% SLA Responsability Europe CSR Commitment

Create a scalable voice experience with the API that connects millions globally. With Twilio Voice, you can build unique phone call experiences with one API, to create, receive, control and monitor calls with just a few lines of code. Create an engaging voice experience that you can quickly scale and modify with a wide array of customization options and resources, like our Voice SDK. Then, add on features like Interactive Voice Response (IVR), recording transcriptions, and speech recognition to create an experience that your customers will appreciate. Whether you're looking to set up global conferencing or alerts & notifications, Twilio has the support you need for building with Voice. Find docs, code samples, helper libraries, and developer tools such as Twilio Runtime and our visual workflow builder, Studio.

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection.

Qloo is the “Cultural AI”, decoding and predicting consumer taste across the globe. A privacy-first API that predicts global consumer preferences and catalogs hundreds of millions of cultural entities. Through our API, we provide contextualized personalization and insights based on a deep understanding of consumer behavior and more than 575 million people, places, and things. Our technology empowers you to look beyond trends and uncover the connections behind people’s tastes in the world around them. Look up entities in our vast library spanning categories like brands, music, film, fashion, travel destinations, and notable people. Results are delivered within milliseconds and can be weighted by factors such as regionalization and real-time popularity. Used by companies who want to incorporate best-in-class data in their consumer experiences. Our flagship recommendation API delivers results based on demographics, preferences, cultural entities, metadata, and geolocational factors.