Best Communications Software for Decibri
View:
Compare the Top Communications Software that integrates with Decibri as of November 2026
Sort By:
This a list of Communications software that integrates with Decibri. Use the filters on the left to add additional filters for products that have integrations with Decibri. View the products that work with Decibri in the table below.
What is Communications Software for Decibri?
Communications software enables users to exchange information through various digital channels, including messaging, voice, and video. It facilitates real-time and asynchronous interactions across devices and networks, enhancing collaboration and connectivity. Common types include email clients, VoIP applications, video conferencing tools, and instant messaging platforms. Businesses and individuals rely on these solutions for remote work, customer support, and team coordination. Advanced features such as encryption, AI-driven automation, and integration with other software improve security and efficiency. Compare and read user reviews of the best Communications software for Decibri currently available using the table below. This list is updated regularly.
-
1
Google Cloud Speech-to-Text
Google
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.Starting Price: Free ($300 in free credits) -
2
Amazon Transcribe
Amazon
Amazon Transcribe makes it easy for developers to add speech to text capabilities to their applications. Audio data is virtually impossible for computers to search and analyze. Therefore, recorded speech needs to be converted to text before it can be used in applications. Historically, customers had to work with transcription providers that required them to sign expensive contracts and were hard to integrate into their technology stacks to accomplish this task. Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy. Amazon Transcribe uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately. Amazon Transcribe can be used to transcribe customer service calls, automate subtitling, and generate metadata for media assets to create a fully searchable archive.Starting Price: $0.00013 -
3
AssemblyAI
AssemblyAI
Automatically convert audio and video files and live audio streams to text with AssemblyAI's speech-to-text APIs. Do more with audio intelligence, summarization, content moderation, topic detection, and more. Powered by cutting-edge AI models. From in-depth tutorials to detailed changelogs, to comprehensive documentation, AssemblyAI is focused on providing developers a great experience every step of the way. From core speech-to-text conversion to sentiment analysis, our simple API offers a full suite of solutions catered to all your business speech-to-text needs. We work with startups of all sizes, from early-stage startups to scale-ups, by providing cost-efficient speech-to-text solutions. We're built for scale. We process millions of audio files every day for hundreds of customers, including dozens of Fortune 500 enterprises. Universal-2: Our most advanced speech-to-text model captures the complexity of human speech for impeccable audio data that powers sharper insights.Starting Price: $0.00025 per second -
4
Deepgram
Deepgram
Deploy accurate speech recognition at scale while continuously improving model performance by labeling data and training from a single console. We deliver state-of-the-art speech recognition and understanding at scale. We do it by providing cutting-edge model training and data-labeling alongside flexible deployment options. Our platform recognizes multiple languages, accents, and words, dynamically tuning to the needs of your business with every training session. The fastest, most accurate, most reliable, most scalable speech transcription, with understanding — rebuilt just for enterprise. We’ve reinvented ASR with 100% deep learning that allows companies to continuously improve accuracy. Stop waiting for the big tech players to improve their software and forcing your developers to manually boost accuracy with keywords in every API call. Start training your speech model and reaping the benefits in weeks, not months or years.Starting Price: $0 -
5
Azure AI Speech
Microsoft
Build voice-enabled apps confidently and quickly with the Speech SDK. Transcribe speech to text with high accuracy, produce natural-sounding text-to-speech voices, translate spoken audio, and use speaker recognition during conversations. Create custom models tailored to your app with Speech studio. Get state-of-the-art speech to text, lifelike text to speech, and award-winning speaker recognition. Your data stays yours, your speech input is not logged during processing. Create custom voices, add specific words to your base vocabulary, or build your own models. Run Speech anywhere, in the cloud or at the edge in containers. Quickly and accurately transcribe audio in more than 92 languages and variants. Gain customer insights with call center transcription, improve experiences with voice-enabled assistants, capture key discussions in meetings and more. Use text to speech to create apps and services that speak conversationally, choosing from more than 215 voices, and 60 languages. -
6
Voxtral
Mistral AI
Voxtral models are frontier open source speech‑understanding systems available in two sizes—a 24 B variant for production‑scale applications and a 3 B variant for local and edge deployments, both released under the Apache 2.0 license. They combine high‑accuracy transcription with native semantic understanding, supporting long‑form context (up to 32 K tokens), built‑in Q&A and structured summarization, automatic language detection across major languages, and direct function‑calling to trigger backend workflows from voice. Retaining the text capabilities of their Mistral Small 3.1 backbone, Voxtral handles audio up to 30 minutes for transcription or 40 minutes for understanding and outperforms leading open source and proprietary models on benchmarks such as LibriSpeech, Mozilla Common Voice, and FLEURS. Accessible via download on Hugging Face, API endpoint, or private on‑premises deployment, Voxtral also offers domain‑specific fine‑tuning and advanced enterprise features.
- Previous
- You're on page 1
- Next
